← Back Titan Company IRTH Growth Pilot
Fragrances & AccessoriesFY26 pilot
Fragrances & Accessories · Titan Company

IRTH growth pilot, at a glance

A bags and accessories business built on repeat gifting, seasonal collections and quick after sales on hardware and zips.

60+
IRTH stores and shop-in-shops
30+
Cities and towns covered
₹150 Cr+
Accessories scale
35
Consoles live on this brand
Open

Aiera Live

Pick the sales or support agent, place a real call, and watch the conversation and quality record.

Open

Retention and dormancy

2,40,000 quiet identities across 4 segments, with a dated call list at the end.

Open

Value model

What the pilot is worth on the network figures, with every input on the screen.

What the published figures say

  • Positioned for the working woman, sold through own stores and online.
  • Collections turn over quickly, so availability messaging matters.
  • Hardware and zip repair is the main after sales driver.

Range and price ladder

CategoryPrice bandShare of mix
Work totes₹2,600 – ₹6,50032%
Sling and crossbody₹1,800 – ₹4,20027%
Wallets and small leather₹900 – ₹2,40022%
Occasion clutches₹2,200 – ₹5,50019%

Price bands follow published IRTH ranges. Mix shares are modelled from the category ladder and the store network.

Six teams, one view per head

The platform is organised the way IRTH is run, so every head opens the console that belongs to them.

Team 01

Retail and stores

Head of retail

Team 02

Clinical and quality

Head of optometry

Team 03

Customer and loyalty

Head of customer

Team 04

Marketing and campaigns

Head of marketing

Team 05

Service and fitment

Head of service

Team 06

Method

Head of finance

Platform map

Every module on the platform, the engine behind each one, and what it does on this brand.

#ModuleEngineWhat it does
01Inbound call deskVoiceEvery inbound call answered in the caller's language, coded by reason, with the outcome written back.
02Outbound enquiry deskVoiceEnquiries called back within the hour, with a dated next step on every record.
03Aiera LiveVoiceThe live call desk: pick an agent, place the call, watch the conversation and the quality record.
04Appointment bookPlatformAdvisor and store calendars, held slots and reminder calls before every appointment.
05Lead scoringScanningIntent read from enquiry source, category and response, so the desk calls the right record first.
06Dormancy engineScanningContinuous read of the IRTH customer book for records that have gone quiet.
07Reactivation ladderVoiceA five step contact ladder with a stop rule, so no customer is called twice for the same reason.
08Loyalty deskPlatformTier movement, benefit reminders and the calls that keep a member from slipping a tier.
09Campaign runnerGenerationScripts and messages per campaign, published to the desk with the calendar attached.
10Messaging deskMessagingWhatsApp and chat where a message clears the volume more cheaply than a call.
11Service deskVoiceJob intake, status calls and completion confirmation across 3 job types.
12Warranty and claimsPlatformClaim intake, evidence capture and escalation with an audit trail on every claim.
13Store network viewPlatformStore level demand, staffing pressure and conversion, region by region.
14Store auditScanningDisplay, stock and process compliance scored per store, with dated actions.
15Stock and availabilityScanningEnquiries matched to what a store actually holds, so the desk stops promising blind.
16Quality recordPlatformEvery conversation scored on the same rubric, at issue level, never at individual level.
17Value modelPlatformLive calculator from the network figures, with every assumption on the screen.
18Data readinessPlatformWhat is connected, what is modelled and what is needed to go live.
19GovernancePlatformConsent, retention windows, language policy and what the system will not do.
20Marketing studioGenerationFive campaign images and five reels generated for IRTH, with the beat sheet and channel on each.
21AI product portfolioMethodFive AI products scored on impact against effort, with the integrations each one needs.
22Caller coachingPlatformSix behaviours scored on every call, with next week's drill written from the lowest one.
23Call analysisScanningEvery conversation transcribed, coded and scored, with the objection and the next step on the record.
24Market senseScanningLive web intelligence on IRTH in six buckets, read off the open web with every source linked.
25Commercial termsMethodFlat retainer, usage as pass through and the month six review.

Aiera Live · IRTH call desk

Two live voice agents run on this brand: a sales and enquiry agent, and a customer support agent. Both speak English with natural Hinglish switching, close within a 300 second ceiling and end with a WhatsApp or callback offer.

Agent 01

Sales and enquiry — Aditi

Calls back new enquiries, explains the range in two or three lines, and books a store or advisor appointment. Never quotes exact prices or discounts.

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Agent 02

Customer support — Neha

Takes the issue, repeats it back to confirm, states the next step and who will do it, and escalates to a senior advisor when the store or service centre is needed.

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Place a real call now
+91

The call is placed from the IRTH agent on this console. Only Indian mobile numbers are accepted.

How a call is recorded

FieldWritten byExample
Reason codeAgent, from the conversationWork totes enquiry
OutcomeAgent, at closeAppointment booked
Next step and dateAgent, at closeStore advisor call in 2 days
Language usedTranscriberEnglish with Hindi switching
Quality scoreQuality record, issue levelRubric score on 5 dimensions

Enquiry and lead desk

Every enquiry gets a call attempt inside the hour, a reason code, and a dated next step. Nothing sits in a spreadsheet.

96,000
Enquiries a year, all sources
52%
Contact rate on the ladder
16%
Contacted to purchase
₹3,200
Average ticket on this brand

Live enquiry queue

EnquirySourceCategoryStoreAgeNext step
A. MenonWebsiteWork totesNorth40 minAppointment
R. IyerStore walk-inSling and crossbodyWest2 hCall now
S. BhatiaWhatsAppWallets and small leatherSouth6 hAppointment
N. DasMarketplaceOccasion clutchesEast1 dayCall now

Customer names are masked on this console. Source, category and ageing follow the live enquiry mix.

Funnel on current inputs

StageVolume a yearRate
Enquiries received96,000100%
Reached on the ladder49,92052%
Converted to purchase7,98716% of reached
Revenue at average ticket₹21.3 L a month₹2.6 Cr a year

The appointment desk

An answered call is worth nothing until a slot is held. The desk holds the slot on the call, confirms it the day before, and writes the outcome back.

1,872
Appointments a month at current contact rates
79%
Honoured after a reminder call
15 min
Average time from call to held slot

Appointment types held on this brand

TypeLengthWho it is withReminder
Scent consultation30 minutesStore advisorCall the day before, message two hours before
Gifting appointment25 minutesStore advisorCall the day before, message two hours before
Corporate gifting call45 minutesTrade deskCall the day before, message two hours before
Sample pick up10 minutesStore counterCall the day before, message two hours before

Rules the desk follows

  • A slot is only offered when the calendar shows it open; the agent never promises a time it cannot hold.
  • Every appointment carries a named person at the store, not just a store name.
  • A no show is called once, the same day, and re-offered a different window.

Service and warranty desk

Job intake, status calls and completion confirmation, so the customer never has to chase the store.

Job typeStandard turnaroundVolumeDesk action
Zip and hardware repair7 days4,600 / monthStatus call at intake, midpoint and completion
Handle replacement9 days1,900 / monthStatus call at intake, midpoint and completion
Warranty assessment5 days2,300 / monthStatus call at intake, midpoint and completion
8,800
Service conversations a month
78%
Handled without a store call back
1 days
Average time saved per job

Escalation rules

  • Any job past its standard turnaround is escalated to the store manager the same day.
  • A second complaint on the same job goes straight to a senior advisor, never back to the agent.
  • Warranty decisions are never communicated by the agent until the service centre has confirmed them.

Messaging desk

Not every conversation deserves a call. Where a message clears the volume more cheaply and more politely, the desk sends a message.

ReasonChannelWhy not a call
Appointment confirmation and reminderWhatsAppNothing to discuss, only to confirm
Order, job or repair status updateWhatsAppA date is easier read than heard
Lookbook and priced setWhatsAppThe customer needs to see it
Store address, timing and directionsSMS or WhatsAppDetail the caller will forget
Consent and opt out captureWhatsAppWritten record required
6,400
Messages a month at current volumes
34%
Call volume moved to messaging
₹4.6 L
Contact cost avoided a year

Messaging cost avoidance is modelled at the difference between a messaging contact and a voice contact on Indian rates.

Retention and dormancy

2,40,000 identities have gone quiet on this brand. The engine reads the customer book continuously and produces a dated call list per segment.

SegmentSizeAction on the ladder
One bag bought, 10 months quiet128,000New collection call
Cart abandoned62,000Recovery call
Gifting buyer, occasion due44,000Occasion reminder
Repair completed, no repeat16,800Care and upgrade call
Segment builder
11,280
Customers back in a year
₹3.6 Cr
Value recovered at that rate

Segment sizes are modelled from the 60+ strong network and the published customer base. Every rate here is an editable input.

Replenishment book

Fragrance and accessories repeat on consumption, not on occasion. The IRTH book is built from bottle size and purchase date.

Cohort in the bookSizeWhat the desk does
Buyers with a dated last purchaseModelled from sell out volumeReplenishment call at week 14
Bought a 100 ml, four months on21% of buyersRefill and variant call
Sampled but never bought18% of sampled recordsOne follow up call
Gifting buyer, festival window15% of the bookOccasion call two weeks before

How the desk behaves on it

  • The agent recommends by note family from the record, never by discount.
  • One replenishment call per cycle; a customer who declines is skipped next cycle.

Book sizes are modelled from the 60+ irth stores and shop-in-shops and comparable programmes. Each one is replaced with the brand's own figure in the first data session.

Loyalty desk

Tier movement is the cheapest growth on this brand: a member about to slip a tier is worth a call, and a member one purchase away from the next tier is worth two.

TierEntry criteriaMembers
IRTH InsiderFirst purchase420,000
Insider PlusTwo purchases in 12 months38,000

What the desk does with it

TriggerCallWindow
One purchase away from the next tierBenefit and upgrade callWithin 7 days
Tier expiring in 60 daysRetention call with the benefit spelled outTwo attempts
Benefit unused for 6 monthsReminder call, no offerOne attempt
Birthday or anniversary in the recordOccasion callThree days before

Campaigns and launches

Each campaign arrives at the desk as a script, a call list and a stop rule, not as a brief.

CampaignWindowChannelDesk output
Work edit launchQuarterlyMessagingScript, dated list, stop rule
Festive giftingOctoberVoiceScript, dated list, stop rule

Category focus in the current window

CategoryPrice bandShare of calls
Work totes₹2,600 – ₹6,50034%
Sling and crossbody₹1,800 – ₹4,20027%
Wallets and small leather₹900 – ₹2,40021%
Occasion clutches₹2,200 – ₹5,50018%

Campaign names describe campaign types, not confirmed IRTH plans. Call shares are modelled on comparable windows.

Replenishment and launch trigger desk

Consumption clock by bottle size, plus new variant launches and gifting windows.

TriggerWho gets calledWindow
Consumption window reachedBuyers by bottle sizeReplenishment call
New variant in the note familyMatching buyersOne launch call
Gifting season opensLast year's gifting buyersCall two weeks before
Sampled, no purchase in 30 daysSampled recordsOne follow up call

Rules on the trigger

  • A 100 ml bottle bought 14 weeks ago opens a replenishment call window.
  • A new variant in a customer's note family opens one launch call.
  • Two declined replenishment calls stop the ladder for that customer.

A trigger only ever opens a call window. It never sends an offer, a price or a discount on its own.

Concierge desk and scent consultation

Choosing a fragrance is a conversation about notes. The desk books that conversation and sends samples first.

ServiceHow it runsWho it is for
Scent consultationNote profile built with the customerNew and gifting buyers
Sample set dispatchThree samples chosen on the callUndecided buyers
Gifting and engravingPacked and personalisedFestival and corporate orders
Corporate bulk giftingQuote and dispatch managedCompany accounts
2.1×
Conversion against a walk in enquiry
28%
Share of high value enquiries routed here
24 h
Time from enquiry to a held session

Uplift and routing shares are modelled on comparable appointment led retail. They are inputs, not claims.

Note lookbook and gifting guide

A short set by note family and occasion, priced, with the sample dispatch offered on the same call.

SetWhat is in itWhen it is sent
Note family editThree fragrances, one familySent on WhatsApp
Gifting under a stated budgetPriced against the customer's numberSent inside the hour
Day and evening pairTwo bottles, stated wearSent on request
Accessory pairing setBag or belt matched to the giftSent with the quote

What a brief carries

FieldWritten byExample
Customer's stated budgetAgent, on the call₹3,840
Occasion or reasonAgent, on the callWork edit launch
Category shortlistDesk, from the rangeWork totes
Store and personDesk, from the calendarNorth flagship
Sent onMessaging deskWhatsApp, within the hour

Marketing studio · IRTH

Five campaign images and five reels built for IRTH from its own range, occasions and audience. Every frame is generated on brand and carries the concept, the channel and the call to action it was written for.

10
Creatives shipped on this brand
5
Campaign images, feed and catalogue
5
Reels, 9:16 storyboard
2
Live campaign windows to feed

Five campaign images

IRTH campaign creative: Hero product still — structured IRTH handbag on a studio block 1200 × 750 · feed

Women's handbags and accessories

IRTH

Hero product still — structured IRTH handbag on a studio block

Single subject, no clutter. Used as the anchor frame for the a work to weekend bag push and cut down for stories.

Product heroWorking women, 24 to 38Instagram feed · Meta paid

Book a store visit

IRTH campaign creative: A work to weekend bag campaign frame 1200 × 750 · feed

Made for a work to weekend bag.

IRTH

A work to weekend bag campaign frame

Human moment around the product, shot to run through the a work to weekend bag calendar in every region.

OccasionWorking women, 24 to 38Meta + YouTube masthead

See the collection

IRTH campaign creative: Store and service frame 1200 × 750 · feed

60+ irth stores and shop-in-shops

IRTH

Store and service frame

Retail proof for local campaigns: the room, the advisor and the process a customer walks into.

Retail experienceWorking women, 24 to 38Google Performance Max · local

Find your nearest store

IRTH campaign creative: Craft and proof frame 1200 × 750 · feed

Vegan leather, built for a laptop and a day out

IRTH

Craft and proof frame

Macro proof frame used wherever the claim needs evidence: process, tolerance, certification, hand work.

Craft proofWorking women, 24 to 38Brand film stills · PR

Read how it is made

IRTH campaign creative: Range and price ladder frame 1200 × 750 · feed

4 ranges, one ladder

IRTH

Range and price ladder frame

Flat lay of the ladder from occasion clutches to work totes, used in CRM and catalogue.

RangeWorking women, 24 to 38Catalogue · CRM email

Browse the range

Five reels

Each reel ships as a beat sheet with its opening frame, ready to shoot or generate on approval.

IRTH campaign creative: Three second hook reel 720 × 1280 · 9:160:08

Women's handbags and accessories

IRTH

Three second hook reel

Opens on a structured IRTH handbag on a studio block in motion, holds one line, ends on the store CTA.

  1. 0-2s Macro push in on a structured IRTH handbag on a studio block
  2. 2-5s Pull back to reveal a pastel studio set with geometric blocks
  3. 5-8s Hold on the product, CTA card
Product heroWorking women, 24 to 38Instagram Reels · Shorts

Book a visit

IRTH campaign creative: A work to weekend bag story reel 720 × 1280 · 9:160:10

The a work to weekend bag film.

IRTH

A work to weekend bag story reel

One customer moment, working women, 24 to 38, shot handheld and cut tight.

  1. 0-3s The moment before: a work to weekend bag preparation
  2. 3-7s The product enters the frame
  3. 7-10s Reaction, then the brand card
OccasionWorking women, 24 to 38Reels · WhatsApp status

See the collection

IRTH campaign creative: How it works reel 720 × 1280 · 9:160:10

Vegan leather, built for a laptop and a day out

IRTH

How it works reel

Screen recorded and shot steps of the actual process, used to answer the top objection.

  1. 0-3s The question a customer asks
  2. 3-7s The process on camera: vegan leather, built for a laptop and a day out
  3. 7-10s What the customer walks away with
ExplainerWorking women, 24 to 38Shorts · store screens

Talk to an advisor

IRTH campaign creative: Store walkthrough reel 720 × 1280 · 9:160:08

Walk into IRTH.

IRTH

Store walkthrough reel

Single take walk through the store, cut to the retail and stores script.

  1. 0-2s Door opens, camera walks in
  2. 2-6s Advisor presents a structured IRTH handbag on a studio block
  3. 6-8s Appointment card, store name
Retail experienceWorking women, 24 to 38Local Reels · Maps

Find your store

IRTH campaign creative: Customer voice reel 720 × 1280 · 9:160:10

Why working women choose us.

IRTH

Customer voice reel

Creator style piece to camera, no studio polish, subtitled for sound off viewing.

  1. 0-3s Piece to camera, one honest line
  2. 3-7s Cut to a structured IRTH handbag on a studio block in real use
  3. 7-10s Recommendation, brand card
Social proofWorking women, 24 to 38Reels · influencer whitelisting

Book a call back

Campaign windows these creatives feed

CampaignWindowChannelCreative used
Work edit launchQuarterlyMessagingHero product still — structured IRTH handbag on a studio block + Three second hook reel
Festive giftingOctoberVoiceA work to weekend bag campaign frame + A work to weekend bag story reel

Creative concepts are written from published IRTH range and occasion language. Visuals are generated for this console and are not shot campaign assets.

AI product portfolio · IRTH

Five AI products designed for IRTH specifically, each naming the bottleneck it removes, what gets built, and the one number it moves. Scored on business impact against build effort.

5
Products in the portfolio
78/100
Average impact score
4
Quick wins: high impact, low effort
4
Shippable inside 90 days
#ProductMovesImpactEffortHorizonStagePayback
01Scent and style profilerTrial to purchase rate85/10030/100NowPrototype8 weeks
02Gifting and replenishment deskRepeat purchase rate67/10062/100NextConcept11 weeks
03Enquiry-to-appointment agentEnquiry to appointment rate78/10044/100NowPilot6 weeks
04Dormancy and reactivation engineReactivated customers per month81/10042/100NowPilot8 weeks
05Conversation intelligence for the estateObjections resolved before escalation78/10036/100NowPrototype10 weeks
Product 01 · Now · Prototype

Scent and style profiler

The bottleneck. Choice is the barrier: a customer cannot pick from the IRTH range online, and returns follow every blind buy.

What gets built. A short conversational profiler on occasion, intensity and season that recommends two options from 4 families with a sampling or in-store trial offer attached.

Who uses it. Marketing team, e-commerce, trade counters

Why it holds. The profiler learns from repeat-purchase data, so recommendations tighten every quarter.

Preference elicitation flowFamily and note embeddingSampling offer engineAiera ConverseAiera Sense
IntegrationWhat moves acrossState
CatalogueFamilies, notes, intensity and priceIn build
E-commerceSampling offer and cart handoffPlanned

Moves: Trial to purchase rate. Impact 85/100 against 30/100 build effort, payback 8 weeks.

Product 02 · Next · Concept

Gifting and replenishment desk

The bottleneck. Fragrance and accessories are consumed on a predictable cycle, and nobody calls when the bottle is about to run out.

What gets built. A replenishment engine that estimates the empty date from size and usage band, calls with a refill or upgrade at the right week, and runs a gifting calendar for dated occasions in the record.

Who uses it. Customer team, trade marketing, e-commerce

Why it holds. Cycle estimates from the brand's own repeat data beat any generic reorder reminder.

Consumption cycle modelOccasion calendarOffer sequencingAiera PredictAiera Engage
IntegrationWhat moves acrossState
Purchase historySize, date and channel per purchaseIn build
Messaging deskRefill nudge before the callLive

Moves: Repeat purchase rate. Impact 67/100 against 62/100 build effort, payback 11 weeks.

Product 03 · Now · Pilot

Enquiry-to-appointment agent

The bottleneck. Enquiries reach IRTH faster than the floor can call them back. The ones called on day three convert at a fraction of the ones called inside the hour.

What gets built. A voice agent that calls every new enquiry within the hour in the caller's language, qualifies category and budget band without quoting a price, and writes a held slot into the advisor calendar at 60+ locations.

Who uses it. Retail and stores team, store managers, advisors

Why it holds. Trained on IRTH range language and objection handling, with the price guardrail written into the policy layer.

Voice LLM with tool callingHinglish ASR and TTSCalendar hold APICRM write-backAiera ConverseAiera Engage
IntegrationWhat moves acrossState
CRM / lead storeEnquiry in, outcome and reason code outLive
Store calendarSlot held before the call endsIn build
WhatsApp BusinessConfirmation and reminder on the same threadLive

Moves: Enquiry to appointment rate. Impact 78/100 against 44/100 build effort, payback 6 weeks.

Product 04 · Now · Pilot

Dormancy and reactivation engine

The bottleneck. 2,40,000 identities in the IRTH book have gone quiet, and the estate has no ranked reason to call any one of them today.

What gets built. A scoring engine that reads recency, category, ticket and last conversation, then publishes a dated call list per store with a five step ladder and a hard stop rule, across 4 segments.

Who uses it. Customer and loyalty team, regional heads

Why it holds. The stop rule and consent ledger mean the same customer is never worked twice for the same reason across channels.

Gradient-boosted propensity modelSegment rules engineContact-policy ledgerAiera SenseAiera PredictAiera Engage
IntegrationWhat moves acrossState
Customer book2 tiers and transaction history scored nightlyIn build
Call deskRanked list pushed to the dialler each morningLive
AttributionStore billing matched back to the callPlanned

Moves: Reactivated customers per month. Impact 81/100 against 42/100 build effort, payback 8 weeks.

Product 05 · Now · Prototype

Conversation intelligence for the estate

The bottleneck. Nobody at IRTH can answer what customers actually asked for last week without listening to calls one by one.

What gets built. Every call and chat transcribed, coded to a reason taxonomy, and rolled up to region, store and category, with the top rising objection surfaced weekly at issue level only.

Who uses it. Marketing and campaigns team, category heads, quality

Why it holds. A reason taxonomy built for this vertical, scored at issue level and never at individual advisor level.

Streaming ASRReason-code classifierObjection clusteringWeekly rollup warehouseAiera SenseAiera Context
IntegrationWhat moves acrossState
TelephonyRecording and metadata ingested per callLive
Quality rubricSame rubric applied to every conversationIn build
BIWeekly reason report to the leadership packPlanned

Moves: Objections resolved before escalation. Impact 78/100 against 36/100 build effort, payback 10 weeks.

Impact and effort are scored by the build team on the brand's own volumes, and are re-scored at the month six review.

AI product 01 of 5 · IRTH · Now, Prototype

Scent and style profiler

Choice is the barrier: nobody picks blind from the IRTH range. A short profiler narrows it to two options and attaches a trial.

2,995
Returns avoided
85/100
Business impact score
30/100
Build effort score
8 weeks
Payback on the pilot
The bottleneck

What is broken today

Choice is the barrier: a customer cannot pick from the IRTH range online, and returns follow every blind buy.

The build

What gets built

A short conversational profiler on occasion, intensity and season that recommends two options from 4 families with a sampling or in-store trial offer attached.

How it works, end to end

StepStageWhat happens on this brand
01ProfiledFour questions on occasion, intensity, season and what the customer already wears.
02MatchedAnswers matched to families across 4 groups, with note and intensity embeddings.
03Two optionsTwo recommendations, never a list, each with why it was picked in one line.
04Trial attachedSampling offer or an in-store trial at the nearest counter, with a dated follow-up.
05Learned fromRepeat purchase and return data tighten the profiler every quarter.

The value, on IRTH numbers

MeasureFigureHow it is arrived at
Profiles completed a month49,920Web, app and counter
Trials issued21,965Sampling or in-store trial
Trial to purchase8,34738% of trials convert
Returns avoided2,995Blind buys removed by the profiler
Value from profiled trials₹2.7 CrAt the ₹3,200 average ticket

Moves: Trial to purchase rate. Every figure above is computed from the inputs on the value model console, so changing an input changes this table.

Quick demo: four questions to two options

Quick demo

A customer wants something for daily office wear in a humid city and dislikes sweet notes.

Input the product readsValue
OccasionDaily, office
SeasonHumid, year round
Currently wearsA citrus body spray
DislikesSweet, heavy notes
ProfilerKya yeh daily office ke liye chahiye ya evening ke liye?
CustomerDaily office.
ProfilerKaunsi cheez pasand nahi — sweet, woody, ya musk?
CustomerSweet bilkul nahi.
ProfilerDo options rakhta hoon: Work totes family se ek fresh option, aur Sling and crossbody se ek light woody. Dono ₹2,600 – ₹6,500 band mein.
ProfilerNearest counter par trial rakh deta hoon, aur 5 din baad ek follow-up call karunga.
What the product wrote back
ResultValue
Options given2, never a long list
TrialCounter trial reserved
Follow-upDated, 5 days
Expected trial-to-buy38%

Two options with a reason beats a catalogue. The profiler improves as repeat data lands.

Who uses it, and why it holds

Users

Inside IRTH

Marketing team, e-commerce, trade counters

Moat

Why it is defensible

The profiler learns from repeat-purchase data, so recommendations tighten every quarter.

Preference elicitation flowFamily and note embeddingSampling offer engineAiera ConverseAiera Sense

Systems it needs

IntegrationWhat moves acrossState
CatalogueFamilies, notes, intensity and priceIn build
E-commerceSampling offer and cart handoffPlanned

Rollout on this brand

WindowMilestoneOwner
Week 1-2Connect the source systems and replay 30 days of IRTH history through the modelBuild team, brand IT
Week 3-4Pilot on 8 stores in NorthRegional retail head
Week 5-8Widen to the full region, publish the weekly reason and outcome reportDesk lead, brand owner
Week 9-12Estate rollout with the stop rule and consent ledger enforcedBrand owner, method review

Guardrails

  • No price, discount or making-charge negotiation on the call; the agent states published terms only.
  • Consent captured and logged in the first 15 seconds, with an immediate opt-out honoured across every channel.
  • A single stop rule across the estate: the same IRTH customer is never worked twice for the same reason.
  • Scored at desk, region and issue level, never against a named advisor.
  • Recordings retained for the agreed window, then deleted; transcripts hold no card or ID data.

Impact 85/100 against 30/100 build effort. Horizon Now, current stage Prototype, payback 8 weeks. Re-scored at the month six review.

AI product 02 of 5 · IRTH · Next, Concept

Gifting and replenishment desk

IRTH products are consumed on a predictable cycle, and nobody calls when the bottle is empty. This desk calls at the right week, and again before every gifting peak.

7,200
Gifting-peak conversions
67/100
Business impact score
62/100
Build effort score
11 weeks
Payback on the pilot
The bottleneck

What is broken today

Fragrance and accessories are consumed on a predictable cycle, and nobody calls when the bottle is about to run out.

The build

What gets built

A replenishment engine that estimates the empty date from size and usage band, calls with a refill or upgrade at the right week, and runs a gifting calendar for dated occasions in the record.

How it works, end to end

StepStageWhat happens on this brand
01Cycle estimatedSize, purchase date and channel used to estimate the finish week per customer.
02Gifting calendar heldWork edit launch and the rest of the gifting calendar held alongside the cycle.
03Nudged then calledA message at the estimated finish week; a call only if the message goes unanswered.
04Bundle offeredRefill or the same family at the size that matches how the customer actually buys.
05MeasuredRepeat rate per cycle and per campaign window, reported monthly.

The value, on IRTH numbers

MeasureFigureHow it is arrived at
Customers on a known cycle96,000Purchase history with size and date
Nudges due a month11,520Estimated finish week
Repeat purchases from nudges2,41921% of nudges convert
Gifting-peak conversions7,200Across the gifting windows
Value from repeats₹3.1 CrAt the ₹3,200 average ticket

Moves: Repeat purchase rate. Every figure above is computed from the inputs on the value model console, so changing an input changes this table.

Quick demo: a refill nudge that lands in the right week

Quick demo

A 100ml purchase 11 weeks ago, bought at a counter, with a gifting window opening in 12 days.

Input the product readsValue
Last purchase100ml, 11 weeks ago
Estimated finishWeek 12
Channel preferenceCounter, not online
Window openingWork edit launch
DeskMessage: aapki last bottle ab khatam hone wali hogi. Nearest counter par refill available hai.
EngineNo reply in 72 hours. Escalating to a call, once.
AgentNamaste, IRTH se. Refill ke liye call kiya hai, aur Work edit launch window bhi khul rahi hai.
CustomerGift bhi lena hai ek.
AgentPhir Sling and crossbody family mein gifting option dikha deta hoon. Counter par dono rakhwa deta hoon.
EngineOutcome written, next cycle re-estimated from this purchase.
What the product wrote back
ResultValue
Contact attempts1 message, 1 call
OutcomeRefill plus a gifting add-on
Cycle re-estimatedYes, from this purchase
Further contactNone until the next cycle

One nudge, one call, then silence until the next cycle. The stop rule is what keeps this welcome.

Who uses it, and why it holds

Users

Inside IRTH

Customer team, trade marketing, e-commerce

Moat

Why it is defensible

Cycle estimates from the brand's own repeat data beat any generic reorder reminder.

Consumption cycle modelOccasion calendarOffer sequencingAiera PredictAiera Engage

Systems it needs

IntegrationWhat moves acrossState
Purchase historySize, date and channel per purchaseIn build
Messaging deskRefill nudge before the callLive

Rollout on this brand

WindowMilestoneOwner
Week 1-2Connect the source systems and replay 30 days of IRTH history through the modelBuild team, brand IT
Week 3-4Pilot on 8 stores in NorthRegional retail head
Week 5-8Widen to the full region, publish the weekly reason and outcome reportDesk lead, brand owner
Week 9-12Estate rollout with the stop rule and consent ledger enforcedBrand owner, method review

Guardrails

  • No price, discount or making-charge negotiation on the call; the agent states published terms only.
  • Consent captured and logged in the first 15 seconds, with an immediate opt-out honoured across every channel.
  • A single stop rule across the estate: the same IRTH customer is never worked twice for the same reason.
  • Scored at desk, region and issue level, never against a named advisor.
  • Recordings retained for the agreed window, then deleted; transcripts hold no card or ID data.

Impact 67/100 against 62/100 build effort. Horizon Next, current stage Concept, payback 11 weeks. Re-scored at the month six review.

AI product 03 of 5 · IRTH · Now, Pilot

Enquiry-to-appointment agent

Every enquiry that reaches IRTH gets a call back inside the hour, in the language the customer wrote in, and ends with a slot held in a named store's book.

₹2.6 Cr
Value on the appointment book
78/100
Business impact score
44/100
Build effort score
6 weeks
Payback on the pilot
The bottleneck

What is broken today

Enquiries reach IRTH faster than the floor can call them back. The ones called on day three convert at a fraction of the ones called inside the hour.

The build

What gets built

A voice agent that calls every new enquiry within the hour in the caller's language, qualifies category and budget band without quoting a price, and writes a held slot into the advisor calendar at 60+ locations.

How it works, end to end

StepStageWhat happens on this brand
01Enquiry landsWeb form, WhatsApp, walk-in register or campaign response arrives with source and Work totes interest attached.
02Scored and queuedIntent scored on source, category and response speed; Work totes and Sling and crossbody enquiries in a live campaign window jump the queue.
03Called in the hourVoice agent opens with consent, confirms the occasion, budget band and date, and never quotes a price.
04Slot heldNearest of the 60+ locations checked for advisor availability and a slot held before the call ends.
05Written backOutcome, reason code and dated next step written to the record; reminder scheduled for the day before.

The value, on IRTH numbers

MeasureFigureHow it is arrived at
Enquiries a month96,000Modelled on the network, editable on the value model console
Reached inside the hour49,92052% contact rate at the pilot desk
Appointments that convert7,98716% of contacted, matched to store billing
Value on the appointment book₹2.6 CrAt the ₹3,200 IRTH average ticket
Advisor hours returned a month5,990Callback dialling and note taking removed from the floor

Moves: Enquiry to appointment rate. Every figure above is computed from the inputs on the value model console, so changing an input changes this table.

Quick demo: an enquiry called back in the hour

Quick demo

A Work totes enquiry arrives from a North pincode at 11:04 with no budget stated.

Input the product readsValue
SourceWebsite enquiry form
InterestWork totes, ₹2,600 – ₹6,500
RegionNorth
Language detectedHindi with English product words
AgentNamaste, IRTH se baat kar rahe hain. Aapne aaj Work totes ke liye enquiry ki thi. Do minute baat kar sakte hain?
CustomerHaan, boliye.
AgentYeh kis occasion ke liye dekh rahe hain, aur date kya soch rahe hain?
CustomerBehen ki shaadi hai, agle mahine ki 14.
AgentSamajh gaya. Work totes mein ₹2,600 – ₹6,500 range hai, aur Sling and crossbody bhi dekh sakte hain. Store par pieces nikalwa kar rakhta hoon.
CustomerDiscount kitna milega?
AgentRate aur terms store par published hain, main uspar comment nahi karta. Advisor aapko poori terms dikhayenge.
AgentNorth store mein kal shaam 6 baje advisor free hain. Slot hold kar doon?
CustomerHaan kar dijiye.
What the product wrote back
ResultValue
Time to first call41 minutes from enquiry
Reason code writtenWedding purchase, Work totes
Budget band captured₹2,600 – ₹6,500
Next stepAppointment held, North store, tomorrow 18:00
Guardrail heldNo price or discount discussed

The demo shows the live agent script and the record it writes. Place a real call from the Aiera Live desk to hear it.

Who uses it, and why it holds

Users

Inside IRTH

Retail and stores team, store managers, advisors

Moat

Why it is defensible

Trained on IRTH range language and objection handling, with the price guardrail written into the policy layer.

Voice LLM with tool callingHinglish ASR and TTSCalendar hold APICRM write-backAiera ConverseAiera Engage

Systems it needs

IntegrationWhat moves acrossState
CRM / lead storeEnquiry in, outcome and reason code outLive
Store calendarSlot held before the call endsIn build
WhatsApp BusinessConfirmation and reminder on the same threadLive

Rollout on this brand

WindowMilestoneOwner
Week 1-2Connect the source systems and replay 30 days of IRTH history through the modelBuild team, brand IT
Week 3-4Pilot on 8 stores in NorthRegional retail head
Week 5-8Widen to the full region, publish the weekly reason and outcome reportDesk lead, brand owner
Week 9-12Estate rollout with the stop rule and consent ledger enforcedBrand owner, method review

Guardrails

  • No price, discount or making-charge negotiation on the call; the agent states published terms only.
  • Consent captured and logged in the first 15 seconds, with an immediate opt-out honoured across every channel.
  • A single stop rule across the estate: the same IRTH customer is never worked twice for the same reason.
  • Scored at desk, region and issue level, never against a named advisor.
  • Recordings retained for the agreed window, then deleted; transcripts hold no card or ID data.

Impact 78/100 against 44/100 build effort. Horizon Now, current stage Pilot, payback 6 weeks. Re-scored at the month six review.

AI product 04 of 5 · IRTH · Now, Pilot

Dormancy and reactivation engine

2,40,000 identities in the IRTH book have gone quiet. This engine ranks them daily and hands each store a dated call list with a reason on every name.

₹48
Cost per reactivated customer
81/100
Business impact score
42/100
Build effort score
8 weeks
Payback on the pilot
The bottleneck

What is broken today

2,40,000 identities in the IRTH book have gone quiet, and the estate has no ranked reason to call any one of them today.

The build

What gets built

A scoring engine that reads recency, category, ticket and last conversation, then publishes a dated call list per store with a five step ladder and a hard stop rule, across 4 segments.

How it works, end to end

StepStageWhat happens on this brand
01Book read nightlyRecency, category, ticket band, 2 loyalty tiers and last conversation read across the whole IRTH book.
02Scored to a reasonEvery quiet identity gets one reason: One bag bought, 10 months quiet, Cart abandoned or Gifting buyer, occasion due.
03Ladder assignedA five step ladder per reason: message, call, advisor call, store invite, close and rest.
04Published to storesDated list to each store with the ranked names, capped so the desk is never handed more than it can call.
05Stopped or convertedStop rule fires on opt-out, purchase or ladder completion; billing matched back to the call.

The value, on IRTH numbers

MeasureFigureHow it is arrived at
Quiet identities in scope2,40,000Across 4 scored segments
Reactivated a month11,2804.7% of the worked list, held at the pilot rate
Value reactivated₹3.6 CrAt the ₹3,200 average ticket
Cost per reactivated customer₹48Voice desk cost per contact, one quarter of the book worked
Contacts avoided by the stop rule43,200Duplicate work removed across call, message and store

Moves: Reactivated customers per month. Every figure above is computed from the inputs on the value model console, so changing an input changes this table.

Quick demo: today's reactivation list for one store

Quick demo

The North store opens its list at 10:00. Names are masked; the reason and the ladder step are not.

Input the product readsValue
StoreNorth, 20
List size today24 names, capped to desk capacity
Top segmentOne bag bought, 10 months quiet
Ladder stepStep 2, first advisor call
EngineR•••• S — last purchase 19 months ago, Work totes, IRTH Insider tier. Reason: One bag bought, 10 months quiet. Score 92.
EngineRecommended open: New collection call
AdvisorNamaste, IRTH North se. Aapne humare saath Work totes liya tha. Ek new arrival aayi hai jo aapki pehli purchase ke saath jaati hai.
CustomerAbhi plan nahi hai, teen mahine baad dekhungi.
AdvisorBilkul, main aapko teen mahine baad hi call karunga. Tab tak koi message nahi bhejenge.
EngineOutcome: deferred, 90 day rest applied. Every other channel muted for this reason.
What the product wrote back
ResultValue
Names worked24 of 24, no sampling
Converted to appointment3
Deferred with a dated recall7
Rested by the stop rule2
Value on the 3 appointments₹9,600

Reactivation runs on the brand's own book. Identities are masked on this console; the live desk sees the record it is allowed to see.

Who uses it, and why it holds

Users

Inside IRTH

Customer and loyalty team, regional heads

Moat

Why it is defensible

The stop rule and consent ledger mean the same customer is never worked twice for the same reason across channels.

Gradient-boosted propensity modelSegment rules engineContact-policy ledgerAiera SenseAiera PredictAiera Engage

Systems it needs

IntegrationWhat moves acrossState
Customer book2 tiers and transaction history scored nightlyIn build
Call deskRanked list pushed to the dialler each morningLive
AttributionStore billing matched back to the callPlanned

Rollout on this brand

WindowMilestoneOwner
Week 1-2Connect the source systems and replay 30 days of IRTH history through the modelBuild team, brand IT
Week 3-4Pilot on 8 stores in NorthRegional retail head
Week 5-8Widen to the full region, publish the weekly reason and outcome reportDesk lead, brand owner
Week 9-12Estate rollout with the stop rule and consent ledger enforcedBrand owner, method review

Guardrails

  • No price, discount or making-charge negotiation on the call; the agent states published terms only.
  • Consent captured and logged in the first 15 seconds, with an immediate opt-out honoured across every channel.
  • A single stop rule across the estate: the same IRTH customer is never worked twice for the same reason.
  • Scored at desk, region and issue level, never against a named advisor.
  • Recordings retained for the agreed window, then deleted; transcripts hold no card or ID data.

Impact 81/100 against 42/100 build effort. Horizon Now, current stage Pilot, payback 8 weeks. Re-scored at the month six review.

AI product 05 of 5 · IRTH · Now, Prototype

Conversation intelligence for the estate

Every IRTH call and chat is transcribed, coded to a reason taxonomy and rolled up to region, store and category, so the rising objection is on the leadership pack the week it rises.

1,498
Enquiries saved by script fixes
78/100
Business impact score
36/100
Build effort score
10 weeks
Payback on the pilot
The bottleneck

What is broken today

Nobody at IRTH can answer what customers actually asked for last week without listening to calls one by one.

The build

What gets built

Every call and chat transcribed, coded to a reason taxonomy, and rolled up to region, store and category, with the top rising objection surfaced weekly at issue level only.

How it works, end to end

StepStageWhat happens on this brand
01CapturedTelephony recordings and chat threads ingested with store, region and Work totes category metadata.
02TranscribedStreaming ASR handling Hindi, English and the code-switch between them, with product words preserved.
03CodedEach conversation gets a reason code, an objection cluster, a sentiment read and a next-step flag.
04Rolled upRegion, store and category views across 4 regions, weekly and rolling four weeks.
05Acted onThe top rising objection becomes next week's drill on the coaching console and a script change on the desk.

The value, on IRTH numbers

MeasureFigureHow it is arrived at
Conversations coded a month58,720100% coverage, replacing manual sampling
Manual review hours removed2,936At 3 minutes of quality listening per sampled call
Rising objections surfaced weeklyTop 5Ranked by week-on-week movement, at issue level
Enquiries saved by script fixes1,498Objection answered before it becomes a lost enquiry
Value of those saves₹7.7 LAt the brand conversion rate and average ticket

Moves: Objections resolved before escalation. Every figure above is computed from the inputs on the value model console, so changing an input changes this table.

Quick demo: last week's rising objection

Quick demo

8,800 service and enquiry conversations coded across 4 regions.

Input the product readsValue
WindowRolling week against prior week
Coverage100% of calls and chats
Top categoryWork totes
Top region by volumeNorth
EngineRising objection: "Work totes availability at the nearest store" — up 34% week on week, concentrated in North.
EngineSecond: turnaround clarity on Zip and hardware repair (7 days) — customers calling twice for the same status.
EngineThird: Sling and crossbody price band confusion after the Work edit launch window opened.
ActionStock and availability console now answers the first before the advisor speaks; Zip and hardware repair status calls automated.
ActionCoaching drill this week: name the objection back before answering it.
What the product wrote back
ResultValue
Conversations coded58,720
Reason codes in the taxonomy28, written with the brand
Objections cleared before escalation61%
Script changes shipped3

Rollups are read at issue level only. No advisor is named or ranked in any view on this console.

Who uses it, and why it holds

Users

Inside IRTH

Marketing and campaigns team, category heads, quality

Moat

Why it is defensible

A reason taxonomy built for this vertical, scored at issue level and never at individual advisor level.

Streaming ASRReason-code classifierObjection clusteringWeekly rollup warehouseAiera SenseAiera Context

Systems it needs

IntegrationWhat moves acrossState
TelephonyRecording and metadata ingested per callLive
Quality rubricSame rubric applied to every conversationIn build
BIWeekly reason report to the leadership packPlanned

Rollout on this brand

WindowMilestoneOwner
Week 1-2Connect the source systems and replay 30 days of IRTH history through the modelBuild team, brand IT
Week 3-4Pilot on 8 stores in NorthRegional retail head
Week 5-8Widen to the full region, publish the weekly reason and outcome reportDesk lead, brand owner
Week 9-12Estate rollout with the stop rule and consent ledger enforcedBrand owner, method review

Guardrails

  • No price, discount or making-charge negotiation on the call; the agent states published terms only.
  • Consent captured and logged in the first 15 seconds, with an immediate opt-out honoured across every channel.
  • A single stop rule across the estate: the same IRTH customer is never worked twice for the same reason.
  • Scored at desk, region and issue level, never against a named advisor.
  • Recordings retained for the agreed window, then deleted; transcripts hold no card or ID data.

Impact 78/100 against 36/100 build effort. Horizon Now, current stage Prototype, payback 10 weeks. Re-scored at the month six review.

Store network

60+ IRTH stores and shop-in-shops, read region by region, with demand and staffing pressure next to each other.

RegionPoints of saleShare of networkDesk load
North2033%2,640 enquiries a month
West1728%2,240 enquiries a month
South1525%2,000 enquiries a month
East814%1,120 enquiries a month

Store level signals the desk acts on

  • Enquiry volume above what the store roster can answer, two weeks running.
  • Appointments booked but not honoured, by store and by advisor.
  • Requests for stock the store does not hold, so transfer replaces a lost sale.

Stock and availability

The desk stops promising blind. Before an appointment is offered, the enquiry is matched against what the store actually holds.

CategoryHeld at the enquiry storeAvailable in the regionDesk action
Work totes66% of the plan81% of the planBook at this store
Sling and crossbody55% of the plan68% of the planOffer transfer or another store
Wallets and small leather83% of the plan94% of the planBook at this store
Occasion clutches72% of the plan81% of the planBook at this store

What happens when the piece is not there

  • The desk names a second store in the same city before it names a date.
  • A transfer is raised with a dated arrival, and the customer is called when it lands.
  • A repeated gap in the same category at the same store is written into the store audit.

Availability percentages are modelled against the category plan. They are replaced by the live stock feed at go live.

Store audit

Display, stock and process compliance scored on the same rubric everywhere, with a dated action against every gap.

RegionStores auditedAverage scoreOpen actionsOldest open
North10 of 2092 / 100119 days
West9 of 1790 / 10016 days
South8 of 1588 / 100211 days
East4 of 886 / 100116 days

Rubric

DimensionWeightChecked by
Window and display compliance25%Photo audit, scored
Stock availability against the plan25%Stock read
Advisor process and greeting20%Mystery call
Appointment and follow up discipline20%Desk record
Housekeeping and safety10%Checklist

One audit cycle covers 50% of the points of sale in a quarter, so every point is seen twice a year or better. Scores, actions and ageing are modelled on audit cycles of comparable networks.

Conversation intelligence

Every conversation is transcribed, coded and counted, so the brand learns what customers are actually asking, not what the desk remembers.

What the conversation was aboutShareWhat the desk does with it
Variant availability and price30%Stock read, band stated
Note and recommendation questions25%Consultation booked, samples sent
Gifting and packing20%Order raised with a date
Replenishment and refills14%Order or store visit
Authenticity and returns11%Escalated with the invoice checked

What comes out of it every week

OutputGoes toCadence
Top ten reasons customers calledHead of retailWeekly
Requests for stock the store did not holdHead of retailWeekly
Questions the script answered badlyHead of marketingWeekly
Objections before a lost enquiryHead of customerFortnightly
Store level process gaps heard on callsHead of serviceMonthly, into the audit

Coding is at issue level. No individual customer and no individual advisor is profiled or ranked.

Call analysis

Every IRTH conversation is transcribed, coded and scored: what the caller wanted, what stopped them, what was promised and what happened next. This is the record the desk, the campaign team and the store network all argue from.

58,720
Calls analysed a month
38%
Positive sentiment on close
82 / 100
Average quality score
5.1m
Average call length

A day off the desk, identities masked

CallCaller regionWhat it was aboutLanguageLengthSentimentScoreOutcome
C-5247Bengaluru · NorthVariant availability and priceEnglish3m 07sNeutral85Not now
C-5284Mumbai · WestSling and crossbody enquiryHinglish5m 18sPositive90Message sent
C-5321Delhi · SouthGifting and packingHindi7m 29sNegative70Callback set
C-5358Hyderabad · EastOccasion clutches enquiryTamil3m 40sNeutral81Appointment booked
C-5395Chennai · NorthAuthenticity and returnsTelugu5m 51sPositive86Message sent
C-5432Pune · WestSling and crossbody enquiryKannada7m 02sNegative64Callback set
C-5469Kolkata · SouthNote and recommendation questionsMarathi3m 13sNeutral96Appointment booked
C-5506Ahmedabad · EastOccasion clutches enquiryBengali5m 24sPositive82Closed

What stopped the call, and what the desk did next

Objection heardHow oftenWhat the desk says nowNext step written
Price against a competitor quote8% of callsNamed back, answered from the record, then a dated visit offeredWhatsApp with the range sent, callback in 48 hours
Wants a discount the desk cannot give9% of callsAnswered from the published work totes range, never with a discountAppointment held, reminder call scheduled
Not ready, date not fixed10% of callsNamed back, answered from the record, then a dated visit offeredWhatsApp with the range sent, callback in 48 hours
Store is too far11% of callsAnswered from the published work totes range, never with a discountAppointment held, reminder call scheduled
Waiting for the rate to move12% of callsNamed back, answered from the record, then a dated visit offeredWhatsApp with the range sent, callback in 48 hours
Wants to see the piece first13% of callsAnswered from the published work totes range, never with a discountAppointment held, reminder call scheduled

What the transcript is mined for

Field pulled from the callHow it is usedGoes to
Reason code and category asked forFeeds the enquiry desk and the stock viewHead of retail
Budget band the caller statedSets the range the advisor preparesHead of retail
Occasion and dateSets the ladder and the reminder callHead of customer
Objection and competitor namedFeeds the drill and the campaign messageHead of marketing
Promise made on the callChecked against the job or appointment recordHead of service
Consent and language preferenceWritten to the record for every future contactHead of finance

Transcript volumes and scores are modelled on the current script until the brand's own telephony is connected. Caller identity is masked in every screen and every export.

Caller coaching

Every call the IRTH desk makes is scored on the same six behaviours, and the lowest scoring behaviour becomes next week's drill. Coaching is written at desk, region and issue level, never against a named individual.

58,720
Calls in scope for coaching a month
72 / 100
Desk coaching score, rolling four weeks
100%
Calls reviewed, no sampling
6
Drills shipped to the floor last month

The six behaviours, and where the desk stands

BehaviourAdherenceWhat a pass sounds like
Opening and consent88%Brand named, purpose stated, consent captured in the first 15 seconds
Discovery depth63%Occasion, budget band and date asked before anything is recommended
Objection handling59%Objection named back, answered from the record, not from opinion
Proof used61%Certification, warranty or exchange terms quoted from the published range
Next step booked80%A dated next step with a named store or advisor
Write back80%Reason code and outcome on the record before the call ends

Lowest adherence right now is objection handling at 59%. That is the drill below.

Region scorecards

RegionStoresCalls a monthCoaching scoreCoach on
North2019,37891 / 100Opening and consent
West1716,44284 / 100Proof used
South1514,68077 / 100Objection handling
East88,22190 / 100Discovery depth

This week's drills, written from lost conversations

DrillBuilt fromWhat changes on the callOwner
Objection handling drill57 calls where the enquiry was lost after this stepObjection named back, answered from the record, not from opinionHead of retail
Work totes objection drillObjections heard before a lost work totes enquiryObjection is named back and answered from the published range, then a visit is offeredHead of customer
Replenishment book drillCalls where the balance or benefit was stated wronglyThe balance is read from the record and the visit is booked in the same callHead of optometry
Service promise drillZip and hardware repair calls where a date was promised before the centre confirmed itNo completion date is stated until the job record carries oneHead of service

How a drill reaches the floor

  • Monday: the week's calls are scored and the lowest behaviour is picked by number, not by opinion.
  • Tuesday: three good calls and three weak calls on that behaviour are clipped, with identities masked.
  • Wednesday: the script line is rewritten and pushed to both the human desk and the voice agent.
  • Friday: the same behaviour is re-scored and the movement is reported to Head of retail.

Scores are modelled on the current script and comparable Indian voice desks until the brand's own recordings are connected. No individual advisor is ranked, scored or named in any output.

Quality record

Every conversation is scored on the same five dimensions, at issue and store level, so quality is a number the brand can argue with.

DimensionWeightWhat a pass looks like
Identification and consent20%Brand named, purpose stated, consent captured
Accuracy of what was said25%No price, discount or warranty claim outside the record
Language and courtesy15%Caller's language matched, no talking over
Next step captured25%A dated next step with a named owner
Write back15%Reason code and outcome on the record
94 / 100
Current rubric score
100%
Conversations scored, not a sample
6
Script fixes shipped last month

Market sense · web intelligence

Six buckets, read off the open web for IRTH: competitor moves, category demand, the brand's own online reputation, the price and offer message in market, retail expansion, and the social conversation. Each bucket opens with the analysis — how the brand is actually doing on that front and what to do next — and the sources it was written from sit underneath it as the evidence.

60+
IRTH stores and shop-in-shops
₹150 Cr+
Accessories scale
5
Named competitors tracked
60
Sources across six buckets

Who is tracked against IRTH

BaggitHidesignLavieCapreseDa Milano

Category read as: women's handbags and accessories India. Reputation read from amazon.in, myntra.com, trustpilot.com and open consumer forums.

The read

IRTH is accelerating prime offline retail expansion toward 100 stores while facing heavy competitor discounting in core sub-₹2,500 tiers.

IRTH is maintaining strong physical retail momentum backed by Titan, opening key metro stores in Mumbai, Chennai, and Noida toward its 100-store FY27 target. The category environment is favorable, with the Indian handbag market projected to expand at an 8.8% CAGR, led heavily by tote silhouettes. However, mid-tier competitors like Accessorize and ALDO are applying pricing pressure via deep promotional discounting, while Baggit pushes international expansion. IRTH's primary action must be fortifying tote inventory and capturing direct digital feedback to defend margins without relying on price erosion.

Written off 60 sources for IRTH. Every claim is backed by the linked sources under each bucket.

Bucket 01

Competitor moves

What have the named competitors done in the last weeks that the desk should know?

Competitors are launching cross-border expansions and seasonal collections

Baggit is expanding its retail presence into Sri Lanka and teasing new product drops, while Hidesign is actively promoting handcrafted leather collections like the Rue Soleil through video reviews. Lavie and other domestic peers continue targeted mall activations and smart-casual promotions to defend market share. These moves show competitors targeting both regional expansion and higher perceived craftsmanship.

  • Baggit announced an expansion into Sri Lanka alongside a planned product drop for August 1, 2026.
  • Hidesign is driving influencer and video showcases around its 2026 handcrafted leather lines, including the Rue Soleil bag.
  • Lavie is executing regional offline retail promotions, including mall displays at Rama Magneto Mall.

What to do next: Monitor the commercial traction of Baggit's Sri Lanka foray to identify viable adjacent regional markets.

Low 8Medium 2instagram.com · 3youtube.com · 2quora.com · 1hidesign.com · 1retail4growth.com · 1bbc.com · 1

Evidence behind the read

ReadSourceSeverity
Something exciting is on the horizon… Get ready to meet Baggit's ...
Launching on 1st August 2026. Stay connected—the countdown has begun! #bags #bagstore #bagstyle #bagsale #bagshop #bagstyle #bagslovers ...
instagram.comMedium
What is your opinion or review of handbags from the brand Baggit?
It is considered to be a “smart casuals” brand. They are a premium clothing and accessories brand within the Indian market. I recently bought an ...
quora.comMedium
Style that speaks, bags that shine! Explore the latest Lavie collection ...
16 likes, 0 comments - ramamagnetomall_ on February 24, 2026: " Style that speaks, bags that shine! Explore the latest Lavie ...
instagram.comLow
19 NEW Designer Bags For 2026 That Are - YouTube
WATCH THIS BEFORE buying a new designer bag, here are 19 NEW designer bags that have just been released or are coming very soon, ...
youtube.comLow
Hidesign - Elegantly Handcrafted Leather Accessories Online
Discover handcrafted leather bags, wallets and accessories for men & women online. This is The Official Hidesign Website. 2026© HIDESIGN
hidesign.comLow
60 seconds to show you why the newly launched @hidesignhq at ...
If you're looking for a premium leather handbag that too stylish practical, Hidesign is definitely worth checking out. ... I FINALLY GOT MY HANDS ...
instagram.comLow
Baggit to launch in Sri Lanka soon - Retail4growth
Baggit brand is all set to expand its foothold in the lifestyle markets of Sri Lanka. The company will enter the market with a grand opening ...
retail4growth.comLow
️ Best HIDESIGN Leather Bags for Women 2026 - YouTube
10 Stunning Hidesign Bags You Need to See Before Buying | Don't Buy Hidesign Bag Until You Watch 1️⃣ BAG NO 1 - Rue Soleil by Hidesign ...
youtube.comLow
Baggit: The handbag firm begun 'by mistake' - BBC News
Baggit is one of India's most well-known handbag brands. Founder Nina Lekhi explains how it was created "by mistake".
bbc.comLow
India Handbags Market Analysis, Size, and Forecast 2026-2030
India Handbags Market size is expected to grow by USD 2207.4 million from 2026-2030 expanding at a CAGR of 8.8% during the forecast period.
technavio.comLow
Bucket 02

Industry and category demand

Which way is the category itself moving, in volume and in value?

The Indian handbag market is expanding steadily at an 8.8% CAGR

Category demand remains robust, with the Indian handbag sector projected to expand by USD 2,207.4 million between 2026 and 2030. Tote bags remain the dominant silhouette globally and domestically, capturing over 41% of handbag product share. Growth is heavily supported by rising disposable incomes and demand for functional, everyday lifestyle accessories across Asia Pacific.

  • The Indian handbag market is forecast to grow by USD 2,207.4 million from 2026 to 2030 at an 8.8% CAGR.
  • Tote bags accounted for 41.21% of the global handbags market share in 2025.
  • The broader Asia Pacific region captured a dominant 38.5% global revenue share in 2025.

What to do next: Ensure tote silhouettes receive prioritized supply chain allocation to capture the largest share of category volume.

Low 8Medium 2grandviewresearch.com · 1mordorintelligence.com · 1fortunebusinessinsights.com · 1technavio.com · 1persistencemarketresearch.com · 1futuremarketinsights.com · 1

Evidence behind the read

ReadSourceSeverity
Handbag Market Size, Share & Trends Report, 2026-2033
# Handbag Market (2026 - 2033) $86.9B Market Estimate, 2026 $92.3B $146.0B CAGR, 2026–2033 6.8% ## **Handbag Market Summary** The market in Asia Pacific dominated with a revenue share of 38.5% in 2025. The market is driven by the growing fashion awareness and rising disposable income. ### Market Size & Forecast
grandviewresearch.comMedium
Handbags Market Size, Share & Growth Outlook, 2031
# Handbags Market Size & Share Analysis - Growth Trends and Forecast (2026 - 2031) ## Handbags Market Analysis by Mordor Intelligence - By product type, tote bags commanded 41.21% of the handbags market share in 2025, while bucket bags are projected to grow at a 5.49% CAGR to 2031. - By category, the mass segment held
mordorintelligence.comMedium
Handbag Market Size, Share, Growth, Trends | Report, 2034
# Handbag Market Size, Share & Industry Analysis, By Product Type [Tote, Clutch, Satchel, and Others (Hobo, Body Cross, and Saddle)], By Raw Material (Leather and Fabric), and By End-User (Men and Women), and Regional Forecast, 2026-2034 ## Handbag Market Key Takeaways - The Tote segment is projected to lead the market
fortunebusinessinsights.comLow
India Handbags Market Analysis, Size, and Forecast 2026-2030
India Handbags Market size is expected to grow by USD 2207.4 million from 2026-2030 expanding at a CAGR of 8.8% during the forecast period.
technavio.comLow
Handbag Market Size, Trends & Industry Statistics, 2033
# Handbag Market Size, Share, and Growth Forecast, 2026 - 2033 ## Companies Covered in Handbag Market ### What is the handbag market size in 2026? - ### What are the key trends in the handbag market? Key trends include rising demand for versatile and functional product designs, increasing penetration of digital and o
persistencemarketresearch.comLow
Explore the Global Luxury Handbag Market - Future Market Insights
# Luxury Handbag Market Luxury handbag sales will expand through 2036, with tote bags at a 33.8% share of the product segment in 2026. Leather leads the material segment with a 72.5% share. The market is expected to reach USD 28.9 billion by 2026-end and USD 52.81 billion by 2036 across regions. May 06, 2026 [Rahul P
futuremarketinsights.comLow
Understanding the Women's Bags & Handbags Market 2026-2033
: A Deep Dive The Womens Bags Handbags Market is experiencing significant growth, projected to achieve a CAGR of 9.7% from 2026 to 2033.
linkedin.comLow
Handbag Market Report 2026 - Research and Markets
The Handbag Market, valued at USD 71.17B in 2026, is projected to reach. It will grow from $67.18 billion in 2025 to $71.17 billion in 2026 at a compound ...
researchandmarkets.comLow
the right bag doesn't just complete a look, it changes the energy of it. In ...
[handbags, handbag trends, bag trends 2026, fashion trends 2026, designer handbags, it bags, fashion accessories, bag charms, slouchy bags ...
instagram.comLow
Top 10 Handbag Trends for 2026 You Need to Know - YouTube
... Bag https://rabeanco.sjv.io/rak64d Browse and shop my handbag trend edits here: 1: Fringe details https://liketk.it/5MivY https://liketk.it ...
youtube.comLow
Bucket 03

Brand online reputation

What are customers saying about the brand in public, and what is the recurring complaint?

Online consumer review visibility is clouded by unrelated brand homophones

Search visibility for IRTH on third-party consumer review sites is heavily diluted by unrelated businesses, such as software vendor Irth Solutions and domain urth.co. There is a lack of structured, verified customer reviews for IRTH handbags on open rating platforms. The brand desk currently lacks clear third-party sentiment feeds to isolate product quality complaints from search noise.

  • Public consumer review boards conflate IRTH handbag queries with ratings for urth.co and Irth Solutions.
  • No direct, verified customer review footprint exists for IRTH accessories on major open rating aggregators.
  • Marketplace platforms like Myntra house lifestyle catalog traffic without accessible aggregate sentiment reporting.

What to do next: Claim official consumer review profiles and deploy post-purchase review prompts to build clean brand sentiment data.

Medium 8Low 2trustpilot.com · 3myntra.com · 2amazon.in · 2uk.trustpilot.com · 1glassdoor.com · 1irthsupport.irthsolutions.com · 1

Evidence behind the read

ReadSourceSeverity
Read Customer Service Reviews of urth.co - Trustpilot
Rating 2.5(62)Poor TrustScore 2.5 out of 5 … reviews may not be representative Replied to 66% of negative reviews Typically replies within 1 week
trustpilot.comMedium
Massive Girth Gummies 2026 Updates Reviews - Trustpilot
Rating 3.4(2)Mar 23, 2026 · 2 people have already reviewed Massive Girth Gummies 2026 Updates. Read about their experiences and share your own!
trustpilot.comMedium
Rishikesh Yogkulam:Yoga Teacher Training School In Rishikesh Reviews
Rating 4.8(171)ishikesh has 5 stars! This company hasn't invited customers recently, so reviews may not be representative Replied to 100% of negative reviews Typically takes ...
trustpilot.comMedium
OakNorth Bank Reviews
Rating 4.8(21,027)This company invites their customers to review, whether positive or negative Replied to 98% of negative reviews Typically replies within 1 month
uk.trustpilot.comMedium
Myntra: Online Shopping for Women, Men, Kids Fashion & Lifestyle
[![](https://assets.myntassets.com/w_980,c_limit,fl_progressive,dpr_2.0/assets/images/2026/SEPTEMBER/1/52474f48de544b209fe7610086fe4099.jpg)](https://www.myntra.com/myntra?f=Quick%20Filters:Deal%20of%20the%20Day) [![](https://assets.myntassets.com/w_490,c_limit,fl_progressive,dpr_2.0/assets/images/2026/AUGUST/31/f10f1
myntra.comMedium
Unlawful Passage: The Rise of Magic Book 5 - Amazon.in
Rating 4.6(522)The Rise of Magic Customer Reviews 4.6 out of 5 stars. It has sass, magic and humor throughout the book.
amazon.inMedium
Buy RIDA HANDLOOM Carpet for Living Room 7x10 Feet ... - Amazon.in
Rating 4.2(613)Customer reviews 4.2 out of 5 stars4.2. Customers find the rug to be of top quality, with vibrant colors and a perfect size. not like the picture. No complain ...
amazon.inMedium
Working at Irth Solutions | Glassdoor
Rating 3.5(37)Irth Solutions has an employee rating of 3.5 out of 5 stars, based on 37 company reviews on Glassdoor which indicates that most employees have a good working ...
glassdoor.comMedium
T&C - Myntra
**Myntra EORS** [([www.myntra.com](http://www.myntra.com).)](https://www.myntra.com/) # Your 2023 Shopping Value Back - Get Coupons worth Rs. 12,000 During This EORS\ 45. This offer is being run on [Myntra.com](https://www.myntra.com/) , Myntra mobile app, and Myntra mobile site (collectively “Platform“), which
myntra.comLow
Contact Support Information - Irth Support
CALL 614-784-8000 x2 or EMAIL support@irthsolutions.com
irthsupport.irthsolutions.comLow
Bucket 04

Pricing and offers in market

What price and offer message is live in the market right now?

Rival brands and fashion retailers are discounting heavily below ₹2,500

The accessory market is experiencing intense promotional discounting, with brands like Accessorize London creating dedicated low-price brackets under ₹999, ₹1,599, and ₹2,499. ALDO and marketplace platforms like Nykaa Fashion are maintaining continuous markdowns across crossbodies and totes. This puts pressure on full-price realization for lifestyle brands attempting to sell above entry-level bands.

  • Accessorize India is actively promoting price-point tiers under ₹999, ₹1,599, and ₹2,499, cutting items from ₹6,795 to ₹2,446.
  • Social commerce channels are discounting tote bags down to ₹500 with 20% to 50% price cuts.
  • ALDO is running marked-down promotions across shoulder bags, crossbody bags, and totes.

What to do next: Defend price realization by emphasizing Titan quality assurances rather than engaging in margin-diluting discount battles.

Medium 8High 1Low 1instagram.com · 2irs.gov · 1sharecast.com · 1bitget.com · 1finance.yahoo.com · 1aldoshoes.in · 1

Evidence behind the read

ReadSourceSeverity
Questions and answers on the Premium Tax Credit - IRS
The Premium Tax Credit is a refundable tax credit designed to help eligible individuals and families with low or moderate income afford health insurance
irs.govHigh
Irth Capital Management said to have bid for Papa John's, shares surge
Irth offered to pay $47 per share for the business, which would value Papa John's at around $1.5bn. The offer price represents a premium of about 50%
sharecast.comMedium
Irth Capital secures $2B financing for Papa John's take-private bid - Bitget
Irth Capital Management has lined up a financing package consisting of $725 million. Irth's bid in May 2026. The $47 per share offer price is the number that ...
bitget.comMedium
Papa John's weighs Irth Capital's $1.5bn take-private bid – report
Irth has put forward an offer of $47 per share, implying a premium of approximately 44% over the most recent closing price of the company's ...
finance.yahoo.comMedium
Best Deals on Women handbags Sale | Aldo Shoes
Shop Women Handbags on sale at ALDO. Enjoy discounted prices on a wide range of styles, including Crossbody Bags, Totes, Shoulder Bags, and more. Price reduced ...
aldoshoes.inMedium
20 - 50% Discount on Premium Purse, Footwear & Perfumes ...
20 - 50% Discount on Premium Purse, Footwear & Perfumes ‼️ Summer special Offer ✓ ✓ Tote bag at just 500₹ only!!
instagram.comMedium
Handbags for Women: Buy Online - Accessorize London
15-day returnsShop trendy handbags for women online at Accessorize India. PRICE + 2499/- & under 1599/- & under 999/- & under SHOP BY OFFER ・ ₹ 2,446.00 ₹ 6,795.00 ・ get ...
accessorizelondon.inMedium
Buy Handbags for Women Online With Classy & Modern Designs in India
Buy handbags for women online at Nykaa Fashion. At times on Nykaa Fashion you get handbags at a good discounted price.
nykaafashion.comMedium
The Biggest Bag Sale of the Year is Here! Get ready to bag the best ...
ready to bag the best deals with up to 60% OFF on totes, slings, purses ... bags in indore, discounts, sale, offers on bags). 2 days ago ...
instagram.comMedium
Qatari-backed Irth Capital offers $47 a share to buy Papa John's, sources ...
Qatari-backed investment fund Irth Capital this month offered to pay $47 a share to buy Papa John's International, in a second ​attempt ...
reuters.comLow
Bucket 05

Retail network and expansion

Where is retail space being added, by the brand and around it?

Network rollout is scaling fast toward the 100-store milestone

IRTH is aggressively scaling its brick-and-mortar footprint with exclusive openings in Mumbai at Palladium Mall, Chennai, and Noida. The brand is executing on its plan to reach 100 stores by FY27 to help Titan's bag division target ₹1,000 Cr in revenue. Store formats are diversifying across large mall flagships and targeted 350 sq. ft. boutiques in high-traffic shopping centers.

  • IRTH opened exclusive brand stores in Mumbai at Palladium Mall and in Chennai.
  • The business opened in Noida with an active pipeline of 25 additional stores on the horizon.
  • Network expansion includes compact formats like a 350 sq. ft. store at Phoenix Mall to support the FY27 100-store goal.

What to do next: Track trading density and sales per square foot across compact 350 sq. ft. footprints before signing the next 25 leases.

Low 10facebook.com · 2titancompany.in · 1sf.gov · 1thesiliconreview.com · 1retail.economictimes.indiatimes.com · 1infashionbusiness.com · 1

Evidence behind the read

ReadSourceSeverity
IRTH, from the House of Titan Accelerates Retail Expansion with ...
IRTH, from the House of Titan Accelerates Retail Expansion with Noida Launch, 25 More Stores on Horizon The brand has ambitious plans to scale ...
facebook.comLow
IRTH House of Titan Launches Its First Store in Mumbai
IRTH debuts in Mumbai with its first exclusive store at Palladium Mall. Explore premium handbags designed for everyday mobility, crafted for modern women.
titancompany.inLow
Mayor Lurie Welcomes New Businesses To Downtown San ...
The city welcomes ZastaStudio to Market Street, Elaichi Co. to Yerba Buena, and Charmed in SF to Three Embarcadero Center. The openings come as ...
sf.govLow
Travel around the world with IRTH Bags from the House of Titan!
... City, with on-screen text ... This post celebrates the grand opening of the new flagship store for the international clothing brand Thule.
facebook.comLow
IRTH Makes Retail Debut with Mumbai Store, Eyes 100 Locations ...
Manish Gupta, CEO of the division, revealed that IRTH's initial phase will see ten new stores opening this year, including locations in Mumbai, ...
thesiliconreview.comLow
Titan's bag division eyes Rs 1000 cr revenue by FY 27 with expansion ...
Titan Company Ltd's IRTH opened its first exclusive brand store in Chennai, marking a strategic expansion into South India. Aiming to achieve Rs ...
retail.economictimes.indiatimes.comLow
IRTH Expands Retail Footprint With New Store Opening At Phoenix ...
The new store, located on the first floor outside Allen Solly Women, occupies a 350 sq. ft. carpet area and offers visitors a carefully curated range of ...
infashionbusiness.comLow
Titan's bags and accessories brand IRTH plans 100 stores by FY'27, to ...
The company plans to open 10 exclusive brand outlets this year. The rollout will include two stores in Mumbai, two in Pune, one in Delhi, ...
moneycontrol.comLow
India's women's handbags and accessories market, valued at over ...
Handbag and accessories brand MIRAGGIO is targeting a revenue of Rs 500 crore by FY30 as it plans to expand its offline presence across India.
instagram.comLow
India Handbags Market Analysis, Size, and Forecast 2026-2030
India Handbags Market size is expected to grow by USD 2207.4 million from 2026-2030 expanding at a CAGR of 8.8% during the forecast period.
technavio.comLow
Bucket 06

Digital and social conversation

What is the brand's conversation on social, creator and video platforms?

Campaign messaging centers on functional mobility using collaborative creator formats

IRTH's social presence is anchored by its 'Always A Little Ready' campaign, framing the handbag as a functional partner for spontaneous everyday use. The broader accessory segment relies heavily on Instagram collaboration reels and creator barter campaigns to drive discoverability. Leveraging joint collaborator posts will be critical for IRTH to widen top-of-funnel reach without inflating customer acquisition costs.

  • IRTH launched the 'Always A Little Ready' social campaign focusing on everyday readiness and functionality.
  • Accessory brands are heavily utilizing Instagram collaboration reels to pool follower reach between creators and labels.
  • Creator partnership calls and barter engagement remain the predominant growth tactic for Indian lifestyle accessories online.

What to do next: Measure store footfall and site visits directly attributed to the 'Always A Little Ready' creator activations.

Low 10instagram.com · 5facebook.com · 1youtube.com · 1threads.com · 1tiktok.com · 1afaqs.com · 1

Evidence behind the read

ReadSourceSeverity
If you're a brand looking for a creator who can bring real engagement ...
... collaboration, brand collab, paid partnership, UGC creator, content creator India, Instagram reels growth, brand deals, influencer marketing ...
instagram.comLow
Some bags carry essentials. Some carry backup plans, little joys, and ...
IRTH by House of Titan's new campaign, “Always A Little Ready,” turns the everyday handbag into something more personal for spontaneous plans, ...
facebook.comLow
Influencers/Content Creators need to know how to use this ... - Instagram
✨ COLLABORATION REELS ✨ (This of course depends on contracts) Collaboration reels are a great way for both a brand and influencer to mutually ...
instagram.comLow
Simply comment “collab” below If you love creating engaging content ...
Indian homegrown brands, Rakhi collaboration, Rakhi campaign, brand collaboration, creator collaboration ... 2️⃣ Share this reel in our DMs
instagram.comLow
How To Collaborate With Instagram Reels #shorts - YouTube
Learn how to collaborate and accept a collaboration on Instagram Reels. Thanks, @NavigatingYouTube for the help!
youtube.comLow
*CONFIRMATION FOR DOT & KEY SKINCARE INSTAGRAM BARTER ...
Share this with a creator who needs it! Dot & Key Brand Collaboration, Skincare Collaboration Form, Creator Collaboration, Beauty Brand ...
threads.comLow
How to use the collaboration feature on Instagram Reels ... - TikTok
If you start collaborating with people with your reels, your reel is gonna have way more reach. and then so is your profile. And if you play ...
tiktok.comLow
Today we're launching a new feature called Collabs which will allow ...
Collabs allow you to invite a collaborator to your Feed Post (including Video) and Reels so they can share the content with their followers.
instagram.comLow
AD - IRTH Bags with Mrs. Funnybones taps into women's everyday ...
Irth Bags unboxing, Irth Bags haul, Irth Bags handbag, affordable handbags, women's handbag collection ... Campaign India. Follow · twirlandtote's ...
instagram.comLow
Titan's IRTH launches 'Always a Little Ready' campaign - afaqs!
IRTH has launched a new campaign titled 'Always a Little Ready', centred on handbags as part of everyday routines and personal organisation.
afaqs.comLow

How each bucket is built

#BucketThe question it answersWhat it reads
01Competitor movesWhat have the named competitors done in the last weeks that the desk should know?Launches, store openings, campaigns, price led offers, funding and leadership news.
02Industry and category demandWhich way is the category itself moving, in volume and in value?Category growth, input costs, festive and season demand, regulation and duty.
03Brand online reputationWhat are customers saying about the brand in public, and what is the recurring complaint?Reviews, complaint boards, consumer forums, service and delivery grievances.
04Pricing and offers in marketWhat price and offer message is live in the market right now?Discount events, exchange schemes, making charge and bank offers, marketplace pricing.
05Retail network and expansionWhere is retail space being added, by the brand and around it?New stores, city entries, franchise news, mall and high street expansion.
06Digital and social conversationWhat is the brand's conversation on social, creator and video platforms?Creator collaborations, campaign reception, trending formats, share of voice.

Results are ranked by how sharply they read against the brand, so complaints and competitive moves surface first. Severity is a keyword read on the headline and summary, not a judgement.

Value model

Move any input. Everything recalculates. Every figure starts from the published IRTH network and is editable.

Inputs
Modelled outcome, a year
₹2.6 Cr
From enquiries answered and converted
₹3.6 Cr
From dormant customers brought back
₹44.4 L
Service handling cost avoided
₹6.6 Cr
Total modelled value, before any fee

Service saving is modelled at ₹42 of handling cost avoided per conversation the desk closes without a store call back.

Data readiness

What is connected on day one, what is modelled today, and what IRTH needs to hand over for the pilot to go live.

InputStatusNote
Store network and locationsPublished60+ IRTH stores and shop-in-shops
Category and price ladderPublishedFrom the brand range
Enquiry volume and source mixModelledFrom comparable networks of similar store count
Customer book and dormancyModelledReplaced in one session with the brand team
Service job volume and turnaroundModelledFrom service desk throughput benchmarks
Loyalty tier membershipModelledTier structure as published
Consent and contactability flagsNeededRequired before the first outbound call

What is needed to go live

  • A contactable customer extract with consent flags, in any format.
  • Store and advisor calendars, or a single sheet per region to start.
  • One session with the IRTH team to replace every modelled volume with the brand's own.

Required inputs

What the IRTH team hands over, in whatever format it already exists, for the pilot to run on the brand's own numbers.

InputOwnerFormat that is enoughNeeded by
Contactable customer extract with consent flagsHead of customerCSV or a database viewBefore the first outbound call
Enquiry feed from website, store and marketplaceHead of marketingWebhook or a daily fileWeek 1
Store and advisor calendarsHead of retailOne sheet per region to startWeek 1
Category and price ladder in forceHead of retailThe current range sheetWeek 1
Replenishment bookHead of optometryAccount level extractWeek 2
Service and job recordsHead of serviceExport from the service systemWeek 2
Telephony numbers and caller IDHead of retailNumbers plus provider accessBefore go live

Nothing here blocks the console. Every input replaces a modelled figure already on the screen.

Method and limits

How the pilot runs on IRTH, week by week, and what the system will not do.

WeekWhat happensWhat the brand sees
Week 1Data session, scripts drafted, numbers provisionedConsole on the brand's own figures
Week 2Both agents live on a small call listFirst conversations and quality scores
Weeks 3 to 6Ladders switched on segment by segmentWeekly reason codes and outcomes
Weeks 7 to 12Appointments, service and the trigger desk addedValue model against actuals
Month 6Review against the modelKeep, widen or stop, in writing

What this system will not do

  • It will not quote a price, a discount or a making charge outside the published range.
  • It will not claim a warranty outcome before the service centre has confirmed it.
  • It will not call a customer who has declined or opted out, for any reason.
  • It will not score, rank or profile an individual customer or an individual advisor.
  • It will not pretend to be human when asked directly.

Commercial terms

One flat retainer for the platform and the desk, usage billed as pass through at cost, and a review at month six.

ScopeWhat it coversCommercial
Pilot, one brandIRTH consoles, both voice agents, the desk and the quality recordFlat monthly retainer
Group scopeEvery Titan brand on the same platform and identity spineRetainer per brand, tapering
UsageTelephony, transcription and model usagePass through at cost, itemised
Carried free until month sixConsole build, script work, audit rubric and reportingNo charge

Governance

  • No individual customer is scored, profiled or ranked. Quality sits at store and issue level only.
  • Consent and do-not-call flags are respected on every attempt, with a stop rule per segment.
  • Every conversation is retained for a stated window and is available to the brand team in full.