A weave-led saree business where stock is one of a kind, so enquiry response speed and store level availability decide the sale.
75+
Taneira stores
35+
Cities and towns covered
₹250 Cr+
Emerging businesses
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
2,10,000 quiet identities across 5 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
Sarees are sourced from weaving clusters across India, many pieces unique.
Wedding and festive demand is highly seasonal.
Store level styling appointments convert far better than walk-ins.
Range and price ladder
Category
Price band
Share of mix
Bridal and wedding sarees
₹18,000 – ₹1.2 L
34%
Silk classics
₹9,000 – ₹45,000
28%
Everyday handloom
₹3,500 – ₹12,000
20%
Ready to wear and blouses
₹2,200 – ₹9,000
11%
Lehenga and festive sets
₹22,000 – ₹90,000
7%
Price bands follow published Taneira 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 Taneira 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.
#
Module
Engine
What it does
01
Inbound call desk
Voice
Every inbound call answered in the caller's language, coded by reason, with the outcome written back.
02
Outbound enquiry desk
Voice
Enquiries called back within the hour, with a dated next step on every record.
03
Aiera Live
Voice
The live call desk: pick an agent, place the call, watch the conversation and the quality record.
04
Appointment book
Platform
Advisor and store calendars, held slots and reminder calls before every appointment.
05
Lead scoring
Scanning
Intent read from enquiry source, category and response, so the desk calls the right record first.
06
Dormancy engine
Scanning
Continuous read of the Taneira customer book for records that have gone quiet.
07
Reactivation ladder
Voice
A five step contact ladder with a stop rule, so no customer is called twice for the same reason.
08
Loyalty desk
Platform
Tier movement, benefit reminders and the calls that keep a member from slipping a tier.
09
Campaign runner
Generation
Scripts and messages per campaign, published to the desk with the calendar attached.
10
Messaging desk
Messaging
WhatsApp and chat where a message clears the volume more cheaply than a call.
11
Service desk
Voice
Job intake, status calls and completion confirmation across 3 job types.
12
Warranty and claims
Platform
Claim intake, evidence capture and escalation with an audit trail on every claim.
13
Store network view
Platform
Store level demand, staffing pressure and conversion, region by region.
14
Store audit
Scanning
Display, stock and process compliance scored per store, with dated actions.
15
Stock and availability
Scanning
Enquiries matched to what a store actually holds, so the desk stops promising blind.
16
Quality record
Platform
Every conversation scored on the same rubric, at issue level, never at individual level.
17
Value model
Platform
Live calculator from the network figures, with every assumption on the screen.
18
Data readiness
Platform
What is connected, what is modelled and what is needed to go live.
19
Governance
Platform
Consent, retention windows, language policy and what the system will not do.
20
Marketing studio
Generation
Five campaign images and five reels generated for Taneira, with the beat sheet and channel on each.
21
AI product portfolio
Method
Five AI products scored on impact against effort, with the integrations each one needs.
22
Caller coaching
Platform
Six behaviours scored on every call, with next week's drill written from the lowest one.
23
Call analysis
Scanning
Every conversation transcribed, coded and scored, with the objection and the next step on the record.
24
Market sense
Scanning
Live web intelligence on Taneira in six buckets, read off the open web with every source linked.
25
Commercial terms
Method
Flat retainer, usage as pass through and the month six review.
Aiera Live · Taneira 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 Taneira agent on this console. Only Indian mobile numbers are accepted.
How a call is recorded
Field
Written by
Example
Reason code
Agent, from the conversation
Bridal and wedding sarees enquiry
Outcome
Agent, at close
Appointment booked
Next step and date
Agent, at close
Store advisor call in 2 days
Language used
Transcriber
English with Hindi switching
Quality score
Quality record, issue level
Rubric 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.
78,000
Enquiries a year, all sources
59%
Contact rate on the ladder
17%
Contacted to purchase
₹16,800
Average ticket on this brand
Live enquiry queue
Enquiry
Source
Category
Store
Age
Next step
A. Menon
Website
Bridal and wedding sarees
South
40 min
Appointment
R. Iyer
Store walk-in
Silk classics
North
2 h
Call now
S. Bhatia
WhatsApp
Everyday handloom
West
6 h
Appointment
N. Das
Marketplace
Ready to wear and blouses
East
1 day
Call now
K. Rao
Referral
Lehenga and festive sets
South
6 days
Appointment
Customer names are masked on this console. Source, category and ageing follow the live enquiry mix.
Funnel on current inputs
Stage
Volume a year
Rate
Enquiries received
78,000
100%
Reached on the ladder
46,020
59%
Converted to purchase
7,823
17% of reached
Revenue at average ticket
₹1.1 Cr a month
₹13 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.
1,726
Appointments a month at current contact rates
78%
Honoured after a reminder call
18 min
Average time from call to held slot
Appointment types held on this brand
Type
Length
Who it is with
Reminder
Trousseau consultation
120 minutes
Senior stylist
Call the day before, message two hours before
Weave discovery visit
60 minutes
Store stylist
Call the day before, message two hours before
Drape and blouse fitting
40 minutes
Tailor
Call the day before, message two hours before
Gifting appointment
30 minutes
Store advisor
Call 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 type
Standard turnaround
Volume
Desk action
Blouse stitching
10 days
18,400 / month
Status call at intake, midpoint and completion
Fall and pico
3 days
22,600 / month
Status call at intake, midpoint and completion
Alteration
5 days
9,800 / month
Status call at intake, midpoint and completion
50,800
Service conversations a month
77%
Handled without a store call back
1.8 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.
Reason
Channel
Why not a call
Appointment confirmation and reminder
WhatsApp
Nothing to discuss, only to confirm
Order, job or repair status update
WhatsApp
A date is easier read than heard
Lookbook and priced set
WhatsApp
The customer needs to see it
Store address, timing and directions
SMS or WhatsApp
Detail the caller will forget
Consent and opt out capture
WhatsApp
Written record required
5,200
Messages a month at current volumes
25%
Call volume moved to messaging
₹3.7 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
2,10,000 identities have gone quiet on this brand. The engine reads the customer book continuously and produces a dated call list per segment.
Segment
Size
Action on the ladder
Bridal enquiry, wedding within 90 days
14,600
Styling appointment call
Store visit, no purchase
38,000
Weave availability follow up
One purchase, festive season due
96,000
Occasion call
Blouse stitching pending pick up
8,900
Ready for collection call
Weave wishlist, out of stock
12,400
Restock alert
Segment builder
11,760
Customers back in a year
₹20 Cr
Value recovered at that rate
Segment sizes are modelled from the 75+ strong network and the published customer base. Every rate here is an editable input.
Occasion and wardrobe book
A Taneira customer buys for an occasion. The book is the occasion calendar in every record.
Cohort in the book
Size
What the desk does
Customers with a dated occasion
Modelled from enquiry capture
Stylist call six weeks before
Bought once, no repeat in 12 months
14,600
New weave arrival call
Trousseau enquiry, not closed
9% of enquiries
Appointment ladder, three steps
Gifting buyer, festival window
16% of the book
Occasion call two weeks before
How the desk behaves on it
The agent describes weave, region and care, never a discount.
Every saree held for a customer is released after the stated window and the customer is told.
Book sizes are modelled from the 75+ taneira stores 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.
Tier
Entry criteria
Members
Taneira Circle
First purchase
410,000
Circle Silk
₹75,000 in 12 months
36,000
What the desk does with it
Trigger
Call
Window
One purchase away from the next tier
Benefit and upgrade call
Within 7 days
Tier expiring in 60 days
Retention call with the benefit spelled out
Two attempts
Benefit unused for 6 months
Reminder call, no offer
One attempt
Birthday or anniversary in the record
Occasion call
Three 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.
Campaign
Window
Channel
Desk output
Wedding weaves
October to February
Appointment voice
Script, dated list, stop rule
Regional new year
March to April
Voice and messaging
Script, dated list, stop rule
Weaver stories
Rolling
Messaging
Script, dated list, stop rule
Category focus in the current window
Category
Price band
Share of calls
Bridal and wedding sarees
₹18,000 – ₹1.2 L
37%
Silk classics
₹9,000 – ₹45,000
29%
Everyday handloom
₹3,500 – ₹12,000
19%
Ready to wear and blouses
₹2,200 – ₹9,000
9%
Lehenga and festive sets
₹22,000 – ₹90,000
5%
Campaign names describe campaign types, not confirmed Taneira plans. Call shares are modelled on comparable windows.
Weave arrival and occasion trigger desk
New weave and cluster arrivals, plus the wedding and festival calendar per region.
Trigger
Who gets called
Window
New weave arrival
Buyers of the same weave family
Call inside the arrival week
Occasion inside 45 days
Records with a dated occasion
Stylist appointment call
Festival window opens
Last year's festival buyers
Call two weeks before
Hold window closing
Customers with a held piece
One confirmation call
Rules on the trigger
A new weave arrival opens a call window on customers who bought that weave family before.
An occasion date inside 45 days moves the record to a stylist appointment call.
A held piece nearing the end of its hold window triggers one confirmation call.
A trigger only ever opens a call window. It never sends an offer, a price or a discount on its own.
Concierge desk and private styling
Trousseau buying takes hours and several people. The desk books the room, the stylist and the pieces in advance.
Service
How it runs
Who it is for
Private styling suite
Selection pulled by weave and colour
Trousseau buyers
Trousseau planning session
Multi visit plan with a named stylist
Wedding buyers
Home selection visit
Curated trunk, metro locations
Verified customers
Drape and blouse fitting
Booked slot with the tailor
Every buyer
2.2×
Conversion against a walk in enquiry
19%
Share of high value enquiries routed here
72 h
Time from enquiry to a held session
Uplift and routing shares are modelled on comparable appointment led retail. They are inputs, not claims.
Weave lookbook and stylist brief
A short priced set by weave, region and occasion, sent before the visit with care instructions written in.
Set
What is in it
When it is sent
Bridal trousseau set
Six pieces matched by palette
Sent before the appointment
Weave discovery edit
One region, three price bands
Sent on WhatsApp
Gifting under a stated budget
Priced against the customer's number
Sent inside the hour
Everyday handloom set
Wash and wear weaves only
Sent on request
What a brief carries
Field
Written by
Example
Customer's stated budget
Agent, on the call
₹20,160
Occasion or reason
Agent, on the call
Wedding weaves
Category shortlist
Desk, from the range
Bridal and wedding sarees
Store and person
Desk, from the calendar
South flagship
Sent on
Messaging desk
WhatsApp, within the hour
Marketing studio · Taneira
Five campaign images and five reels built for Taneira 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 video
3
Live campaign windows to feed
Five campaign images
1200 × 750 · feed
Sarees and Indian wear, woven across India
Taneira
Hero product still — handwoven Banarasi silk saree draped on a wooden stand
Single subject, no clutter. Used as the anchor frame for the a wedding trousseau push and cut down for stories.
Product heroSaree buyers, 28 to 55Instagram feed · Meta paid
Book a store visit
1200 × 750 · feed
Made for a wedding trousseau.
Taneira
A wedding trousseau campaign frame
Human moment around the product, shot to run through the a wedding trousseau calendar in every region.
OccasionSaree buyers, 28 to 55Meta + YouTube masthead
See the collection
1200 × 750 · feed
75+ taneira stores
Taneira
Store and service frame
Retail proof for local campaigns: the room, the advisor and the process a customer walks into.
Retail experienceSaree buyers, 28 to 55Google Performance Max · local
Find your nearest store
1200 × 750 · feed
Handloom weaves sourced from weaver clusters
Taneira
Craft and proof frame
Macro proof frame used wherever the claim needs evidence: process, tolerance, certification, hand work.
Craft proofSaree buyers, 28 to 55Brand film stills · PR
Read how it is made
1200 × 750 · feed
5 ranges, one ladder
Taneira
Range and price ladder frame
Flat lay of the ladder from lehenga and festive sets to bridal and wedding sarees, used in CRM and catalogue.
RangeSaree buyers, 28 to 55Catalogue · CRM email
Browse the range
Five reels
Each reel ships as a generated 9:16 film with the beat sheet it was cut to.
720 × 1280 · 9:160:08
Sarees and Indian wear, woven across India
Taneira
Three second hook reel
Opens on a handwoven Banarasi silk saree draped on a wooden stand in motion, holds one line, ends on the store CTA.
0-2s Macro push in on a handwoven Banarasi silk saree draped on a wooden stand
2-5s Pull back to reveal a Taneira store with terracotta walls and woven textures
5-8s Hold on the product, CTA card
Product heroSaree buyers, 28 to 55Instagram Reels · Shorts
Book a visit
720 × 1280 · 9:160:10
The a wedding trousseau film.
Taneira
A wedding trousseau story reel
One customer moment, saree buyers, 28 to 55, shot handheld and cut tight.
0-3s The moment before: a wedding trousseau preparation
3-7s The product enters the frame
7-10s Reaction, then the brand card
OccasionSaree buyers, 28 to 55Reels · WhatsApp status
See the collection
720 × 1280 · 9:160:10
Handloom weaves sourced from weaver clusters
Taneira
How it works reel
Screen recorded and shot steps of the actual process, used to answer the top objection.
0-3s The question a customer asks
3-7s The process on camera: handloom weaves sourced from weaver clusters
7-10s What the customer walks away with
ExplainerSaree buyers, 28 to 55Shorts · store screens
Talk to an advisor
720 × 1280 · 9:160:08
Walk into Taneira.
Taneira
Store walkthrough reel
Single take walk through the store, cut to the retail and stores script.
0-2s Door opens, camera walks in
2-6s Advisor presents a handwoven Banarasi silk saree draped on a wooden stand
6-8s Appointment card, store name
Retail experienceSaree buyers, 28 to 55Local Reels · Maps
Find your store
720 × 1280 · 9:160:10
Why saree buyers choose us.
Taneira
Customer voice reel
Creator style piece to camera, no studio polish, subtitled for sound off viewing.
0-3s Piece to camera, one honest line
3-7s Cut to a handwoven Banarasi silk saree draped on a wooden stand in real use
7-10s Recommendation, brand card
Social proofSaree buyers, 28 to 55Reels · influencer whitelisting
Book a call back
Campaign windows these creatives feed
Campaign
Window
Channel
Creative used
Wedding weaves
October to February
Appointment voice
Hero product still — handwoven Banarasi silk saree draped on a wooden stand + Three second hook reel
Regional new year
March to April
Voice and messaging
A wedding trousseau campaign frame + A wedding trousseau story reel
Weaver stories
Rolling
Messaging
Store and service frame + How it works reel
Creative concepts are written from published Taneira range and occasion language. Visuals are generated for this console and are not shot campaign assets.
AI product portfolio · Taneira
Five AI products designed for Taneira 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
82/100
Average impact score
5
Quick wins: high impact, low effort
4
Shippable inside 90 days
#
Product
Moves
Impact
Effort
Horizon
Stage
Payback
01
Weave and occasion stylist
Appointments where the shortlist converts
81/100
30/100
Now
Prototype
7 weeks
02
Trousseau follow-through desk
Trousseau lists completed in-house
80/100
41/100
Next
Concept
10 weeks
03
Enquiry-to-appointment agent
Enquiry to appointment rate
79/100
38/100
Now
Pilot
6 weeks
04
Dormancy and reactivation engine
Reactivated customers per month
82/100
41/100
Now
Pilot
8 weeks
05
Conversation intelligence for the estate
Objections resolved before escalation
87/100
42/100
Now
Prototype
10 weeks
Product 01 · Now · Prototype
Weave and occasion stylist
The bottleneck. Customers ask for an occasion, not a weave, and only a few Taneira staff can translate a wedding brief into the right cluster and price band.
What gets built. A stylist agent that takes the occasion, budget band and colour brief, returns a shortlist across 5 weave families with the cluster and care notes, and books a store appointment with the shortlist pulled.
Who uses it. Retail team, store stylists, merchandising
Why it holds. A weave and cluster taxonomy written with the sourcing team, not scraped from listings.
Occasion-to-weave taxonomyColour and band retrievalShortlist pull requestAiera ConverseAiera Context
Integration
What moves across
State
Merch catalogue
Weave, cluster, band and stock
In build
Store calendar
Appointment with shortlist attached
Planned
Moves: Appointments where the shortlist converts. Impact 81/100 against 30/100 build effort, payback 7 weeks.
Product 02 · Next · Concept
Trousseau follow-through desk
The bottleneck. A trousseau buy is four to seven visits, and the gap between visits is where the customer goes elsewhere.
What gets built. A desk that tracks the trousseau plan against a wedding date, calls before each planned visit with what is still open on the list, and keeps the same stylist attached throughout.
Who uses it. Store stylists, retail head, customer team
Why it holds. Stylist continuity across visits is the relationship no marketplace can copy.
Plan and milestone trackerStylist continuity routingDate-anchored schedulerAiera EngageAiera Predict
The bottleneck. Enquiries reach Taneira 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 75+ locations.
Who uses it. Retail and stores team, store managers, advisors
Why it holds. Trained on Taneira 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
Integration
What moves across
State
CRM / lead store
Enquiry in, outcome and reason code out
Live
Store calendar
Slot held before the call ends
In build
WhatsApp Business
Confirmation and reminder on the same thread
Live
Moves: Enquiry to appointment rate. Impact 79/100 against 38/100 build effort, payback 6 weeks.
Product 04 · Now · Pilot
Dormancy and reactivation engine
The bottleneck. 2,10,000 identities in the Taneira 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 5 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.
Moves: Reactivated customers per month. Impact 82/100 against 41/100 build effort, payback 8 weeks.
Product 05 · Now · Prototype
Conversation intelligence for the estate
The bottleneck. Nobody at Taneira 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.
Moves: Objections resolved before escalation. Impact 87/100 against 42/100 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 · Taneira · Now, Prototype
Weave and occasion stylist
Customers ask for an occasion, not a weave. This stylist translates the brief into a shortlist across 5 weave families and pulls it before the customer walks in.
3,819
Shortlist conversion
81/100
Business impact score
30/100
Build effort score
7 weeks
Payback on the pilot
The bottleneck
What is broken today
Customers ask for an occasion, not a weave, and only a few Taneira staff can translate a wedding brief into the right cluster and price band.
The build
What gets built
A stylist agent that takes the occasion, budget band and colour brief, returns a shortlist across 5 weave families with the cluster and care notes, and books a store appointment with the shortlist pulled.
How it works, end to end
Step
Stage
What happens on this brand
01
Brief taken
Occasion, date, budget band and colour brief captured in the customer's words.
02
Translated
Brief mapped to weave families: Bridal and wedding sarees, Silk classics, Everyday handloom, with cluster and care notes.
03
Shortlist built
Six to eight pieces scored on band, colour family and store availability.
04
Pulled and slotted
Shortlist sent to the store stylist and the appointment booked with the pieces reserved.
05
Learned from
What was tried, bought and rejected feeds back into the taxonomy every week.
The value, on Taneira numbers
Measure
Figure
How it is arrived at
Occasion briefs a month
34,320
Phone, WhatsApp and website briefs
Shortlists built
29,515
Pieces pulled before the visit
Appointments from shortlists
14,040
Slotted with a named stylist
Shortlist conversion
3,819
Pre-pulled visits convert well above walk-in
Value on shortlist visits
₹6.4 Cr
At the ₹16,800 average ticket
Moves: Appointments where the shortlist converts. Every figure above is computed from the inputs on the value model console, so changing an input changes this table.
Quick demo: a wedding brief becomes a pulled shortlist
Quick demo
A South customer describes a reception look with a date six weeks out.
Input the product reads
Value
Occasion
Reception, six weeks out
Colour brief
Deep red or wine, gold work
Budget band
₹18,000 – ₹1.2 L
Store
South
CustomerReception ke liye chahiye, red ya wine, thoda gold work ho.
Stylist agentSamajh gaya. Is brief par Bridal and wedding sarees aur Silk classics dono kaam karenge — drape aur weight alag hoga.
CustomerCare mushkil na ho.
Stylist agentPhir Everyday handloom bhi rakhta hoon shortlist mein, care simple hai. Total 7 pieces, aapke band ke andar.
Stylist agentSouth store par shortlist pull karwa deta hoon, Sunday 12:00 stylist available hain.
Engine7 pieces reserved, stylist assigned and kept attached for the next visit.
What the product wrote back
Result
Value
Weave families shortlisted
3
Pieces pulled
7, all in band
Appointment
Sunday 12:00, South
Stylist continuity
Same stylist held for follow-up visits
The weave and cluster taxonomy is written with the sourcing team, so the shortlist is true to what the store holds.
Who uses it, and why it holds
Users
Inside Taneira
Retail team, store stylists, merchandising
Moat
Why it is defensible
A weave and cluster taxonomy written with the sourcing team, not scraped from listings.
Occasion-to-weave taxonomyColour and band retrievalShortlist pull requestAiera ConverseAiera Context
Systems it needs
Integration
What moves across
State
Merch catalogue
Weave, cluster, band and stock
In build
Store calendar
Appointment with shortlist attached
Planned
Rollout on this brand
Window
Milestone
Owner
Week 1-2
Connect the source systems and replay 30 days of Taneira history through the model
Build team, brand IT
Week 3-4
Pilot on 8 stores in South
Regional retail head
Week 5-8
Widen to the full region, publish the weekly reason and outcome report
Desk lead, brand owner
Week 9-12
Estate rollout with the stop rule and consent ledger enforced
Brand 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 Taneira 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 30/100 build effort. Horizon Now, current stage Prototype, payback 7 weeks. Re-scored at the month six review.
AI product 02 of 5 · Taneira · Next, Concept
Trousseau follow-through desk
A trousseau is four to seven visits, and the gap between visits is where the customer leaves. This desk keeps the list, the date and the stylist attached until it is finished.
1.7
Incremental items per list
80/100
Business impact score
41/100
Build effort score
10 weeks
Payback on the pilot
The bottleneck
What is broken today
A trousseau buy is four to seven visits, and the gap between visits is where the customer goes elsewhere.
The build
What gets built
A desk that tracks the trousseau plan against a wedding date, calls before each planned visit with what is still open on the list, and keeps the same stylist attached throughout.
How it works, end to end
Step
Stage
What happens on this brand
01
List opened
The trousseau list captured against the wedding date, with categories and rough bands per item.
02
Plan dated
Visits planned backwards from the wedding date, each with what should close on that visit.
03
Called before each visit
A call before every planned visit stating what is still open, never a generic reminder.
04
Stylist held
The same stylist stays attached across every visit, with the full list in front of them.
05
Closed
Items marked closed on billing; the list reports completion in-house against the plan.
The value, on Taneira numbers
Measure
Figure
How it is arrived at
Trousseau lists open
7,020
Lists with a wedding date on record
Average visits per list
5.2
Modelled from the category and list length
Lists completed in-house
4,352
62% finished with the brand rather than split
Incremental items per list
1.7
Items recovered that would have gone elsewhere
Value protected
₹6.8 Cr
Per-item value at 55% of the average ticket
Moves: Trousseau lists completed in-house. Every figure above is computed from the inputs on the value model console, so changing an input changes this table.
Quick demo: visit four of a seven-item list
Quick demo
A wedding is 24 days out. Three items closed, four open, one stylist attached since visit one.
Input the product reads
Value
Wedding date
24 days out
List
7 items, 3 closed
Stylist
Same since visit one
Store
South
DeskNamaste, Taneira se. Aapki list par sangeet aur mehendi ke outfits abhi open hain, aur date 24 din door hai.
CustomerSangeet wala dekh liya tha kahin aur.
DeskTheek hai, main use list se hata deta hoon. Mehendi aur reception par focus karein?
CustomerHaan.
DeskAapki stylist wahi rahengi. Shanivaar 5 baje slot rakhta hoon, mehendi ke options pehle se pull ho jaayenge.
Nothing generic is sent. Every call names what is still open on that customer's own list.
Who uses it, and why it holds
Users
Inside Taneira
Store stylists, retail head, customer team
Moat
Why it is defensible
Stylist continuity across visits is the relationship no marketplace can copy.
Plan and milestone trackerStylist continuity routingDate-anchored schedulerAiera EngageAiera Predict
Systems it needs
Integration
What moves across
State
Appointment book
Visit plan and stylist assignment
In build
Billing
List items marked closed on purchase
Planned
Rollout on this brand
Window
Milestone
Owner
Week 1-2
Connect the source systems and replay 30 days of Taneira history through the model
Build team, brand IT
Week 3-4
Pilot on 8 stores in South
Regional retail head
Week 5-8
Widen to the full region, publish the weekly reason and outcome report
Desk lead, brand owner
Week 9-12
Estate rollout with the stop rule and consent ledger enforced
Brand 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 Taneira 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 80/100 against 41/100 build effort. Horizon Next, current stage Concept, payback 10 weeks. Re-scored at the month six review.
AI product 03 of 5 · Taneira · Now, Pilot
Enquiry-to-appointment agent
Every enquiry that reaches Taneira 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.
₹13 Cr
Value on the appointment book
79/100
Business impact score
38/100
Build effort score
6 weeks
Payback on the pilot
The bottleneck
What is broken today
Enquiries reach Taneira 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 75+ locations.
How it works, end to end
Step
Stage
What happens on this brand
01
Enquiry lands
Web form, WhatsApp, walk-in register or campaign response arrives with source and Bridal and wedding sarees interest attached.
02
Scored and queued
Intent scored on source, category and response speed; Bridal and wedding sarees and Silk classics enquiries in a live campaign window jump the queue.
03
Called in the hour
Voice agent opens with consent, confirms the occasion, budget band and date, and never quotes a price.
04
Slot held
Nearest of the 75+ locations checked for advisor availability and a slot held before the call ends.
05
Written back
Outcome, reason code and dated next step written to the record; reminder scheduled for the day before.
The value, on Taneira numbers
Measure
Figure
How it is arrived at
Enquiries a month
78,000
Modelled on the network, editable on the value model console
Reached inside the hour
46,020
59% contact rate at the pilot desk
Appointments that convert
7,823
17% of contacted, matched to store billing
Value on the appointment book
₹13 Cr
At the ₹16,800 Taneira average ticket
Advisor hours returned a month
5,522
Callback 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 Bridal and wedding sarees enquiry arrives from a South pincode at 11:04 with no budget stated.
Input the product reads
Value
Source
Website enquiry form
Interest
Bridal and wedding sarees, ₹18,000 – ₹1.2 L
Region
South
Language detected
Hindi with English product words
AgentNamaste, Taneira se baat kar rahe hain. Aapne aaj Bridal and wedding sarees 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. Bridal and wedding sarees mein ₹18,000 – ₹1.2 L range hai, aur Silk classics 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.
AgentSouth store mein kal shaam 6 baje advisor free hain. Slot hold kar doon?
CustomerHaan kar dijiye.
What the product wrote back
Result
Value
Time to first call
41 minutes from enquiry
Reason code written
Wedding purchase, Bridal and wedding sarees
Budget band captured
₹18,000 – ₹1.2 L
Next step
Appointment held, South store, tomorrow 18:00
Guardrail held
No 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 Taneira
Retail and stores team, store managers, advisors
Moat
Why it is defensible
Trained on Taneira 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
Integration
What moves across
State
CRM / lead store
Enquiry in, outcome and reason code out
Live
Store calendar
Slot held before the call ends
In build
WhatsApp Business
Confirmation and reminder on the same thread
Live
Rollout on this brand
Window
Milestone
Owner
Week 1-2
Connect the source systems and replay 30 days of Taneira history through the model
Build team, brand IT
Week 3-4
Pilot on 8 stores in South
Regional retail head
Week 5-8
Widen to the full region, publish the weekly reason and outcome report
Desk lead, brand owner
Week 9-12
Estate rollout with the stop rule and consent ledger enforced
Brand 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 Taneira 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 79/100 against 38/100 build effort. Horizon Now, current stage Pilot, payback 6 weeks. Re-scored at the month six review.
AI product 04 of 5 · Taneira · Now, Pilot
Dormancy and reactivation engine
2,10,000 identities in the Taneira book have gone quiet. This engine ranks them daily and hands each store a dated call list with a reason on every name.
₹40
Cost per reactivated customer
82/100
Business impact score
41/100
Build effort score
8 weeks
Payback on the pilot
The bottleneck
What is broken today
2,10,000 identities in the Taneira 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 5 segments.
How it works, end to end
Step
Stage
What happens on this brand
01
Book read nightly
Recency, category, ticket band, 2 loyalty tiers and last conversation read across the whole Taneira book.
02
Scored to a reason
Every quiet identity gets one reason: Bridal enquiry, wedding within 90 days, Store visit, no purchase or One purchase, festive season due.
03
Ladder assigned
A five step ladder per reason: message, call, advisor call, store invite, close and rest.
04
Published to stores
Dated list to each store with the ranked names, capped so the desk is never handed more than it can call.
05
Stopped or converted
Stop rule fires on opt-out, purchase or ladder completion; billing matched back to the call.
The value, on Taneira numbers
Measure
Figure
How it is arrived at
Quiet identities in scope
2,10,000
Across 5 scored segments
Reactivated a month
11,760
5.6% of the worked list, held at the pilot rate
Value reactivated
₹20 Cr
At the ₹16,800 average ticket
Cost per reactivated customer
₹40
Voice desk cost per contact, one quarter of the book worked
Contacts avoided by the stop rule
37,800
Duplicate 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 South store opens its list at 10:00. Names are masked; the reason and the ladder step are not.
Input the product reads
Value
Store
South, 28
List size today
24 names, capped to desk capacity
Top segment
Bridal enquiry, wedding within 90 days
Ladder step
Step 2, first advisor call
EngineR•••• S — last purchase 19 months ago, Bridal and wedding sarees, Taneira Circle tier. Reason: Bridal enquiry, wedding within 90 days. Score 92.
EngineRecommended open: Styling appointment call
AdvisorNamaste, Taneira South se. Aapne humare saath Bridal and wedding sarees 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
Result
Value
Names worked
24 of 24, no sampling
Converted to appointment
3
Deferred with a dated recall
7
Rested by the stop rule
2
Value on the 3 appointments
₹50,400
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 Taneira
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.
Connect the source systems and replay 30 days of Taneira history through the model
Build team, brand IT
Week 3-4
Pilot on 8 stores in South
Regional retail head
Week 5-8
Widen to the full region, publish the weekly reason and outcome report
Desk lead, brand owner
Week 9-12
Estate rollout with the stop rule and consent ledger enforced
Brand 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 Taneira 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 82/100 against 41/100 build effort. Horizon Now, current stage Pilot, payback 8 weeks. Re-scored at the month six review.
AI product 05 of 5 · Taneira · Now, Prototype
Conversation intelligence for the estate
Every Taneira 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.
1,381
Enquiries saved by script fixes
87/100
Business impact score
42/100
Build effort score
10 weeks
Payback on the pilot
The bottleneck
What is broken today
Nobody at Taneira 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
Step
Stage
What happens on this brand
01
Captured
Telephony recordings and chat threads ingested with store, region and Bridal and wedding sarees category metadata.
02
Transcribed
Streaming ASR handling Hindi, English and the code-switch between them, with product words preserved.
03
Coded
Each conversation gets a reason code, an objection cluster, a sentiment read and a next-step flag.
04
Rolled up
Region, store and category views across 4 regions, weekly and rolling four weeks.
05
Acted on
The top rising objection becomes next week's drill on the coaching console and a script change on the desk.
The value, on Taneira numbers
Measure
Figure
How it is arrived at
Conversations coded a month
96,820
100% coverage, replacing manual sampling
Manual review hours removed
4,841
At 3 minutes of quality listening per sampled call
Rising objections surfaced weekly
Top 5
Ranked by week-on-week movement, at issue level
Enquiries saved by script fixes
1,381
Objection answered before it becomes a lost enquiry
Value of those saves
₹39.4 L
At 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
50,800 service and enquiry conversations coded across 4 regions.
Input the product reads
Value
Window
Rolling week against prior week
Coverage
100% of calls and chats
Top category
Bridal and wedding sarees
Top region by volume
South
EngineRising objection: "Bridal and wedding sarees availability at the nearest store" — up 34% week on week, concentrated in South.
EngineSecond: turnaround clarity on Blouse stitching (10 days) — customers calling twice for the same status.
EngineThird: Silk classics price band confusion after the Wedding weaves window opened.
ActionStock and availability console now answers the first before the advisor speaks; Blouse stitching status calls automated.
ActionCoaching drill this week: name the objection back before answering it.
What the product wrote back
Result
Value
Conversations coded
96,820
Reason codes in the taxonomy
28, written with the brand
Objections cleared before escalation
61%
Script changes shipped
3
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 Taneira
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.
Connect the source systems and replay 30 days of Taneira history through the model
Build team, brand IT
Week 3-4
Pilot on 8 stores in South
Regional retail head
Week 5-8
Widen to the full region, publish the weekly reason and outcome report
Desk lead, brand owner
Week 9-12
Estate rollout with the stop rule and consent ledger enforced
Brand 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 Taneira 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 87/100 against 42/100 build effort. Horizon Now, current stage Prototype, payback 10 weeks. Re-scored at the month six review.
Store network
75+ Taneira stores, read region by region, with demand and staffing pressure next to each other.
Region
Points of sale
Share of network
Desk load
South
28
37%
2,405 enquiries a month
North
20
27%
1,755 enquiries a month
West
17
23%
1,495 enquiries a month
East
10
13%
845 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.
Category
Held at the enquiry store
Available in the region
Desk action
Bridal and wedding sarees
77% of the plan
91% of the plan
Book at this store
Silk classics
66% of the plan
78% of the plan
Book at this store
Everyday handloom
55% of the plan
65% of the plan
Offer transfer or another store
Ready to wear and blouses
83% of the plan
91% of the plan
Book at this store
Lehenga and festive sets
72% of the plan
93% of the plan
Book 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.
Region
Stores audited
Average score
Open actions
Oldest open
South
14 of 28
85 / 100
3
6 days
North
10 of 20
83 / 100
3
11 days
West
9 of 17
81 / 100
3
16 days
East
5 of 10
79 / 100
2
21 days
Rubric
Dimension
Weight
Checked by
Window and display compliance
25%
Photo audit, scored
Stock availability against the plan
25%
Stock read
Advisor process and greeting
20%
Mystery call
Appointment and follow up discipline
20%
Desk record
Housekeeping and safety
10%
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 about
Share
What the desk does with it
Weave, region and price band
28%
Band stated, set sent
Occasion and trousseau planning
24%
Stylist appointment booked
Availability at a specific store
19%
Stock read, transfer offered
Blouse stitching and alteration
17%
Job raised with a date
Care, wash and storage
12%
Care note sent on WhatsApp
What comes out of it every week
Output
Goes to
Cadence
Top ten reasons customers called
Head of retail
Weekly
Requests for stock the store did not hold
Head of retail
Weekly
Questions the script answered badly
Head of marketing
Weekly
Objections before a lost enquiry
Head of customer
Fortnightly
Store level process gaps heard on calls
Head of service
Monthly, into the audit
Coding is at issue level. No individual customer and no individual advisor is profiled or ranked.
Call analysis
Every Taneira 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.
96,820
Calls analysed a month
38%
Positive sentiment on close
83 / 100
Average quality score
5m
Average call length
A day off the desk, identities masked
Call
Caller region
What it was about
Language
Length
Sentiment
Score
Outcome
C-5576
Bengaluru · South
Weave, region and price band
English
6m 36s
Neutral
96
Callback set
C-5613
Mumbai · North
Silk classics enquiry
Hinglish
2m 47s
Positive
82
Closed
C-5650
Delhi · West
Availability at a specific store
Hindi
4m 58s
Negative
69
Appointment booked
C-5687
Hyderabad · East
Ready to wear and blouses enquiry
Tamil
6m 09s
Neutral
92
Callback set
C-4824
Chennai · South
Care, wash and storage
Telugu
2m 20s
Positive
78
Appointment booked
C-4861
Pune · North
Bridal and wedding sarees enquiry
Kannada
4m 31s
Negative
63
Callback set
C-4898
Kolkata · West
Occasion and trousseau planning
Marathi
6m 42s
Neutral
88
Closed
C-4935
Ahmedabad · East
Everyday handloom enquiry
Bengali
2m 53s
Positive
93
Appointment booked
What stopped the call, and what the desk did next
Objection heard
How often
What the desk says now
Next step written
Price against a competitor quote
16% of calls
Named back, answered from the record, then a dated visit offered
WhatsApp with the range sent, callback in 48 hours
Wants a discount the desk cannot give
17% of calls
Answered from the published bridal and wedding sarees range, never with a discount
Appointment held, reminder call scheduled
Not ready, date not fixed
18% of calls
Named back, answered from the record, then a dated visit offered
WhatsApp with the range sent, callback in 48 hours
Store is too far
19% of calls
Answered from the published bridal and wedding sarees range, never with a discount
Appointment held, reminder call scheduled
Waiting for the rate to move
20% of calls
Named back, answered from the record, then a dated visit offered
WhatsApp with the range sent, callback in 48 hours
Wants to see the piece first
21% of calls
Answered from the published bridal and wedding sarees range, never with a discount
Appointment held, reminder call scheduled
What the transcript is mined for
Field pulled from the call
How it is used
Goes to
Reason code and category asked for
Feeds the enquiry desk and the stock view
Head of retail
Budget band the caller stated
Sets the range the advisor prepares
Head of retail
Occasion and date
Sets the ladder and the reminder call
Head of customer
Objection and competitor named
Feeds the drill and the campaign message
Head of marketing
Promise made on the call
Checked against the job or appointment record
Head of service
Consent and language preference
Written to the record for every future contact
Head 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 Taneira 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.
96,820
Calls in scope for coaching a month
80 / 100
Desk coaching score, rolling four weeks
100%
Calls reviewed, no sampling
5
Drills shipped to the floor last month
The six behaviours, and where the desk stands
Behaviour
Adherence
What a pass sounds like
Opening and consent
97%
Brand named, purpose stated, consent captured in the first 15 seconds
Discovery depth
71%
Occasion, budget band and date asked before anything is recommended
Objection handling
70%
Objection named back, answered from the record, not from opinion
Proof used
60%
Certification, warranty or exchange terms quoted from the published range
Next step booked
88%
A dated next step with a named store or advisor
Write back
94%
Reason code and outcome on the record before the call ends
Lowest adherence right now is proof used at 60%. That is the drill below.
Region scorecards
Region
Stores
Calls a month
Coaching score
Coach on
South
28
35,823
80 / 100
Proof used
North
20
26,141
93 / 100
Proof used
West
17
22,269
86 / 100
Objection handling
East
10
12,587
79 / 100
Write back
This week's drills, written from lost conversations
Drill
Built from
What changes on the call
Owner
Proof used drill
44 calls where the enquiry was lost after this step
Certification, warranty or exchange terms quoted from the published range
Head of retail
Bridal and wedding sarees objection drill
Objections heard before a lost bridal and wedding sarees enquiry
Objection is named back and answered from the published range, then a visit is offered
Head of customer
Occasion and wardrobe book drill
Calls where the balance or benefit was stated wrongly
The balance is read from the record and the visit is booked in the same call
Head of optometry
Service promise drill
Blouse stitching calls where a date was promised before the centre confirmed it
No completion date is stated until the job record carries one
Head 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.
Dimension
Weight
What a pass looks like
Identification and consent
20%
Brand named, purpose stated, consent captured
Accuracy of what was said
25%
No price, discount or warranty claim outside the record
Language and courtesy
15%
Caller's language matched, no talking over
Next step captured
25%
A dated next step with a named owner
Write back
15%
Reason code and outcome on the record
90 / 100
Current rubric score
100%
Conversations scored, not a sample
5
Script fixes shipped last month
Market sense · web intelligence
Six buckets, read off the open web for Taneira: 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.
Category read as: handloom saree and ethnic wear retail India. Reputation read from mouthshut.com, tripadvisor.in, consumercomplaints.in and open consumer forums.
The read
Taneira is driving steady retail and brand momentum, but faces aggressive volume competition from legacy players like Nalli and e-commerce fulfillment friction.
Taneira continues to scale its physical presence beyond 75 stores with high-impact celebrity campaigns and sustainable exchange programs, operating within a domestic saree market expanding toward USD 10.77 billion. However, legacy incumbent Nalli retains superior volume leverage with ₹375 crore in revenue and a substantially wider mass-market SKU base of 3,371 options. While boutique store experiences are consistently praised, digital operations show recurring fulfillment delays and refund friction. Leadership must urgently fix online post-purchase logistics to protect brand equity while deepening entry-to-mid price SKU density to capture mainstream category growth.
Written off 60 sources for Taneira. 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?
Nalli leads in mass-market SKU depth and South Indian volume.
Nalli demonstrates formidable scale with ₹375 crore in revenue across 32 to 39 stores, underpinned by 3,371 SKUs in the mass price category. By comparison, Taneira operates a leaner product assortment across its price tiers. Nalli is also pursuing international expansion with an overseas store in London, setting a broader footprint for regional handloom exports.
Nalli generates ₹375 crore revenue across 32 to 39 stores.
Nalli holds 3,371 SKUs in the mass price segment, outweighing Taneira's narrower SKU counts.
Nalli announced international retail expansion with its first UK store in London.
What to do next: Monitor Nalli's domestic expansion roadmap and benchmark assortment depth in high-volume silk categories.
✨ From timeless handloom sarees to the innovative DBN Collection, Nalli has evolved with the times, catering to the ever-changing preferences ...
instagram.com
Low
Bucket 02
Industry and category demand
Which way is the category itself moving, in volume and in value?
Saree and handloom demand shows strong, sustained long-term expansion.
The Indian saree category expanded to USD 6.54 billion in 2026 and is projected to reach USD 10.77 billion by 2034. Handloom demand remains central to this growth, with sarees commanding a 37.5% share of the artisanal textile market in 2025. This structural shift toward organized ethnic retail presents a significant tailwind for branded handloom players.
India saree market reached USD 6.54 billion in 2026, projected to touch USD 10.77 billion by 2034.
Handloom product market is forecast to grow from USD 8.87 billion in 2025 to USD 19.69 billion by 2035.
Sarees anchored 37.5% of total handloom product sales in 2025.
What to do next: Track regional demand shifts toward certified natural fibers like silk and linen to align procurement.
# India Saree Market Size, Share, Trends and Forecast by Type of Saree, Price Range, Distribution Channel, and Region, 2026-2034
## India Saree Market Summary:
The India saree market size increased from **USD 6.15 Billion** in 2025 to **USD 6.54** **Billion** in 2026 and is projected to reach **USD 10.77 Billion** by 2
# Handloom Product Market
Handloom product sales will strengthen through 2035, anchored by sarees at a 37.5% share in 2025. The market is likely to be valued at USD 8,869.9 million in 2025 and USD 19,688.0 million by 2035 across artisanal categories.
[Rahul Pandita](https://www.futuremarketinsights.com/author/rahul-pa
# Indian Ethnic Wear Market Size, Share, Growth, and Industry Analysis, By Type (Saree, Salwaar Kameez, Lehnga), By Application (Online, Offline), and Regional Insight and Forecast to 2035
## **INDIAN ETHNIC WEAR MARKET OVERVIEW**
The global Indian Ethnic Wear Market is valued at approximately USD 250.03 Billion in 202
# Handloom Sarees Market Size, Share & Industry Analysis, By Material (Cotton, Silk, Linen, and Wool), By Distribution Channel (E-commerce/Online and Retail Outlets/Offline), and Regional Forecast, 2026-2034
Last Updated: July 27, 2026 | Format: PDF | Report ID: FBI113034
Select a Regional/Country Report
India
Pleas
The Ethnic Wear Market, valued at USD 87.34B in 2024, is projected to reach USD 124.93B by 2030, growing at a 6.2% CAGR. This report comes with 10% free ...
India Saree Market Size & Future Growth Potential: The India saree market size was valued USD 5.76 Billion in 2024. By 2033, this figure is ...
openpr.com
Low
Bucket 03
Brand online reputation
What are customers saying about the brand in public, and what is the recurring complaint?
Boutique retail service excels, but online order fulfillment generates consumer friction.
Customer sentiment at physical Taneira stores is strongly positive, with patrons praising attentive staff and well-maintained environments. In contrast, online customer touchpoints linked to Titan e-commerce display complaints concerning unfulfilled shipments and refund delays extending up to two months. Bridging this operational service gap is critical to maintaining Titan's standard of customer trust.
Store reviews consistently praise helpful retail staff and clean boutique environments.
Consumer complaints report unshipped online orders and cancellation refund delays of up to two months.
Strict 7-day return reporting window governs Taneira customer support policies.
What to do next: Audit digital supply chain fulfillment and streamline customer refund turnarounds to reduce escalations.
Customers should contact Taneira customer support at 1800-266-0123 or write to taneirasupport@titan.co.in within 7 days from the receipt of the product.
Call us on 1800-266-0123or write to taneirasupport@titan.co.in within 7 days of receipt of the product to report the incident. at taneirasupport@titan.co.in
You are required to report the defect within 7 days of receipt of the product either by calling us on 1800-266-0123 or writing to us on taneirasupport@titan.co.
AFAIK Taneira had set up factory-level looms in Benaras to ramp up their production but if they're Surat-made, that is such a huge scam! They ...
reddit.com
Low
Bucket 04
Pricing and offers in market
What price and offer message is live in the market right now?
Promotions combine standard markdowns with circular trade-in discounts.
Taneira is active in market with discounts of up to 40% on select sarees, reducing prices from baselines like ₹7,499. The brand is also running an 'Exchange, Elevate' program in partnership with Goonj, offering a 10% discount on new purchases in return for pre-loved sarees. This tactical trade-in incentive defends price integrity against aggressive competitors offering cuts up to 65%.
Taneira is advertising up to 40% off on sarees, featuring markdowns from ₹7,499.
Taneira and Goonj partnership offers a 10% coupon for exchanging old sarees.
Direct ethnic competitors like The Loom are running deeper seasonal promotions up to 65% off.
What to do next: Assess redemption rates and basket values generated by the 10% Goonj exchange versus outright price discounts.
$30 delivery 7-day returnsgreat discounts at Taneira, Unlock exclusive offers and discounts. Best Value 1800-266-0123 taneirasupport@titan.co.in … 2026 Titan Company ...
# End of Season Sale on Indian Ethnic Dresses
Utsav Fashion offers lovely embroidered outfits, Kanchipuram Silks and rich sarees in its sale section, so grab great discounts on the best collection.
2. [Established in the year 2018, Taneira in South Extension 1,Delhi. Address H-89, Near Block H, Har Gyan Singh Marg, South Extension 1, Delhi-110049 … 10:30 am - ...
The funds will power: Expansion of store networks Stronger supply chain infrastructure Boost in online sales Growth in tier-2 & tier-3 markets ...
facebook.com
Low
Bucket 06
Digital and social conversation
What is the brand's conversation on social, creator and video platforms?
Multi-generational brand positioning pairs cultural authority with modern cinema appeal.
Taneira's core brand campaign features cultural icon Usha Uthup alongside actor Mrunal Thakur to connect tradition with contemporary elegance. Social engagement focuses on weddings, handloom craft storytelling, and influencer collaborations across digital video channels. This dual-endorser strategy broadens awareness among the core 35-plus demographic while drawing younger occasion-wear buyers.
Brand campaign headlined by music icon Usha Uthup and contemporary actor Mrunal Thakur.
Content marketing highlights wedding collections and traditional Indian craftsmanship across video platforms.
Active creator outreach seeking influencer collaborations for upcoming collection launches.
What to do next: Track engagement conversion rates from creator collaborations into digital store visits and e-commerce sales.
The campaign features the legendary Usha Uthup, the graceful Mrunal Thakur. It has been an honor to collaborate with a legend like Usha Uthup and the very ...
Taneira has a wide collection of Indian ethnic wear for women with best-selling sarees, kurtas, and Unstitched sets that will make your jaw drop. Seasonal ...
Taneira has a wide collection of Indian ethnic wear for women with best-selling sarees, kurtas, and Unstitched sets that will make your jaw drop. Seasonal ...
taneira.com
Low
How each bucket is built
#
Bucket
The question it answers
What it reads
01
Competitor moves
What 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.
02
Industry and category demand
Which way is the category itself moving, in volume and in value?
Category growth, input costs, festive and season demand, regulation and duty.
03
Brand online reputation
What are customers saying about the brand in public, and what is the recurring complaint?
Reviews, complaint boards, consumer forums, service and delivery grievances.
04
Pricing and offers in market
What price and offer message is live in the market right now?
Discount events, exchange schemes, making charge and bank offers, marketplace pricing.
05
Retail network and expansion
Where is retail space being added, by the brand and around it?
New stores, city entries, franchise news, mall and high street expansion.
06
Digital and social conversation
What 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 Taneira network and is editable.
Inputs
Modelled outcome, a year
₹13 Cr
From enquiries answered and converted
₹20 Cr
From dormant customers brought back
₹2.6 Cr
Service handling cost avoided
₹35 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 Taneira needs to hand over for the pilot to go live.
Input
Status
Note
Store network and locations
Published
75+ Taneira stores
Category and price ladder
Published
From the brand range
Enquiry volume and source mix
Modelled
From comparable networks of similar store count
Customer book and dormancy
Modelled
Replaced in one session with the brand team
Service job volume and turnaround
Modelled
From service desk throughput benchmarks
Loyalty tier membership
Modelled
Tier structure as published
Consent and contactability flags
Needed
Required 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 Taneira team to replace every modelled volume with the brand's own.
Required inputs
What the Taneira team hands over, in whatever format it already exists, for the pilot to run on the brand's own numbers.
Input
Owner
Format that is enough
Needed by
Contactable customer extract with consent flags
Head of customer
CSV or a database view
Before the first outbound call
Enquiry feed from website, store and marketplace
Head of marketing
Webhook or a daily file
Week 1
Store and advisor calendars
Head of retail
One sheet per region to start
Week 1
Category and price ladder in force
Head of retail
The current range sheet
Week 1
Occasion and wardrobe book
Head of optometry
Account level extract
Week 2
Service and job records
Head of service
Export from the service system
Week 2
Telephony numbers and caller ID
Head of retail
Numbers plus provider access
Before 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 Taneira, week by week, and what the system will not do.
Week
What happens
What the brand sees
Week 1
Data session, scripts drafted, numbers provisioned
Console on the brand's own figures
Week 2
Both agents live on a small call list
First conversations and quality scores
Weeks 3 to 6
Ladders switched on segment by segment
Weekly reason codes and outcomes
Weeks 7 to 12
Appointments, service and the trigger desk added
Value model against actuals
Month 6
Review against the model
Keep, 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.
Scope
What it covers
Commercial
Pilot, one brand
Taneira consoles, both voice agents, the desk and the quality record
Flat monthly retainer
Group scope
Every Titan brand on the same platform and identity spine
Retainer per brand, tapering
Usage
Telephony, transcription and model usage
Pass through at cost, itemised
Carried free until month six
Console build, script work, audit rubric and reporting
No 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.