Urban Thread Retail turned WhatsApp into their #1 sales channel — in Hindi, English, and everything in between.
How a 12-store Delhi NCR retail chain used Go4whatsup's AI + auto-translate to drive +47% return customers, ₹32 L of monthly WhatsApp GMV, and cut support-call volume by 60%.
Womenswear retail · 12 stores · Delhi NCR · 85k customer base
"The auto-translate was the unlock. Half our customers message in Hindi, half in English, some mix both — Go4whatsup's AI handles it. FAQ answers go out instantly, my agents only see the real conversations. We shifted 40% of support off phone calls in the first month."
What changed — and why it worked.
Challenge
- One support line across 12 stores was drowning — 450+ calls a day, most repeating the same "What's in stock at the Saket branch?" question.
- Customer base is ~55% Hindi-first, ~45% English-first — existing chat tools forced agents to reply in one language or type both.
- Repeat-customer rate was flat at ~28% despite strong in-store loyalty — no digital channel was bringing them back.
- Marketing campaigns went out on email and SMS — open rates under 12%, conversion sub-1%.
Solution
- AI auto-reply trained on Urban Thread's FAQ (stock, sizing, store hours, returns). 80% of incoming messages resolved without an agent.
- Auto-translate — incoming Hindi messages auto-translate to English in the agent inbox; agent replies auto-translate back to Hindi. One team, two languages.
- AI-drafted replies for the 20% that reach an agent — counsellors edit and send instead of typing from scratch.
- Segmented broadcasts for repeat buyers — new drops, festive collections, store-specific offers — with AI-generated copy in both languages.
Results (90 days)
- Return-customer rate jumped from 28% → 41% — a +47% lift quarter-over-quarter.
- WhatsApp became the #1 sales channel, generating ₹32 L in monthly GMV (overtook walk-in and Instagram DMs).
- Median reply time dropped from ~38 min to 4 min. CSAT went from 3.9 to 4.7 / 5.
- Support-call volume fell 60% — one agent now handles what three used to.
The three templates doing the work.
Pulled from Urban Thread's live account. Customer names changed — numbers and copy are real.
Handled end-to-end without an agent. Booking syncs to the store's CRM.
Agents don't need to speak Hindi — auto-translate handles both directions in real time.
Your favourites — new silk sarees in deep jewel tones. Repeat customers get 20% off until Oct 28. Walk in or browse here 👇
Ritika's team writes one prompt. AI produces the message in both languages, segmented and scheduled.
How Urban Thread went live in 30 days.
Meta Business verification + green-tick filing. Go4whatsup account provisioned. First 12 FAQ templates submitted to Meta for approval.
AI auto-reply trained on Urban Thread's FAQ doc (stock, sizing, store hours, return policy). Auto-translate enabled — agents started seeing translated incoming messages.
Agent inbox rolled out to 4 support staff. AI-drafted replies went live. First Instagram-to-WhatsApp click-to-chat campaign launched.
Broadcast segmentation wired up (by store, purchase history, language preference). First festive broadcast sent — 41% CTR, ₹9.4 L GMV in 72 hours.
Measurement dashboard wired to Go4whatsup analytics. Ritika's team reviewing a weekly report pinned to Slack. Return-customer rate climbing.
We had evaluated four WhatsApp platforms before Go4whatsup. The others could send broadcasts. Only Go4whatsup could read a Hindi message, auto-reply in Hindi from our FAQ, translate Hindi to English for our agents, and generate campaign copy in both languages — out of the box. We went from a flat 28% return-customer rate to 41% in one quarter. It's our #1 channel now.
What powered the story.
Want numbers like Urban Thread? Start this week.
Ritika's team shipped their first flow inside 2 weeks. Bring one metric — return-rate, GMV, CSAT, reply time — we'll show you the exact flow on the call.
💬 Or WhatsApp us the metric you want to move — we'll reply with a plan.