AI-powered multilingual voice assistant for Flipkart — understands English, Hindi, and Hinglish with human-grade clarity. Trained on 50+ e-commerce intents including Orders, Returns, Delivery, and Seller Support.
Mera order kahan hai abhi?
"Where is my order right now?"
Tap the mic to start the demo
Not a generic chatbot retrofitted for e-commerce. BhaashaSetu is trained exclusively on Flipkart's shopping workflows and Indian linguistic patterns.
Neural TTS with prosody control, regional accent adaptation, and emotional tone modulation — indistinguishable from a trained Flipkart customer care executive.
Seamlessly transitions between languages mid-conversation. Understands code-mixed speech like "Mera order kab aayega?" without breaking context.
Fine-tuned on 2.4M+ shopping conversations. Recognizes 50+ intents including Order Tracking, Returns, Refunds, Delivery Issues, and Seller Queries.
99.97% uptime SLA backed by multi-region deployment. Auto-scales during peak hours (Big Billion Days, sale events) without pre-provisioning.
A 6-stage AI pipeline purpose-built for Indian telephony infrastructure, processing each customer query in under 2 seconds end-to-end.
Noise-robust speech recognition with 8kHz telephony support and VAD (Voice Activity Detection) optimized for Indian mobile networks
Per-utterance language identification supporting Hindi, English, Hinglish with 99.2% accuracy across Indian regional accents
Transformer-based intent classification + named entity extraction (Order ID, Product Name, Amount, Date, Address)
Secure integration with Flipkart Order Management System, Logistics API, and Seller Portal via encrypted REST endpoints
Context-aware response generation with multi-turn memory and slot-filling for complex queries like return + refund flows
WaveNet-based TTS with regional accent profiles and real-time prosody adjustment for friendly, helpful customer care tone
Aggregated across live deployments spanning Flipkart customer care, seller support, and delivery operations. Audited by Deloitte India, Q4 2025.
Average customer support wait time dropped from 8 min to 48 seconds after deployment
Bot resolution costs ₹1.80 vs ₹6.40 for human agent — proven across 12 deployments
End-to-end voice pipeline: ASR → NLP → OMS → TTS in under 2 seconds on 4G
24/7/365 availability with multi-region failover. Handles Big Billion Days traffic spikes.
Pre-built intent modules for every major Flipkart customer workflow — deploy in days, not months. Each module is optimized for Indian e-commerce patterns.
Customers can check order status, expected delivery date, and shipment location — in their language, without navigating the app.
Sample utterance:
"Mera order kahan hai? Kal delivery thi"
Return initiation, pickup scheduling, exchange requests, and return policy queries — fully automated with Flipkart OMS integration.
Sample utterance:
"Yeh product damage hai, return karna hai"
Refund status tracking, payment failure resolution, wallet credit queries, and EMI issue handling via voice with OTP authentication.
Sample utterance:
"Mera refund 7 din se pending hai"
Address change requests, delivery rescheduling, missed delivery follow-ups, and delivery partner contact — all via voice.
Sample utterance:
"Address change karna hai delivery ke liye"
Product availability, size/spec queries, wishlist management, account issues, and password reset — with voice-based identity verification.
Sample utterance:
"Yeh phone ka 8GB RAM wala model available hai?"
Seller onboarding guidance, listing issues, payment settlement queries, and policy clarifications — multilingual support for Flipkart sellers.
Sample utterance:
"Mera payment settlement kab hoga?"
Real results from Flipkart's customer experience, seller support, and logistics teams.
“We deployed BhaashaSetu for our Hindi-speaking customer base in UP and Bihar. The Hinglish comprehension is genuinely impressive — it handles order tracking and return queries our previous IVR failed on 45% of the time. First-call resolution went from 52% to 89% in 3 months.”
“The seller support module saved us enormous manual effort during Big Billion Days. 28,000 seller queries handled over the sale weekend without a single human agent involved. Settlement and listing issue resolution was seamless.”
“Our tier-2 customers in Telangana and Karnataka were struggling with English-only support. BhaashaSetu's Telugu-accented Hinglish support was a game changer for delivery rescheduling and missed delivery follow-ups. CSAT jumped from 3.2 to 4.8 within 60 days.”
A founding team with deep roots in Indian e-commerce, Indic language AI, and enterprise marketplace infrastructure.
Co-Founder & CEO
Ex-Flipkart Product, IIT Bombay CSE
Co-Founder & Chief AI Officer
PhD NLP — IISc Bangalore, Ex-Microsoft Research
CTO & Head of Engineering
Ex-Meesho Platform, BITS Pilani
VP — Partnerships & Growth
Ex-Amazon India, IIM Ahmedabad
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