Client Delivery

Here.app – Multilingual Vehicle Intelligence Platform

HDFC ERGO

⚡Vehicle spec chatbots produced inconsistent and factually unreliable answers - the same query in different languages could return contradictory results; manual support escalation was the only fallback for spec-heavy queries, creating volume bottlenecks at scale.

⚠️HDFC Bank's vehicle intelligence required accurate answers on structured specification data across 163 languages. Standard chatbots failed on spec queries - generating inconsistent answers that increased manual support escalation.

⚙️RAG-based vehicle intelligence assistant grounded in a curated specification database with image-linked attributes. QA-tested retrieval pipeline with dynamic data lookup across 163 languages - localized responses grounded in the same structured data, not translated post-hoc.

🛡️QA-gated retrieval enforces factual grounding before responses are served - no speculative answers on spec queries. Structured specification database acts as a single source of truth across all 163 language boundaries. Accuracy validated across full coverage before production.

🚀~97% factual accuracy across 163 languages. Reduced manual support escalation on spec-heavy queries.

↳ ~97% factual accuracy • 163 languages • reduced manual escalation on specification queries

RAG163 LanguagesQA-Gated RetrievalStructured Spec DatabaseDynamic Data RetrievalVehicle Intelligence