Local LLM-Powered Privacy-First Customer Inbox
Support token costs reduced to ₹0
We deployed a high-performance local Small Language Model inside their cloud boundary, consolidating multi-channel support chats into a single secure inbox at zero ongoing token fee.
▸ Challenge
A major Indian D2C brand was handling over 15,000 queries daily across WhatsApp, email, and live chat. API token costs for proprietary models were sky-rocketing, and compliance requirements under India's Digital Personal Data Protection (DPDP) Act prohibited sending customer PII to external, foreign cloud servers.
▸ Solution & Implementation
We built an all-in-one customer messaging inbox and deployed a high-performance local Small Language Model (SLM) running on secure, private GPU nodes in India. The local model is deeply integrated with their legacy inventory and ERP database via secure APIs. It automatically indexes order history, tracks shipping status, categorizes tickets, and drafts bilingual (Hinglish/English) replies, automatically resolving routine queries while retaining human-in-the-loop fallback capability.
▸ Business Impact & Metrics
Saved the brand over ₹3,20,000/month by reducing external API fees to absolute zero. The local deployment ensured 100% compliance with DPDP data localization requirements. Automated ticket deflection reached 62% in the first month, while customer satisfaction (CSAT) scores increased by 18%.