How I Built an AI Replenishment Engine Without Getting Burned by Bad Data
Coming soon: the real story behind deploying predictive replenishment at scale across 90+ distributors.
Senior Product Manager · Bengaluru
Product leader with 9+ years building AI-powered supply chain platforms, dealer ecosystems, and LLM systems at enterprise scale.
I started as a software engineer building IoT apps. What I kept seeing was the same problem: the intelligence existed in the data, but the people who needed it had no way to act on it. That gap between raw enterprise data and decisions on the ground is what I've spent 9 years closing.
At TVS Motors, I own the supply chain platform serving 90+ distributors nationwide on a ₹3,000Cr+ annual revenue base. I've deployed AI replenishment engines, built dealer e-commerce generating ₹50L+ monthly, and defined the architecture for an LLM analytics copilot.
I take complex enterprise problems, break them down, and ship products people depend on every day.
9 years of progressive growth across IoT, digital commerce, and AI-powered enterprise platforms.
Leading the enterprise DMS platform for 90+ distributors across India. Deployed AI replenishment engines, conceptualized a Pan-India inventory exchange marketplace, and defined the architecture for an LLM-powered analytics copilot.
Built a dealer-facing e-commerce platform from scratch that hit 45% digital order penetration. Launched a mobile loyalty ecosystem that drove 18% repeat purchase lift and 60% active participation within year one.
Made the leap from engineering to product. Owned strategy for IoT Hubs and Controller platforms, partnered with Schneider Electric on the Wiser India initiative, and cut cycle times by 30% through structured Agile governance.
Where it all started. Built Android apps for IoT-based home automation, working closely with firmware and backend teams. This hands-on engineering foundation shapes how I think about products today.
End-to-end AI use cases I conceptualized and drove at TVS Motors.
End-to-end product builds — architecture, ML, APIs, and compliance — designed before the first line of code.
Most teams default to vector RAG for everything. But when you chunk a 200-page document into 300-token pieces, you destroy the document map.
Coming soon: the real story behind deploying predictive replenishment at scale across 90+ distributors.
Coming soon: the real story behind deploying predictive replenishment at scale across 90+ distributors.
From software engineer to senior PM across IoT, supply chain, and digital commerce.
Deployed demand intelligence, LLM copilots, and predictive systems at enterprise scale.
Strategy & Operations focus at one of India's premier management institutes.
Platform influence across nationwide distributor networks.
Download my full resume for a detailed view of my experience, skills, and impact.
Download Resume ↓Whether it's a senior PM role, advisory engagement, or just a chat about AI and supply chain, I'd love to hear from you.