---
title: "Kamal Gupta - AI Product Manager in Mumbai | Tal"
description: "Meet Kamal Gupta, AI Product Manager at Unilever | AI Products, Last-Mile Ops, B2B/B2C Commerce | 0→1 to Scale | SPJIMR | PEC based in Mumbai. AI stack includes antigravity and codex."
image: "https://tal.club/meet/kamal-gupta/share-image"
---

# Kamal Gupta on Tal

## Headline

AI Product Manager at Unilever \| AI Products, Last\-Mile Ops, B2B/B2C Commerce \| 0→1 to Scale \| SPJIMR \| PEC

## About

I build products that work at scale, not just at launch\. Over the last 7 years, including 4 years as Product Manager at Hindustan Unilever, I have shipped AI\-powered and consumer\-facing products used by 2\.5M\+ outlets, retailers, and delivery partners across 21\+ countries\. My work sits at the intersection of AI/ML personalisation, ops\-tech, and B2B commerce\. At Hindustan Unilever, I designed iQ Nexus, a neural\-network personalisation engine that has delivered 150M\+ SKU recommendations globally across 2\.5M\+ outlets and drives meaningful incremental revenue moving the business from static, tree based, rule\-based logic to models that capture the patterns traditional approaches could not\. I work closely with data science across the full product loop: defining model inputs, shaping evaluation criteria, measuring success in business terms, and driving adoption in the field\. Alongside this, I own the product vision for a global Distributor Management Platform built from 0 to 1 across multiple 8\+ SA/SEA markets, and have built last\-mile delivery and warehouse apps at quick\-commerce scale\. What I enjoy most is the unglamorous part of AI products \- solving cold\-start for new outlets, making recommendations explainable enough for a salesperson to act on, and driving the change management that turns a model into daily usage\. Outside work, football is my other obsession\. I analyse it the same way I analyse products: patterns, systems, and why things break down under pressure\. Dream big\. Work hard\. Stay focused\. Be surrounded by good people\.

## Location

Mumbai

## AI stack

antigravity

codex

## Work experience

AI Product Manager at Unilever, Sep 2023 \- Present · 3 yrs, Bengaluru, Karnataka, India, • AI Product \- Recommendation Engine : Built and productionised a neural\-network recommendation engine delivering 150M\+ AI\-driven product recommendations across 2\.5M\+ outlets in 21 countries\. Owned the full AI product lifecycle from defining model inputs and evaluation criteria to measuring business outcomes in revenue terms along with model accuracy\. Stack: Azure Data Lake, collaborative filtering, RFM signals, seasonality modelling\. Drove 5% to 8% uplift in sales hit rate\. • AI Product \- Demand Prediction: Extended the recommendation engine with an ML\-driven demand prediction layer that forecasts the right quantity of each product a retail outlet needs monthly, replacing static formula\-based logic with a data\-driven framework using purchase history patterns, seasonality signals, and demand indicators\. Improved prediction accuracy by moving 16%\+ more outlets into the exact demand bucket, reduced under\-stocking risk by 39%, and increased recommendation value coverage from 35% to 74% of actual sales\. • B2B Commerce Platform & Last Mile Delivery \- Owned the product vision and strategy for a global B2B Commerce platform \(Distributor Management System\) handling the end\-to\-end Order to Fulfilment cycle for distributors across South Asia and Southeast Asia, built on a scalable GCP and Azure micro\-service architecture, live in 8\+ SA/SEA markets integrated with logistics, warehouse, and field sales systems\.

Unilever Future Leaders Programme at Unilever, Jun 2022 \- Aug 2023 · 1 yr 3 mos, • Owned market expansion and growth roadmap for Ludhiana, partnering with distributor teams to strengthen retail footprint and network coverage; drove 110%\+ target achievement for distributor teams and key account executives; defined a 3\-year roadmap to 2x GMV through distributor enablement, targeted network expansion, and data\-driven outlet prioritisation\. • Led cross\-market supply chain benchmarking across 4 countries, assessing end\-to\-end logistics costs, depot operations, and last\-mile distribution efficiency; translated benchmarking insights into structural cost\-saving strategies and network optimisation recommendations adopted across markets\.

Unilever Leadership Internship Programme at Unilever, Sep 2021 \- Oct 2021 · 2 mos, • Launched and scaled a production\-grade AI voice ordering assistant on the Shikhar B2B app, handling real transactional intent \(order placement\) in local languages for non\-digital\-native users\. Drove significant MAU growth, feature activation, and order frequency improvements through structured funnel drop\-off analysis and A/B testing, closing the loop between product and data science from feature specification to business KPI measurement\. • Designed and productionised a next\-generation low\-code omnichannel chatbot platform enabling multi\-channel conversational AI deployment across WhatsApp, app, and web without per\-channel engineering effort, reducing time to deploy new conversation flows from weeks to days\. • Owned product delivery of a Virtual Customer Support AI assistant for B2B e\-commerce, handling inbound support queries through NLP\-based intent classification and automated resolution workflows, reducing reliance on human agents for tier\-1 queries\.

Full Stack Product Developer at Egregore Labs \- Robana & Romulus, May 2019 \- Jul 2020 · 1 yr 3 mos, Delhi, India, • Owned end\-to\-end build of an equity research and investment analytics platform for a global investment bank delivering structured data pipelines, research workflows, and analytics dashboards with 100% on\-time launches across all modules • Built a Data Enrichment and intelligent T&E expense auditing system using automated anomaly detection and policy\-violation flagging to replace manual audit cycles; achieved 80% reduction in audit costs • Designed and productionised an end\-to\-end document processing pipeline using automation to extract, classify, and route financial documents, eliminating manual handling at scale • Built an integrated financial research collaboration platform that unified fragmented data sources and research workflows into a single system eliminated information silos by 70% across analyst teams • Architected a modular data access layer decoupling business logic from data retrieval, enabling reusable, scalable components across the platform

Software Product Developer ll at XLPAT, Jul 2018 \- Apr 2019 · 10 mos, Sahibzada Ajit Singh Nagar, Punjab, India, • Built the world's first automated commercialised novelty checker \- an AI\-powered prior art search system scanning 10 crore\+ patent records and 20 lakh scholarly works in under 2 minutes, replacing weeks of manual attorney research with automated ML\-driven eligibility assessment • Owned an IP monetisation module that used semantic similarity models to surface licensing and commercialisation opportunities from a corpus of 10 crore\+ patents contributed approximately 30% of business revenue • Developed a blockchain\-based IP solution for IPBC Global 2018, applying distributed ledger technology to patent provenance and ownership verification

Software Product Developer at XLPAT, Jun 2017 \- Jun 2018 · 1 yr 1 mo, Mohali, Punjab, India, • Built a semantic search and competitive intelligence engine for patent discovery using NLP\-based similarity matching, achieving 91% precision enabling IP analysts to surface prior art and competitive filings in seconds rather than days • Led migration from LAMP to MEAN stack to support real\-time search and analytics at scale across a corpus of tens of crore patent records

Patent Analyst at TT Consultants, Jun 2017 \- Jun 2017 · 1 mo, Mohali, Punjab, India, • Executed various kinds of projects including patentability, Infringement • Received Appreciation for Intel Patentability Search

## Education

PGDM, Information Management, SPJIMR SP Jain Institute of Management & Research

Bachelor of Engineering \- BE, Electronics & Electrical Communication Engineering, Punjab Engineering College

[View the original profile](https://tal.club/meet/kamal-gupta)

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