Retail Supply Chain | Demand Planning & Inventory | Data & AI Product Manager | SAP CAR UDF | Forecasting & Replenishment | Agentic AI | IIT Kharagpur


Bengaluru, Karnataka

Bengaluru, Karnataka

Mumbai Area, India
New Delhi Area, India




Bachelor of Engineering - BE, Bachelors in Engineering
Savitribai Phule Pune University
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Download Tal BossRetail Supply Chain | Demand Planning & Inventory | Data & AI Product Manager | SAP CAR UDF | Forecasting & Replenishment | Agentic AI | IIT Kharagpur
I’m a Product and Solution professional with 10+ years of experience in Retail and Supply Chain, specializing in Forecasting, Replenishment, Procurement and Inventory Management. My experience spans SAP Forecasting & Replenishment, SAP CAR/UDF, MM and SD, giving me a strong understanding of how large-scale retail supply chains operate and the challenges faced by planners, merchants and operations teams. I’m passionate about the intersection of Domain Expertise, Product Thinking and AI. I translate complex retail and supply chain problems into scalable products and solutions, combining functional knowledge with Artificial Intelligence, Generative AI, Agentic AI and Business Analytics to improve efficiency, decision accuracy and business value. Some of the AI products I’ve led include: FIDORA | Forecast Intelligence & Diagnostics An Agentic AI solution that automates forecast analysis, root cause diagnosis and business recommendations. It reduces manual investigation from hours to minutes, helping planners focus on exceptions and high-value decisions while supporting better availability, lower excess inventory and improved working capital. Rebate Genie | AI-powered Rebate Intelligence A Generative AI product that helps merchants maximize supplier rebates by identifying missed opportunities, improving vendor negotiations and generating data-driven commercial insights. It supports stronger supplier performance management and increased rebate realization. ARGUS | Conversational Analytics A Natural Language-to-SQL solution that connects with enterprise data lakes and enables users to generate insights on revenue, sales, margins and other KPIs through natural-language questions. ARGUS reduces dependency on technical teams and enables faster, data-driven decisions. Across these products, my goal is not only to automate tasks, but also to improve the quality, speed and consistency of business decisions. By combining AI with trusted enterprise data and domain expertise, these solutions help organizations reduce manual effort, improve productivity, identify revenue opportunities and optimize inventory. My focus is on building products where AI augments deep domain expertise, rather than applying AI for the sake of AI.
Mumbai
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Bachelor of Engineering - BE, Bachelors in Engineering, Savitribai Phule Pune University