Bishwajeet Jha

Central Planning Fulfillment & SCM Design

• • Spearheaded Auto Replenishment System across 25,000+ SKUs, releasing $15+ Mil working capital and reducing DOH by 31 days.

• • Integrated SAP APO-led forecasting tools to improve forecast accuracy by 37% and reduce stock-outs by 17%.

• • Launched ML-based shelf-life prioritization reducing perishables write-offs by 22%.

• • Implemented performance monitoring for Vendor Fill Rates and Report Automation, with bi-weekly reviews and weekly reporting of vendor performance through scorecards, leading to an 18% fill rate improvement.

• • Led seamless integration of the Auto ARS with a vendor portal, achieving 100% vendor adoption and an 85% reduction in manual PO interventions, demonstrating successful third-party tool integration and operational efficiency.

• • Improved Returns handling by 30% and Inventory health by 12% across FCs by formulating processes for highlighting low shelf-life items and Vendor Returns.

• • Led the inventory capacity optimization project across FCs, improving IB utilization from 61% to 86% using AI-based slotting logic.

• • Developed and institutionalized performance monitoring and reporting through daily automated inventory health scorecards, adopted across 100+ fulfillment centers to drive exception-based planning and significantly enhance in-store product availability.

• • Provided strategic oversight for end-to-end inventory design, planning, and replenishment across the entire Reliance Retail business, focusing on delivery excellence in core supply chain operations, including inventory returns, quality, and FC operations.

• • Designed AI-led stock projection engine and auto reorder logic boosting fill rate from 67% to 82% while reducing holding costs.

• • Deployed vendor portal achieving 100% digitization of procurement processes; and improved supplier on-time performance by 37%.

• • Partnered with engineering and data science teams to design an AI-led stock projection engine, enhancing demand forecasting accuracy by incorporating lead time variability, sales patterns, and vendor responsiveness.

• • Developed and implemented service level-based inventory policies that optimized GMV with lower working capital, directly raising platform fill rates from 67% to 82% through algorithmic stock pooling and automated reorder logic, showcasing strong replenishment efficiency.

• • Deployed auto PO triggers and demand consolidation for long-tail SKUs to improve forecast reliability and reduce supplier dependencies.

• • Deployed a new replenishment module and ran weekly stock cycles across 16 FRU categories, boosting supply-chain delivery KPIs

• • Applied demand clustering and AI-driven replenishment to tail brands, raising on-shelf availability by 20 % and trimming excess day-of-inv.

• • Implemented SKU velocity-based placement algorithms to improve warehouse pick-rate and reduce customer TAT by 1.5 days.

• • Managed Big Billion Days Inventory planning, designing inventory strategies to maximize sell-through during events within working capital.

• • Led a team focused on Instock Management, consistently achieving in-stock 90%+ targets through strategic planning

• • Implemented Imports/Long lead time SKUs Deconsole Construct to optimize DOH by 50% for the Televisions private label portfolio.

• • Set up an operation command center, monitoring inventory movement and supply health.

• • Reduced capacity waste and improve vendor experience to streamline supply chain processes for zero touch movement.

• • Led programs in cycle-time reduction and reverse logistics network for cost control.

• • Automated vendor scheduling, enhancing in-stock availability by 20% and costs by lowering man cost of 25 FTCs