Rohit Patil
Reliance Industries Limited || IIM Mumbai\'24 || NTPC || AIR 8 GATE\'21 (ME) || WCE, Sangli
- Role
- Integrated Business Planning Demand Planning and Digital Solutions Lead at Reliance Industries Limited
- Location
- Sangli, MH, IN
- LinkedIn followers
- 500 followers
About Rohit Patil
Project Manager | Supply Chain Automation | Industrial Engineering Enthusiast I am…
Experience
Integrated Business Planning Demand Planning and Digital Solutions Lead
Jun 2024 — Present · Navi Mumbai, IN
Led AOP planning with cross-functional teams, ensuring timely material availability & demand fulfillment • Planned RM/PM replenishment in SAP to meet production plan schedules while controlling E&O exposure • Participated in S & OP reviews to present supply constraints, risks, & mitigation plans for RM/PM portfolio • Executed inventory policy refresh cycles (SS, MOQ) in SAP, aligning with demand patterns to optimize stock • Identified ₹20 lpa overspend on polyester packing materials, optimized carton dim & packing configuration • Built statistical demand forecasts (12M horizon) using SAP MM/MRP, aligning with market signals • Created rolling production plans & tracked inventory KPIs using Excel VBA to avoid potential stockouts • Performed RCA on inventory deviations, implementing CI loops, improving forecast accuracy & reducing stockouts • Developed scenario dashboards (Power BI, VBA) integrating SAP to simulate inventory & supply planning KPIs • Set up an entirely new RelWood warehouse in Kolkata based on ROI models and regional demand projections • Collaborated with procurement, QA, & production to ensure timely GRN, quality checks, & dispatch efficiency • Developed VBA-driven reporting tools for daily sales exception monitoring and trend-based forecasting inputs • Delivered ₹70 Cr. automation project, tracking progress via Excel dashboards & streamlining workforce metrics • Applied Agile methodology to structure pilot phases of automation implementation, with regular sprint reviews • Executed sensitivity analysis & scenario modelling to assess impact of supply disruptions on inventory targets
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