Soham DAS

Adaptable supply chain management professional with 3.5 years of work experience in SAP APO system maintenance, and a track record in spare-parts demand solutions, seeking to apply evolving SCM knowledge. I will provide targeted forecasting improvements, inventory optimization insights, and collaborative support to strengthen your supply chain planning capabilities.

SAP APO/IBP Consultant

From June 2022 to August 2025

ITC Infotech India Ltd. Kolkata, India

Scope: Production support & maintenance

Responsibilities:

• Optimized master data alignment across materials, locations, and production structures, improving planning accuracy and reducing master‑data–related exceptions by an estimated 15–20%, supporting high‑volume FMCG operations.
• Streamlined the release of statistical forecast outputs from Demand Planning to Supply Network Planning, ensuring timely propagation of demand signals and contributing to improved forecast adherence (+5–8%) and service level stability.
• Executed LLC (Low-Level Code) generation for heuristic-based planning, enabling faster BOM explosion and reducing planning runtime by 10–12%, critical for daily FMCG replenishment cycles.
• Designed, created, and activated integration models for seamless transfer of master and transactional data—including STRs, PDS, Planned Orders, Stock, Materials, and PPMs— between APO and ECC. This improved data synchronization and reduced integration failures by ~25%
• Executed TLB (Transport Load Builder) and verified the creation of Stock Transfer Orders (STOs) and reflected them in ECC.
• Monitored CIF errors using QRFC monitor and CCR analysis to remove inconsistencies daily.
• Facilitated creation of SNP planned orders, conversion of PPDS PPM to SNP PPM, and STOs.
• KPIs worked on:- OTIF (On‑Time In‑Full), inventory turns, Fair‑Share Distribution Efficiency, Forecast Accuracy.

Student Supply Chain Consultant (ISLI mission)

Since 2025 OEM Services Inc., Bordeaux, France

1. Management of spare parts (having high inventory holding & shortage costs, highly intermittent/sporadic demand).
2. Propose demand forecasting and stock requirements solutions for repairables & evaluate their performance (focus on Airbus A350, A380).