Hirendrasinh Chavada
Supply Chain Analyst | Driving Cost Savings, Process Optimization & Data-Driven Decisions Across Global Networks
- Role
- Supply Chain Analyst at Amazon
- Location
- Williamstown, NJ, US
- LinkedIn followers
- 500 followers
About Hirendrasinh Chavada
Supply Chain Analyst with 4+ years of experience in demand forecasting, inventory optimization, S & OP, and KPI tracking. Expert in SAP S/4HANA, Oracle SCM Cloud, NetSuite ERP, Kinaxis RapidResponse, Advanced Excel, SQL, Power BI, and Tableau, skilled in data-driven decision-making and actionable reporting. Proficient in global procurement, logistics planning, order management, and WMS/TMS operations, including RFID and IoT-enabled platforms. Strong knowledge in Lean Six Sigma, Kaizen, JIT, 5S, and root cause analysis, Skilled in identifying inefficiencies and driving continuous improvement. Expert in cloud-based supply chain management (AWS, Azure Synapse), streamlined operations, reduced costs, and improved operational efficiency across complex supply networks.
Experience
Supply Chain Analyst
May 2024 — Present · NY, US
Implemented automated dashboards in Power BI and Excel VBA to track inventory turns, order cycle times, and cost-to-serve, enabling real-time monitoring and proactive issue resolution across multiple fulfillment centers. Optimized inventory planning using ABC/XYZ classification, EOQ models, and safety stock strategies in NetSuite ERP, reducing excess inventory by thousands of units while maintaining product availability for high-demand SKUs. Streamlined order management through integration of WMS and TMS systems, improving on-time fulfillment for thousands of daily orders and enhancing end-to-end visibility of shipments across regional distribution centers. Led RFID-based SKU tracking implementation across multiple fulfillment centers, improving inventory traceability, reducing stock discrepancies, and generating cost savings of over $1.5M annually. Enhanced demand forecasting using SAP IBP, NetSuite ERP, and Advanced Excel models, enabling accurate planning for seasonal peaks such as Prime Day and minimizing stockouts during high-volume periods. Reduced dock-to-stock processing time by redesigning receiving and put-away workflows, identifying bottlenecks, and implementing Lean Six Sigma improvements, leading to faster order availability and improved warehouse efficiency. Improved S & OP alignment by integrating store demand signals, transportation schedules, and supplier purchase orders, facilitating better cross-functional collaboration and smoother replenishment planning across fulfillment networks. Collaborated with cross-functional teams including procurement, logistics, finance, and operations to standardize workflows, implement process improvements, and support scalable, data-driven supply chain operations across national and global networks.
Education
Hofstra University
Master's Degree, Sustainability Studies
2023
Gujarat University
Bachelor's Degree, Rules Studies
2019 — 2022
Hofstra University
Ma in sustainability, Sustainability Studies
Gujarat University
Bachelors and rural study, Environmental Studies
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