Anuj Patel (Cssgb) Email & Phone Number

Frisco, Texas, United States

Responsible for implementing & managing the Warehouse Control System (WCS), Warehouse Management System (WMS) and Integrations of various supply chain systems across multiple Warehouse facilities.Key Achievements:Integration Skills: Integrated WMS with Netsuite ERP, IPSY Eng. fulfillment, and WCS, achieving a 25% improvement in overall system efficiency.

New York, United States

Responsible for End-to-End project management of Warehouse Management system Software implementations across wide array of Wholesale and E-commerce clients.Stakeholder Collaboration:Orchestrated seamless communication among stakeholders, streamlining understanding of operational structures, processes, and requirements. Translated insights into recommended.

Bronx, NY

Responsible for Capacity management & Process Improvement Projects for E-commerce grocery delivery business Minimized cost by maximizing labor productivity via Routing, capacity management, and projects as well as spearheaded new transportation initiatives. Successfully completed project for customization of ‘Roadnet’ software to leverage dynamically.

Princeton, NJ, United States

• Responsible for managing databases to process returns through credit issuance. Developed new business processes to help prevent revenue leakage introducing cost savings for the organization.
• Improved efficiency in returns process by developing KPIs. Introduced a Supply Chain Key Performance Index (KPI), specifically weekly & monthly reports, by creating dashboards in Qlik Sense & Excel
• Conducted qualitative analysis of financial data to create predictive forecasting. Created advanced analytics models for product returns in Excel using sales & returns data from previous years and customer order.
• Identified potential risks by validating trade and recall returns and performed trend analysis to reveal any potential gaps in the processes and further introducing root cause analysis
• Led efforts to improve processes with the goal of introducing and driving efficiency, cycle-time reduction, and cost control in the Reverse Logistics network
• Utilized Lean, Six Sigma, GEMBA and Project Management skills to collaborate and address various process improvement strategies with cross-functional teams

Greater New York City Area

• Responsible for introducing operational process improvement and new optimized process for cost reduction and productivity increase.
• Improved perfect delivery ratio to 15% by Conducting root cause analysis for late deliveries and developing standard operating procedure
• Led operational projects of developing operating plans for key clients such as Amazon, DHL, Homer Logistics etc. Set up and managed teams of Operations supervisor and delivery associates to coordinate the transfer of.
• Improved operational productivity to 10% by Designing automated scorecards on KPI index using Excel to monitor delivery performance
• Reduced higher Lead time of deliveries by conducting Motion & Time Studies of operational processes and removed bottlenecks
• Automated workforce scheduling leading to 20% savings in scheduling time by developing spreadsheet-based tools

India

• Conducted motion and time studies to enhance the efficiency of production by 26% by removing bottlenecks and ensure adherence to customer specifications.
• Created value stream maps and conducted capacity analysis for different processes and machines to evaluate the maximum output and reduce the Work in progress (WIP) levels by 25%.
• Performed Statistical analysis for estimation of cost of quality for material handling process. Developed methods for testing and evaluating the precision and productiveness of manufacturing processes and equipment.
• Worked cross-functionally to conduct cost-analysis and suggested budgeting plans according to demand. Weekly reported to seniors through Presentations. Managed Inventory at safety stock level for production part and.
• Supervised a team of 15 people; Analyzed and planned work force utilization, space requirement, workflow and design layout for maximum efficiency.
• Collected and analyzed daily sales data and provided insights of sales pattern using forecasting techniques using Excel.

Master Of Science - Ms, Industrial Engineering, 3.85

Bachelor'S Degree, Mechanical Engineering, 8.03 Cgpa