Achievements:
Container Scheduling Automation: Designed and implemented a Python-based scheduling solution that analyzed delivery dates, container contents, priorities, and detention/storage considerations to recommend required container movements, replacing a manual planning process and reducing scheduling effort by 80% while supporting cost reduction.
Warehouse Productivity: Designed and implemented a productivity analytics solution covering inbound, outbound, inventory, claims, and returns processes. Developed Python/SQL data transformations and calculations to measure employee productivity, identify operational bottlenecks, and provide supervisors with actionable insights for performance improvement, feedback, and training, contributing to a 20% improvement in operational efficiency.
Claims Analytics: Developed a claims dashboard using operational data to identify error patterns across picking and packing processes, enabling supervisors and management to identify root causes, target corrective actions, and improve employee training. The solution contributed to a 30% reduction in worker-related errors, measured through the claims ratio for incorrect and short shipments to dealers.
Warehouse Location Optimization: Designed and implemented a data-driven warehouse location optimization tool for a 500,000 sq. ft. facility containing more than 100,000 parts across approximately 80,000 locations. Analyzed part demand and velocity to optimize product placement, reducing picking time, improving productivity, and minimizing unnecessary material handling.
Referral Shipment Visibility: Designed and implemented a shipment visibility report for 5 referral loads per week, serving 455 dealers. Built automated ETA calculations with approximately 95% accuracy, providing stakeholders with shipment status and expected delivery visibility through a reporting capability that did not previously exist.
Daily Operations Reporting: Developed an automated daily operations report used by 2 warehouse supervisors to monitor workload and identify resource requirements across operations. Replaced a - manual reporting process that previously required approximately 2 hours, automating the process and providing supervisors with timely operational visibility.
Operations Forecasting: Developed forecasting analysis used by management to anticipate operational requirements and maintain logistics and productivity KPIs within established targets, supporting proactive resource and performance management.
Annual Budget Forecasting: Developed budget analysis using carrier rates and shipment forecasts to estimate the following year's transportation requirements and expected costs, providing management with data to support annual budgeting and planning.
