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More>Leo Panda
Demand and Inventory Planning Manager with 9+ years of experience leading forecasting, inventory optimization, and S&OP in manufacturing and distribution environments. Proven record improving forecast accuracy, fill rate, and working capital through data-driven planning, cross-functional leadership, and ERP-based inventory controls. Strong background in SAP, Power BI, KPI governance, and service-level performance.
Freed $6.1M in working capital over 18 months by redesigning inventory governance, aging review cadence, and item lifecycle controls across multiple product families.
Standardized planning KPIs and review processes across five warehouse locations, enabling leadership to compare service, bias, and turns consistently each month.
Mentored and upskilled four planners into expanded responsibilities, improving ownership of forecast reviews, exception management, and executive readiness.
- Led monthly S&OP cycle for a $180M industrial products portfolio, improving forecast accuracy from 72% to 84% and aligning supply plans across three distribution centers.
- Built SKU-location inventory segmentation and safety stock parameters in SAP IBP, reducing backorders 31% while lowering excess and obsolete inventory by $2.4M.
- Partnered with sales, procurement, and plant operations to manage constrained supply, raising customer fill rate to 97.6% during two consecutive peak seasons.
- Developed Power BI dashboards for forecast bias, inventory turns, and service levels, cutting manual reporting time 12 hours weekly for planning leadership.
- Managed replenishment planning for 4,500 SKUs across regional warehouses, improving on-time availability by 9 points and increasing inventory turns from 5.1 to 6.4.
- Analyzed demand variability, supplier lead times, and MOQ constraints to reset reorder policies, reducing expedited freight spend by 28% year over year.
- Coordinated cycle count reviews and root-cause actions with warehouse and finance teams, improving inventory record accuracy from 94.8% to 98.7%.
- Supported new product launches with demand assumptions, inventory ramps, and deployment plans, achieving 96% first-quarter service levels without material write-offs.
Focused on supply chain operations, forecasting, inventory management, and business analytics.
Production and inventory management credential.
End-to-end supply chain management credential.
Leo Panda
Demand and Inventory Planning Manager with 9+ years of experience leading forecasting, inventory optimization, and S&OP in manufacturing and distribution environments. Proven record improving forecast accuracy, fill rate, and working capital through data-driven planning, cross-functional leadership, and ERP-based inventory controls. Strong background in SAP, Power BI, KPI governance, and service-level performance.
Freed $6.1M in working capital over 18 months by redesigning inventory governance, aging review cadence, and item lifecycle controls across multiple product families.
Standardized planning KPIs and review processes across five warehouse locations, enabling leadership to compare service, bias, and turns consistently each month.
Mentored and upskilled four planners into expanded responsibilities, improving ownership of forecast reviews, exception management, and executive readiness.
- Led monthly S&OP cycle for a $180M industrial products portfolio, improving forecast accuracy from 72% to 84% and aligning supply plans across three distribution centers.
- Built SKU-location inventory segmentation and safety stock parameters in SAP IBP, reducing backorders 31% while lowering excess and obsolete inventory by $2.4M.
- Partnered with sales, procurement, and plant operations to manage constrained supply, raising customer fill rate to 97.6% during two consecutive peak seasons.
- Developed Power BI dashboards for forecast bias, inventory turns, and service levels, cutting manual reporting time 12 hours weekly for planning leadership.
- Managed replenishment planning for 4,500 SKUs across regional warehouses, improving on-time availability by 9 points and increasing inventory turns from 5.1 to 6.4.
- Analyzed demand variability, supplier lead times, and MOQ constraints to reset reorder policies, reducing expedited freight spend by 28% year over year.
- Coordinated cycle count reviews and root-cause actions with warehouse and finance teams, improving inventory record accuracy from 94.8% to 98.7%.
- Supported new product launches with demand assumptions, inventory ramps, and deployment plans, achieving 96% first-quarter service levels without material write-offs.
Focused on supply chain operations, forecasting, inventory management, and business analytics.
Production and inventory management credential.
End-to-end supply chain management credential.
