Description

This curriculum spans the design and coordination of inventory management practices across planning, procurement, and operations, comparable in scope to a multi-workshop operational excellence initiative embedded within a global supply chain transformation.

Module 1: Demand Forecasting and Planning Integration

Selecting between statistical forecasting models (e.g., exponential smoothing, ARIMA) based on product lifecycle stage and data availability.
Reconciling top-down strategic volume targets with bottom-up SKU-level demand signals in S&OP processes.
Implementing forecast error tracking by product family to adjust safety stock parameters dynamically.
Establishing escalation protocols for outlier demand events (e.g., promotions, supply disruptions) that exceed forecast tolerance bands.
Integrating point-of-sale data from key customers into forecasting systems while managing data latency and quality issues.
Defining roles for demand planners, sales, and supply chain in consensus forecasting meetings to reduce bias and improve accountability.

Module 2: Inventory Classification and Segmentation

Applying ABC/XYZ analysis using both value and demand variability to prioritize inventory management efforts.
Adjusting classification thresholds annually based on shifts in product mix and margin contribution.
Designing differentiated service level targets (e.g., 98% for A-items, 90% for C-items) aligned with business impact.
Managing exceptions for high-criticality low-volume items that fall into C-class but require A-class attention.
Documenting segmentation rules in master data management systems to ensure consistency across regions.
Aligning procurement, warehousing, and transportation policies with inventory segmentation (e.g., replenishment frequency, review cycles).

Module 3: Safety Stock Optimization and Replenishment Design

Calculating safety stock using lead time variability and service level requirements, not just historical averages.
Choosing between periodic and continuous review systems based on supplier reliability and order frequency constraints.
Adjusting safety stock levels during product ramp-up or phase-out when demand is non-stationary.
Validating safety stock models against actual stockout frequency and excess inventory write-offs.
Coordinating safety stock placement across echelons (e.g., regional DCs vs. central warehouse) to avoid duplication.
Revising replenishment parameters quarterly using updated lead time and demand variance data.

Module 4: Multi-Echelon Inventory Network Strategy

Determining optimal number and location of distribution centers based on service level requirements and transportation cost trade-offs.
Allocating inventory responsibilities between central hubs and forward stocking locations using cost-to-serve modeling.
Implementing push-pull boundaries in the supply chain to balance responsiveness and efficiency.
Managing inter-DC transfer policies to prevent reactive borrowing and systemic stock imbalances.
Designing inventory visibility systems that consolidate stock positions across all nodes in real time.
Establishing transfer pricing mechanisms to incentivize optimal inventory placement across business units.

Module 5: Inventory Performance Measurement and KPI Governance

Selecting between weeks of supply, inventory turns, and GMROI as primary performance metrics based on business model.
Defining clear ownership for inventory KPIs at site, regional, and global levels to drive accountability.
Adjusting inventory performance targets for seasonality and new product introductions to avoid misleading variances.
Using aged inventory reports to trigger disposal or redistribution decisions before obsolescence occurs.
Integrating inventory accuracy (e.g., cycle count results) into performance dashboards for warehouse management.
Conducting monthly inventory health reviews with cross-functional stakeholders to address root causes of excess or shortage.

Module 6: Technology Enablement and System Configuration

Configuring ERP systems to enforce minimum, maximum, and reorder point logic based on segmentation rules.
Implementing cycle counting schedules that prioritize high-value and high-movement SKUs without disrupting operations.
Integrating warehouse management system (WMS) data with planning tools to improve on-hand visibility and forecast accuracy.
Validating system-generated replenishment orders against known constraints (e.g., MOQs, truckload economics).
Designing user roles and approval workflows for manual inventory adjustments to prevent unauthorized changes.
Automating data feeds from suppliers for in-transit inventory visibility and improved lead time management.

Module 7: Obsolescence Prevention and Excess Inventory Management

Establishing cross-functional review boards to evaluate slow-moving and excess inventory monthly.
Implementing SKU rationalization processes that include financial impact analysis and customer notification plans.
Creating disposition paths (e.g., liquidation, rework, donation) with pre-approved accounting treatments.
Linking new product introduction (NPI) processes to end-of-life (EOL) planning to manage transition inventory.
Setting inventory aging thresholds that trigger automatic alerts and action plans (e.g., 12+ months of supply).
Negotiating supplier return agreements for consignment or vendor-managed inventory to reduce obsolescence risk.

Module 8: Cross-Functional Alignment and Change Management

Defining inventory ownership between procurement, supply planning, and operations to eliminate accountability gaps.
Aligning sales incentive structures with inventory goals to prevent over-promising and excess builds.
Conducting joint business planning sessions with key suppliers to synchronize inventory strategies.
Managing resistance to inventory reduction initiatives by demonstrating working capital impact with pilot data.
Updating standard operating procedures (SOPs) after process changes to ensure consistent execution.
Training warehouse supervisors on the operational impact of planning decisions to improve compliance and feedback loops.