Description

This curriculum spans the design and operational execution of a segmented supply chain, comparable in scope to a multi-workshop operational redesign program, covering strategy definition, cross-functional process alignment, system configuration, and governance across customer, product, and geographic segments.

Module 1: Defining Segmentation Strategy Based on Customer and Product Tiers

Select which customer segments justify dedicated service policies based on revenue contribution, margin, and strategic importance.
Determine the number of product tiers using ABC analysis combined with demand variability and profitability metrics.
Decide whether to segment by customer, product, geography, or a hybrid model based on operational complexity and system capabilities.
Implement service level differentiation (e.g., lead time, fill rate) per segment and align with sales and marketing teams on enforceability.
Establish criteria for dynamic reclassification of segments, including thresholds for tier upgrades or downgrades.
Integrate segmentation rules into ERP master data management to ensure consistent classification across planning and execution systems.
Evaluate the impact of segmentation on forecasting accuracy and adjust statistical models per segment accordingly.
Define ownership of segment performance metrics between supply chain, sales, and finance functions.

Module 2: Aligning Demand Planning with Segment-Specific Forecasting

Configure forecasting models in the demand planning system to vary by segment (e.g., exponential smoothing for stable A-items, collaborative forecasting for volatile C-items).
Allocate forecasting effort and statistical override authority based on segment criticality and forecastability.
Implement different forecast consensus meeting frequencies per segment (e.g., weekly for A, quarterly for C).
Adjust safety stock parameters dynamically based on forecast error trends observed within each segment.
Integrate point-of-sale data selectively for high-priority segments where demand signal responsiveness is critical.
Define data granularity requirements (e.g., SKU vs. product family) for forecasting based on segment volatility and volume.
Set thresholds for automatic forecast exception alerts by segment to prioritize planner attention.
Coordinate with sales leadership to validate forecast assumptions for strategic customer segments.

Module 3: Segment-Driven Inventory Optimization and Deployment

Set target inventory turns and service levels independently for each product-customer segment.
Deploy safety stock models (e.g., multi-echelon optimization) selectively for high-margin or high-service segments.
Decide on push vs. pull inventory policies based on segment demand predictability and replenishment lead times.
Configure warehouse slotting strategies to prioritize fast-moving or high-service segments in optimal storage locations.
Implement differentiated order batching and release rules by segment in warehouse management systems.
Allocate shared warehouse capacity (e.g., refrigerated space) based on segment profitability and service commitments.
Adjust reorder point and order quantity logic in ERP for segments with distinct demand patterns.
Monitor inventory aging and obsolescence risk by segment and trigger proactive actions for low-turnover items.

Module 4: Tailored Procurement and Supplier Management by Segment

Assign supplier performance scorecards with weighting adjusted by segment (e.g., on-time delivery more critical for A-items).
Negotiate contract terms (e.g., MOQ, lead time, penalties) aligned with segment service requirements.
Decide which segments justify dual sourcing or strategic inventory buffers based on supply risk and criticality.
Implement vendor-managed inventory (VMI) selectively for high-volume, stable segments.
Configure purchase requisition approval workflows with thresholds based on segment value and risk.
Assign procurement ownership (e.g., strategic buyer vs. transactional buyer) based on segment complexity and spend.
Integrate supplier lead time variability data into segment-specific replenishment models.
Conduct supplier development initiatives only for suppliers serving high-impact segments.

Module 5: Designing Segment-Optimized Logistics and Fulfillment Networks

Assign fulfillment paths (e.g., direct ship, cross-dock, regional DC) based on segment service level and cost targets.
Configure order promising logic in ATP systems to reflect segment-specific lead times and availability rules.
Allocate transportation modes and carriers by segment (e.g., LTL for low-volume, FTL for high-volume).
Implement dynamic routing rules in TMS to prioritize high-service segments during capacity constraints.
Design network topology (e.g., number and location of DCs) to support differentiated service for key segments.
Apply freight cost allocation methodologies that reflect actual segment usage and profitability impact.
Set delivery frequency and time windows based on segment requirements and cost-to-serve analysis.
Integrate last-mile delivery options (e.g., same-day, scheduled) selectively for premium customer segments.

Module 6: Financial Integration and Cost-to-Serve Analysis by Segment

Map end-to-end supply chain costs (procurement, warehousing, transportation) to segments using activity-based costing.
Implement segment-level P&L reporting to assess true profitability beyond revenue.
Decide whether to absorb or pass through logistics surcharges based on segment pricing power and contract terms.
Adjust pricing models or service fees for segments where cost-to-serve exceeds target thresholds.
Integrate cost-to-serve data into sales incentive plans to align behavior with profitability goals.
Use segment margin analysis to justify investment in automation or network changes.
Define transfer pricing rules between divisions that reflect segment-specific logistics and inventory costs.
Conduct quarterly profitability reviews per segment and trigger corrective actions for underperforming segments.

Module 7: Technology Enablement and System Configuration for Segmentation

Configure ERP master data fields to store segment classifications for customers, products, and SKUs.
Develop segmentation logic in advanced planning systems (APS) to drive dynamic planning parameters.
Implement business rules in order management systems to enforce segment-specific fulfillment policies.
Design data pipelines to synchronize segment definitions across ERP, CRM, and supply chain platforms.
Build segment-specific dashboards in BI tools with role-based access for supply chain, sales, and finance.
Automate segment reclassification workflows using predefined KPI thresholds and approval steps.
Integrate machine learning models to recommend segment adjustments based on behavioral and performance data.
Validate system configurations during upgrades to ensure segmentation logic remains intact.

Module 8: Governance, Performance Management, and Continuous Improvement

Establish a cross-functional steering committee to review segment performance and approve classification changes.
Define KPIs per segment (e.g., OTIF, inventory turns, cost-to-serve) and set targets with accountability.
Implement a formal change control process for modifying segment definitions or service policies.
Conduct root cause analysis when segment performance deviates from targets and assign corrective actions.
Align incentive compensation for supply chain and sales teams with segment profitability outcomes.
Perform annual segmentation health checks to assess relevance and eliminate redundant or underperforming segments.
Document escalation paths for service level breaches by segment and define resolution protocols.
Integrate voice-of-customer feedback into segment service design for high-strategy accounts.