Description

This curriculum spans the design, execution, and refinement of service level agreements across a segmented supply chain, comparable in scope to a multi-workshop operational redesign program involving sales, logistics, planning, and IT functions.

Module 1: Defining Service Level Objectives by Customer Segment

Select which customer tiers will receive guaranteed next-day delivery versus standard shipping based on contract value and strategic importance.
Determine minimum order fill rates for key accounts, balancing service expectations with inventory carrying costs.
Establish response time SLAs for customer service inquiries across regions, factoring in local labor availability and language requirements.
Decide whether high-priority segments receive proactive stock allocation during supply shortages or remain on standard allocation logic.
Define acceptable variance thresholds for promised versus actual delivery dates, triggering escalation protocols when exceeded.
Map service level commitments to contractual penalties or rebates, ensuring finance and legal teams approve exposure limits.
Integrate customer segmentation criteria with CRM data to automate SLA application in order management systems.
Assess the impact of offering differentiated returns processing speed across segments on reverse logistics capacity.

Module 2: Inventory Allocation and Safety Stock Strategies

Assign safety stock levels per SKU by customer segment, prioritizing high-margin segments during constrained supply.
Configure warehouse management system rules to reserve buffer stock for premium customers during peak demand periods.
Decide whether to use dynamic or static safety stock models based on demand volatility across segments.
Implement inventory pooling rules that allow cross-segment borrowing only after service level breaches are imminent.
Set re-order point triggers differently for SKUs serving time-critical versus cost-sensitive segments.
Balance centralized versus decentralized inventory positioning to meet regional SLAs without inflating total stock.
Adjust ABC classification logic to reflect segment-based service priorities rather than pure sales volume.
Monitor stockout frequency by segment and trigger replenishment rule overrides when SLAs are at risk.

Module 3: Transportation Network Design for Tiered Delivery

Select dedicated fleet versus third-party carriers for premium segments based on reliability and cost trade-offs.
Design multi-tiered delivery zones with different promised transit times, factoring in last-mile infrastructure constraints.
Implement dynamic routing logic that prioritizes high-tier orders during carrier capacity shortages.
Decide whether to absorb expedited freight costs for SLA-critical shipments or pass them to the customer.
Establish minimum on-time performance thresholds for carriers serving each segment, with contractual enforcement mechanisms.
Configure transportation management system (TMS) rules to auto-select service level based on customer segment and order value.
Assess the feasibility of using regional distribution centers to meet same-day delivery SLAs in urban clusters.
Integrate real-time shipment tracking data into customer portals to align visibility with promised service levels.

Module 4: Demand Planning and Forecasting by Segment

Develop separate demand forecasts for each customer segment using historical order patterns and seasonality.
Assign different forecast accuracy targets per segment, accepting lower precision for low-priority customers.
Integrate promotional calendars for key accounts into forecasting models to anticipate volume spikes.
Decide whether to use statistical models, judgmental overrides, or collaborative planning for high-value segments.
Align forecast granularity (daily vs. weekly) with fulfillment cycle times for each service tier.
Implement exception management rules that flag forecast deviations threatening SLA compliance.
Share segment-specific forecasts with suppliers under NDAs to improve upstream responsiveness.
Adjust forecast safety factors based on segment-specific tolerance for stockouts versus overstock.

Module 5: Order Management and Fulfillment Workflows

Configure order promising logic in ERP to reflect actual warehouse capacity and current backlog by segment.
Set order cutoff times differently for standard versus premium customers based on fulfillment SLAs.
Implement automated order routing rules that prioritize fulfillment center selection by promised delivery date.
Define escalation paths for order delays, including manual intervention thresholds for high-value customers.
Integrate real-time inventory visibility across channels to support accurate available-to-promise (ATP) responses.
Establish batch processing windows for low-tier orders to optimize warehouse throughput.
Design exception handling procedures for split shipments, ensuring communication aligns with SLA commitments.
Configure order status update frequency in customer portals based on segment service level agreements.

Module 6: Performance Measurement and SLA Monitoring

Define KPIs such as on-time in-full (OTIF), order cycle time, and fill rate at the segment level.
Implement automated dashboards that track SLA performance by customer, region, and product category.
Set threshold levels for KPI deviations that trigger root cause analysis and corrective action plans.
Decide whether to report SLA performance monthly, quarterly, or in real-time based on customer contracts.
Integrate SLA performance data into supplier scorecards for third-party logistics providers.
Conduct quarterly business reviews with key accounts using SLA compliance data as a discussion anchor.
Adjust performance targets annually based on operational capability improvements and market benchmarks.
Validate data sources feeding SLA reports to ensure accuracy in chargebacks or rebate calculations.

Module 7: Governance and Cross-Functional Alignment

Establish a service level governance committee with representatives from sales, operations, and finance.
Define escalation protocols for SLA breaches, including notification timelines and remediation steps.
Align sales incentive plans with SLA achievement to prevent over-promising by account managers.
Implement change control processes for modifying SLAs, requiring impact assessment across functions.
Document SLA terms in master service agreements, ensuring legal enforceability and clarity.
Conduct joint scenario planning sessions to evaluate impact of demand surges on SLA feasibility.
Assign ownership for SLA compliance to specific roles in operations and customer service.
Integrate SLA considerations into new product launch planning to avoid unintended service disruptions.

Module 8: Technology Enablers and System Configuration

Configure ERP customer master data to include service level tier and associated fulfillment rules.
Customize warehouse management system (WMS) to support priority picking and packing for high-tier orders.
Integrate TMS with order management to enforce carrier selection based on promised delivery SLAs.
Develop APIs to synchronize SLA terms between CRM, ERP, and logistics execution platforms.
Implement event management tools to detect and alert on potential SLA violations in real time.
Design data models that capture SLA performance at transaction level for audit and analysis.
Configure planning systems to simulate impact of SLA changes on inventory and capacity requirements.
Ensure system-generated SLA reports can be segmented by customer, product, and time period for root cause analysis.

Module 9: Continuous Improvement and SLA Optimization

Conduct root cause analysis on recurring SLA breaches, focusing on process, system, or data gaps.
Benchmark SLA performance against industry peers to identify improvement opportunities.
Run pilot programs to test relaxed SLAs for low-tier customers and measure cost impact.
Optimize safety stock levels using service level attainment data, reducing excess while protecting key segments.
Re-evaluate customer segmentation annually based on profitability, volume, and strategic alignment.
Implement A/B testing for fulfillment workflows to identify configurations that improve SLA compliance.
Negotiate revised SLAs with customers based on demonstrated performance and operational realities.
Update SLA design in response to network changes such as new DC openings or carrier transitions.