This curriculum reflects the scope typically addressed across a full consulting engagement or multi-phase internal transformation initiative.

Map supply chain capabilities to core business model drivers, identifying misalignments between operational structure and revenue strategy
Evaluate trade-offs between supply chain agility and cost efficiency in response to market volatility
Assess the impact of product lifecycle stages on supply chain design requirements
Determine appropriate levels of vertical integration based on strategic control needs and risk exposure
Analyze customer service expectations against delivery cost structures to define service-tier strategies
Identify constraints in organizational governance that limit cross-functional supply chain decision-making
Quantify opportunity costs of maintaining legacy supply chain infrastructure versus transformation investments
Develop decision criteria for offshoring, nearshoring, or reshoring based on total landed cost and risk profiles

Model multi-echelon distribution networks to optimize facility location, capacity, and throughput
Calculate trade-offs between transportation costs and inventory carrying costs across network nodes
Assess facility utilization rates and identify underperforming nodes for consolidation or closure
Simulate impact of demand shifts on warehouse footprint and transportation lanes
Integrate tax, labor, and regulatory factors into facility location decisions
Evaluate capital investment requirements for automation and scalability at distribution centers
Define service area boundaries based on delivery time commitments and transportation economics
Develop contingency plans for single points of failure in network topology

Compare forecast accuracy across product categories and time horizons using MAPE, bias, and tracking signals
Design demand sensing mechanisms that incorporate leading indicators and external data
Establish governance protocols for consensus forecasting across sales, marketing, and operations
Identify root causes of forecast error and implement corrective feedback loops
Balance statistical forecasting models with judgmental overrides and promotional planning
Define escalation paths for forecast exception management and inventory exposure
Implement demand shaping strategies where forecasting reliability is chronically low
Measure the cost of forecast inaccuracy on inventory obsolescence and stockout losses

Classify inventory by value, velocity, and criticality to assign differentiated stocking policies
Calculate optimal safety stock levels considering lead time variability and service level targets
Model the impact of inventory reduction initiatives on working capital and cash conversion cycle
Design buffer management strategies for high-risk, low-visibility supply segments
Identify excess and obsolete inventory through aging analysis and write-down triggers
Align inventory ownership models (consignment, VMI, title transfer points) with supplier relationships
Assess the financial impact of inventory pooling across business units or geographies
Develop inventory health dashboards with KPIs tied to turnover, carrying cost, and write-off rates

Conduct spend analysis to identify leverage categories and concentration risks
Map supplier criticality using dual factors of supply risk and financial impact
Develop exit strategies for single-source dependencies with no viable alternatives
Implement supplier performance scorecards with measurable SLAs and improvement triggers
Design contingency sourcing plans for geopolitical, climate, and logistical disruptions
Evaluate total cost of ownership beyond unit price, including quality, lead time, and compliance costs
Balance supplier development investments against portfolio diversification needs
Define audit protocols for ethical sourcing, ESG compliance, and regulatory exposure

Analyze modal shift opportunities between air, ocean, rail, and road based on cost, speed, and carbon impact
Negotiate contract terms with carriers using lane-by-lane cost benchmarking
Optimize load consolidation and route planning to reduce empty miles and improve asset utilization
Assess the viability of 3PL partnerships versus in-house fleet operations
Design final-mile delivery strategies that balance cost, speed, and customer experience
Integrate real-time shipment visibility into exception management workflows
Model fuel surcharge exposure and hedge strategies under volatile energy markets
Comply with international customs, duties, and documentation requirements across trade lanes

Map current system landscape to identify integration gaps between ERP, WMS, TMS, and planning tools
Evaluate ROI of advanced analytics, AI forecasting, and digital twin implementations
Define data governance standards for master data accuracy and system synchronization
Assess scalability of existing platforms to support growth or M&A integration
Identify latency and reliability constraints in real-time decision systems
Develop API strategies for connecting internal systems with supplier and carrier networks
Quantify the cost of manual workarounds and spreadsheet dependency in planning processes
Establish cybersecurity protocols for third-party data sharing and cloud-based platforms

Design balanced scorecards that link supply chain metrics to financial and customer outcomes
Set realistic improvement targets for OTIF, perfect order rate, and cash-to-cash cycle
Conduct root cause analysis on persistent performance gaps using structured problem-solving methods
Implement closed-loop feedback systems for corrective and preventive actions
Align incentive structures with cross-functional supply chain objectives
Conduct benchmarking against industry peers using standardized metrics and definitions
Identify process bottlenecks through value stream mapping and cycle time analysis
Develop audit protocols to ensure adherence to revised operating procedures post-optimization

Supply Chain Strategy Audit