Supply Chain Planning (SCP)

Supply Chain Strategy And Planning Transformation

Supply Chain Strategy Alignment: Define how planning supports service, cost, working capital, and resilience objectives; align COO, CSCO, CFO, and commercial leadership on trade-offs.
Planning Operating Model Design: Redesign roles across demand planning, supply planning, production planning, and S&OP; clarify decision rights and escalation thresholds.
Integrated Business Planning (IBP) Vision: Establish maturity roadmap from basic forecasting to full Integrated Business Planning (financially aligned, scenario-driven planning).
Network And Inventory Strategy Alignment: Align planning design with network footprint, postponement strategy, and inventory segmentation logic.

Requirements Definition And Capability Prioritization: Define needs across demand forecasting, supply planning, capacity planning, S&OP, and inventory optimization; avoid tool selection driven by feature checklists alone.
Vendor Shortlist And Structured Evaluation: Lead scenario-based demonstrations using real demand volatility and supply constraints; assess algorithm depth, scalability, and usability.
Total Cost Of Ownership Assessment: Evaluate license, integration, data harmonization, and ongoing model maintenance costs.
Implementation Partner Selection: Assess integrator expertise in planning transformation, not just tool configuration.

Forecasting Process Redesign: Standardize demand signal collection, statistical baseline generation, and commercial overrides.
Demand Governance And Bias Control: Define forecast ownership, override discipline, and accountability frameworks.
Demand Segmentation Strategy: Segment products by volatility, lifecycle stage, and strategic importance; apply differentiated forecasting approaches.
Consensus Demand And Commercial Alignment: Integrate sales, marketing, and finance inputs into a single, governed demand plan.

Supply Planning Model Design: Define sourcing logic, safety stock rules, and replenishment strategy aligned to service objectives.
Capacity Planning And Bottleneck Management: Integrate labor, machine, and supplier capacity constraints into planning logic.
Multi-Echelon Inventory Optimization: Design safety stock and service targets across plants, DCs, and regions; reduce working capital without sacrificing service.
Scenario Planning And What-If Analysis: Enable planners to evaluate trade-offs across service, cost, and capacity constraints.

S&OP Governance And Cadence Design: Establish executive-level monthly cycle integrating demand, supply, finance, and commercial strategy.
Financial Integration Of Supply Plans: Align volume plans to revenue, margin, and working capital projections.
Executive Decision Support Framework: Define structured trade-off discussions and escalation logic.
Cross-Functional Accountability Model: Clarify ownership of assumptions, commitments, and performance gaps.

Master Data Governance Framework: Define ownership of product hierarchies, lead times, BOMs, sourcing rules, and customer segmentation.
Data Harmonization And Cleansing Oversight: Lead data validation to ensure statistical models operate on reliable inputs.
Planning KPI Definition And Governance: Standardize KPIs such as forecast accuracy, bias, service level, inventory turns, and plan adherence.
Analytics And Visibility Strategy: Align SCP dashboards with executive and operational reporting needs.

Executive Steering And Decision Rights: Establish governance model across supply chain, operations, finance, and IT.
Integrated SCP Program Management Office: Build integrated workplans across demand, supply, S&OP, data, and integration workstreams.
Independent Delivery Assurance: Provide objective oversight of integrator performance and planning model integrity.
Scope And Model Discipline: Prevent over-engineering of planning models that degrade usability and adoption.
Testing And Scenario Validation: Validate planning outputs under real volatility and constraint conditions before go-live.

Planner Role Redesign And Capability Building: Define future planner skill requirements (analytics, scenario modeling, cross-functional collaboration).
Commercial And Operations Alignment Strategy: Align sales and operations incentives with planning discipline.
Training And Scenario Simulation: Conduct realistic planning cycle simulations prior to go-live.
Behavioral Adoption And Governance Reinforcement: Monitor override behavior, forecast bias, and exception trends post-launch.

Cutover And Planning Calendar Alignment: Transition planning cycles without disrupting production or service.
Hypercare And Planning Cycle Stabilization: Provide structured support through initial planning cycles.
Performance Monitoring And Course Correction: Track KPI deviations early and adjust planning parameters.
Continuous Improvement Roadmap: Expand from baseline forecasting to advanced optimization and AI-enabled planning.

Global Template And Multi-Region Rollout Strategy: Deploy scalable planning models across geographies with localized demand signals.
Resilience And Risk Planning Enablement: Integrate risk modeling, supplier risk signals, and disruption response planning.
AI And Advanced Analytics Integration: Identify use cases for demand sensing, machine learning forecasting, and predictive inventory optimization.
Post-Merger Planning Integration: Harmonize planning logic and data structures across merged supply chains.
Control Tower And End-to-End Visibility Strategy: Define integration between SCP, ERP, WMS, TMS, and external data feeds.