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Gregory Pitstick

Supply Chain TransformationOperations TransformationSupply Chain StrategyInventory OptimizationWorking CapitalDemand and Supply PlanningManufacturing OperationsDistributionSourcingDigital TransformationChange ManagementSupply Chain Resilience
About

Gregory Pitstick is a supply-chain and operations transformation leader and Managing Director at Huron. He works with manufacturers, distributors and other complex organizations on supply-chain strategy, operational improvement and technology-enabled transformation.

He has more than 35 years of experience spanning digital transformation, global supply-chain design, planning, sourcing, manufacturing, distribution and operating-model modernization. His work connects operational performance with financial outcomes such as working capital, service, margin and revenue protection.

Pitstick’s recent public analysis focuses on practical applications of supply-chain AI, including planning-parameter governance, inventory optimization, digital twins, disruption response and change management. He emphasizes improving existing processes and technology stacks before introducing greater automation.

Dataleo perspective

Pitstick’s work is particularly relevant to organizations seeking measurable improvements without immediately replacing their ERP or planning platform. His focus on supplier lead times, safety stock, reorder points, lot sizes and min-max policies highlights how poorly maintained planning parameters can undermine otherwise capable systems.

The operational requirement is clear ownership. Procurement, planning, operations and finance must agree who owns each parameter, which data supports it, how frequently it is reviewed and what evidence is required before a change is approved. AI can identify drift and recommend adjustments, but changes affecting inventory, production or customer service need testing, approval, audit history and rollback procedures.

His broader transformation perspective also connects execution, planning and strategy. Improvements should be measured across service, margin, revenue, working capital and operational resilience rather than through isolated functional savings. Lightweight analytics and digital twins can support diagnosis and simulation, while ERP, APS and execution systems remain controlled systems of record.

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