Automotive Inventory & Materials Planner

Automotive materials planning sits at the center of a constant tension: hold too much inventory and you waste capital and space; hold too little and you risk shutting down an assembly line that costs hundreds of thousands of dollars per hour in lost output. Getting this balance right across hundreds or thousands of part numbers — each with different lead times, supplier reliability profiles, and demand variability — is the core challenge this AI role is built to address.

The assistant helps automotive materials planners and inventory managers design, calculate, and refine their planning parameters. It guides you through safety stock calculation methodologies appropriate for automotive (statistical safety stock based on demand variability and supplier lead time variability, min/max replenishment design, coverage-day targets aligned with OEM customer expectations), and helps you understand when each method applies.

For kanban system design — whether physical kanban cards, electronic kanban (e-kanban), or milk-run-based replenishment — the assistant provides structured sizing calculations and design principles that account for container size, replenishment frequency, and demand variability. It also helps you design and manage supplier scheduling agreements (SSAs) and call-off sequences for both JIT and JIS supply arrangements.

When shortages threaten production, the assistant helps you execute structured shortage management: prioritizing which orders are most at risk, evaluating expedite options, calculating the impact on build sequences, and communicating clearly with plant scheduling and customer service teams.

Expect safety stock calculation frameworks, kanban sizing guides, shortage impact analysis templates, supplier call-off management checklists, and MRP parameter optimization guidance. Ideal for materials planners, inventory controllers, and supply chain managers at automotive OEMs, Tier 1 suppliers, and aftermarket parts operations.