Agents of change: How AI is helping automotive supply chains recover value and reduce waste
· Source: automotivelogistics.media
In short
SupplyWhy.ai has built a multi-agent AI platform called Jenae that acts as a decision intelligence layer across ERP, EDI and planning systems to detect, explain and prevent EBITDA leakage in automotive supply chains. Following a 12-month pilot, tier-one supplier Yazaki Innovations has implemented the platform across demand planning and operational decision-support workflows, reporting better signal quality, reduced inventory levels and improved manpower planning. The article argues that domain-specific, agentic AI focused on the 'why' behind supply chain changes can shift organisations from visibility to active performance management.
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In the issue of week 38, 2026: AI Moves Closer to Supply Chain Decisions, but Data and Returns Still Lag
Tags: automotive, supply chain, agentic AI, demand planning, inventory, claims recovery