AIn’t it interesting – Decisions are still human (for now!)

Over the last few posts, I have been discussing how signals navigate across the supply chain, and how AI can help connect & interpret these signals earlier

An interesting question arises….if signals are more visible, why are supply chains still feel reactive?

Seeing faster doesn’t always mean acting faster!

1) Signals vs Decisions
AI can
– detect anomalies early
– connect signals across systems
– project downstream impact
– surface risks before they become visible
However, once that signal is surfaced, something else matters – Decision Making

2) Where things slow down?
a) Too many signals, not enough clarity!
– even with better visibility, teams often face multiple alerts
– which one matters most? what should be acted on first?

b) Cross-functional dependencies
– a single signal can impact planning, inventory, procurement, and logistics
– decisions still sit across different teams

c) Trade-offs are not obvious
– expedite or wait?
– re-allocate or hold?
– protect service or reduce cost?
AI can highlight options, but choosing between them isn’t straightforward

d) Alignment takes time
– even when the issue is visible, getting teams aligned on action can take longer than expected

3) What seems to be shifting?
– earlier, the bottleneck was visibility
– now, it seems to be decision velocity
– the system can see the issue, but the organization still needs to decide what to do with the signal!

4) Where AI is starting to help?
Not by taking decisions, but by shaping them
– prioritizing which signals actually matter
– quantifying impact (cost, service, risk)
– presenting trade-offs more clearly
– recommending actions based on past patterns
– enabling more consistent decisions across teams

5) Summary
– better signals don’t automatically lead to better outcomes
– the real leverage seems to come from how quickly and confidently decisions can be made once the signal is visible

AIn’t it interesting how, as AI improves visibility across the supply chain, the real challenge is quietly shifting from ‘What’s happening?’ to ‘What should we do about it?’