Expediting is not a fix, it is the invoice for a decision made too late
Module · Transport and Distribution
Visibility platforms told you the truck was late. They did not tell you what it costs, so the answer was air freight.
Prophesee Logistics prices the disruption while a cheaper option still exists.
Everyone sold seeing. Almost nobody sold deciding.
Knowing the truck is late was never the hard part. Knowing what it costs, and what to do instead, still is.
Sources: Gartner, cited in FourKites, Why Supply Chain Control Towers Did Not Deliver, 2026; the publisher is a visibility vendor writing about its own category · MIT, cited in the same FourKites analysis (approximately 25 emails and input from 8 roles per disruption) · McKinsey, Supply Chain 4.0, cited in the same analysis; original fieldwork is more than five years old · FourKites survey of real time understanding, sample size not disclosed by the publisher.
From seeing the delay to pricing the answer
Lane transit times were loaded once and are averages. The plan promises a date the lane has not held for two years.
Measured transit distributions by lane, mode and carrier, and a predicted arrival with a confidence band. Shipments trending towards a premium freight decision are named while a cheaper option still exists.
The portal shows every shipment and ranks none of them, so the team works the loudest customer rather than the costliest delay.
Lanes tested continuously against their own measured performance. When reliability shifts, the alert carries the affected orders, the revenue behind them and a named owner.
Mode and routing are set once a year on rate cards. The trade between cost, cash and service is never re-priced when the year changes underneath it.
Model air against ocean against road on landed cost, cash tied up in transit and service, watch the projected curve update, then track the actual against the modelled plan.
The shipment, the order it carries, the customer promise and the invoice sit in four systems, so nobody can say what a delay actually stops.
Shipments, orders, customer promises and freight cost resolved into one graph. Ask in plain language and get the exposure with the source behind every figure.
Turning logistics challenges into decisions
Lane transit times were loaded once as averages, so every promise built on them inherits an error nobody measures.
Carrier performance is reviewed quarterly against a target, long after the orders it affected have shipped.
Every shipment is visible and none are ranked, so the team works the loudest customer rather than the costliest delay.
When capacity is short the loads are built by hand, so the cheapest freight wins rather than the most valuable order.
A port closes, a carrier fails, a route shuts. Somebody forwards the news and the re-plan starts from scratch.
13 AI applications that could be relevant
A sample of what becomes possible on the decision layer, not a fixed list: each application draws on the same data foundation and audit trail, and new ones are configured on the engines, not built from scratch.
The measured transit distribution by lane, mode and carrier, against the planning value.
Predicted arrival with a confidence band and what it puts at risk.
The shipments heading for premium freight, early enough to avoid it.
The freight, duty and handling behind a delivered unit cost.
A lane whose reliability has shifted, raised with the affected orders.
Ranked by the order and the customer behind the shipment.
A route or mode whose cost per unit has crossed the agreed threshold.
Route, port and carrier events detected and matched to the shipments they touch.
Model air against ocean against road on cost, cash and service before you commit.
Test load building and consolidation rules against service and freight spend.
The date the plan lands inside the freight budget at the agreed service.
Where it is, why it is late, and what it holds up.
Every shipment on this lane, including those recorded under different names.
A day when the premium is avoided
Today: A transit time table loaded once, holding averages the lanes no longer meet.
Measured transit replaces the table. Six lanes are being promised two days faster than they deliver.
Today: A tracking portal showing everything and ranking nothing.
A lane degrades. The alert carries the orders, the customers and the revenue behind them.
Today: An expedite approved on Friday for an order that was late on Tuesday.
Air against ocean modelled on cost, cash in transit and service. He books the one that holds the promise cheapest.
Today: A freight tender priced once a year against a year that changed.
Eleven shipments were flagged early enough to re-plan. The expedite budget shows the difference.
Tomorrow's delay becomes today's decision.
Stop paying to fix it late
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