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Prime’s refrigerated division selects appointment slots with machine learning
Added 2026-10-14 · Reviewed 2026-10-15 · Prime Inc.
Read the source ↓What the company did
Qued reports Prime’s Refrigerated Division deploying Smart Appointments to select facility slots using ETAs, capacity, historical performance and location requirements. Machine learning informs the slot choice, while TMS integration and booking automation carry the appointment through the operating workflow.
How it went
The June 2026 release reports more than 23,000 appointments booked to date and booking time reduced by as much as 90%. It does not state the timing baseline or an independent scheduling test.
Worth knowing
- The reported deployment covers refrigerated operations; it does not establish the same results for Prime’s other divisions.
- For your desk: Match the confirmed slot to the reefer load’s pickup and delivery windows, facility references and time zones. Escalate a slot that cannot be reached from the current ETA.
Sources & provenance
Qued Partners with Prime Inc. to Bring AI-Powered Smart Appointments to North America’s Largest Refrigerated Fleet ↗
Qued · Published 2026-06-04 · Reviewed 2026-10-15
“uses machine learning to find the best appointment slots in real time”
Supporting evidence and review
Human review required
- Practical review advice: verify facility, appointment window, timezone and reference numbers.
- Reconcile confirmations with the dispatch plan and review changes or exceptions.
Evidence & limitations
- Provider-published customer deployment report; no independent scheduling test.
- Machine learning supports slot selection; portal booking and integrations are surrounding automation.
- Broader fleet applications were under evaluation; the reported deployment covers the Refrigerated Division.