King of Freight · Concept prototype

The TMS remains the system of record for loads, contracts, customer master data, and accounting. This fictional demonstration shows how FreightFlow could surface what needs attention, who should act, and whether it was resolved.

Synthetic data · fixed Sep 8 scenario · saved in this tab

Operations intelligence

Analytics

Every metric answers a work question. Select a friction signal to inspect affected loads.

Demo model · auditable assumptions

Total loads

80

How much freight is in scope?

Human intervention

30

Where does work enter the queue?

Exception-free

50

What is moving without intervention?

Exception rate

38%

How often does freight create work?

Avg exceptions / load

0.4

How dense is the operational friction?

Dispatch workload

Are operators spending time on preventable follow-up?

Carrier contacts / load0.3
Interventions / load0.4
Avg resolution time12h
Queue aging5h modeled
Calls avoided by tracking28

Calls avoided is modeled at 35% of active loads with current tracking coverage.

Document flow

Where is delivered revenue waiting on paperwork?

Delivered → POD18h
Delivered → billing-ready31h
Revenue blocked$164,880
Documents overdue71

High-exception lanes

Which lanes create the most human work?

Financial impact

Modeled exposure, not claimed savings.

Revenue awaiting documentation$164,880
Loads at service risk30
Detention/accessorial exposure$2,928
Manual follow-up labor7h estimated

Carrier performance

Which partner signals explain intervention?

Customer operations

Who requires communication effort?

Harbor & Pine Home Goods5 exceptions4 manual comms2 detention
Northline Industrial4 exceptions6 manual comms2 detention
Vantage Retail Group1 exceptions5 manual comms2 detention
Cedar Grove Foods5 exceptions6 manual comms2 detention
Meridian Medical Supply2 exceptions4 manual comms2 detention
Brightwell Manufacturing4 exceptions6 manual comms2 detention