Logistics ops ·

Watco uses Blue Yonder Dynamic Price Discovery and Transportation Modeling for real-time freight operations

The problem

Watco needed to serve customers with real-time freight rate availability and guaranteed capacity while optimizing its freight network for cost, efficiency, and sustainability.

Workflow diagram · grounded in source
1
Customer freight rate request
trigger
“always ready to serve its customers in real-time, every minute of the day”
2
Dynamic Price Discovery
integration
“Watco leveraged Blue Yonder Dynamic Price Discovery to offer its customers real-time market freight rates, with guaranteed capacity to fulfill customer demands”
3
Rate processing and response
output
“processing over 1500 rate requests a month with increased rate accuracy, allowing it to respond to market volatility instantly”
4
Transportation route modeling
integration
“Watco uses Blue Yonder Transportation Modeling to adjust its freight routes in real-time. This allows it to increase cost effectiveness, improve efficiency, and reduce carbon emissions and fuel burned by shortening truck routes”
5
Route simulation and load optimization
output
“The company can simulate digital transportation routes with speed, streamlining driver capacity, optimize freight loads”
Reported outcome

Watco improved productivity significantly, processing over 1500 rate requests a month with increased rate accuracy, responding to market volatility instantly, and reducing carbon emissions and fuel burned by shortening truck routes.

Reported metrics
Rate requests processed per monthover 1500
Productivity improvementimproved productivity significantly
Rate accuracyincreased rate accuracy
Time on freight load generationsave time spent on generating freight loads
Show all 6 reported metrics
rate requests processed per monthover 1500
productivity improvementimproved productivity significantly
rate accuracyincreased rate accuracy
time on freight load generationsave time spent on generating freight loads
carbon emissions and fuel burnedreduce carbon emissions and fuel burned
competitive advantagesignificant edge over its competitors
Reported stack
Blue YonderBlue Yonder Dynamic Price DiscoveryBlue Yonder Transportation Modeling
Source
https://blueyonder.com/customers/watco
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Watco improved productivity significantly, processing over 1500 rate requests a month with increased rate accuracy, responding to market volatility instantly, and reducing carbon emissions and fuel burned by shortenin…

What tools did this team use?

Blue Yonder, Blue Yonder Dynamic Price Discovery, Blue Yonder Transportation Modeling.

What results were reported?

Rate requests processed per month: over 1500; Productivity improvement: improved productivity significantly; Rate accuracy: increased rate accuracy; Time on freight load generation: save time spent on generating freight loads (source-reported, not independently verified).

How is this logistics ops AI workflow structured?

Customer freight rate request → Dynamic Price Discovery → Rate processing and response → Transportation route modeling → Route simulation and load optimization.