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What AI companies build with logistics and freight companies data

By SourceX Editorial · Updated

Short answer

AI companies use logistics and freight companies data to build routing optimization, dispatch agents and document extraction for bills of lading. The most useful records are shipment records, dispatch communications, exception handling notes and rate quotes, because they show how real work in the field gets done.

Routing optimization#

Models for routing optimization learn from real examples of the work, such as shipment records and dispatch communications, prepared with personal details removed.

Dispatch agents#

Models for dispatch agents learn from real examples of the work, such as shipment records and dispatch communications, prepared with personal details removed.

Document extraction for bills of lading#

Models for document extraction for bills of lading learn from real examples of the work, such as shipment records and dispatch communications, prepared with personal details removed.

How your records get there#

SourceX starts with a short fit check that shares no data. If it fits, rights are reviewed, a copy is prepared with personal and confidential details removed, and your company approves exactly what leaves before anything is delivered under a signed license.

Frequently asked questions

Will AI built from our data compete with us?

Licenses can limit uses and buyers. Raise it during the rights review.

Related resources

See if your company qualifies

A short company assessment. No data uploads are needed.

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