Context: Revenue per mile in logistics is often discussed as a pricing outcome, but it reflects how well capacity is matched to demand while freight is already moving.

Challenges: Loads are accepted before demand fully settles, empty miles build as dispatch, sales, and network teams operate on different rhythms, and once vehicles roll, flexibility collapses, so shortfalls only appear once the miles are already behind the fleet.

Solution: The Revenue per Mile Guidance Agent, an AI agent built using Microsoft Copilot Studio, monitors load density and empty-mile risk as conditions shift and intervenes before dispatch and mid-run, flagging route variance before revenue opportunity is lost.

Impact: Operators adopting this approach see assets run fuller and empty miles contract, with sustained revenue efficiency coming from disciplined decisions at execution time, not post-trip analysis.