AI Agents

Context

Designed for Logistics – Carriers within the Fleet optimization stack, this agent is used by dispatch and operations to pair available tractors/trailers with the most suitable loads so empty miles are minimized and network utilization remains consistently high.

What it does

The agent continuously scans open loads and the pool of ready assets, then recommends high-fit assignments that reduce deadhead and align with current positions, equipment types, service windows, and driver limits. It returns a ranked list of pairings—what to haul, with which asset, and in what sequence—complete with short rationales (lane fit, timing, dwell, and backhaul options) so planners can act quickly without manual sifting.

Core AI functions

A recommendation-ranking engine scores load–asset combinations on lane compatibility, appointment feasibility, equipment requirements, HOS constraints, and downstream repositioning implications, producing a prioritized shortlist with clear, plain-language reasons for each suggestion.

Problem solved

Manual pairing under time pressure misses profitable combinations, creates avoidable deadhead, and leads to uneven equipment use across the fleet.

Business impact

Higher utilization and revenue per mile, fewer empty legs, and faster, more consistent dispatch decisions grounded in explainable logic.

Integration and adjacent use cases

Integration complexity: not specified (per catalog). The agent reads open loads and equipment availability from your TMS/dispatch system and writes ranked pairings back into the planning view; core systems remain unchanged.

Commonly combined with the Utilization insights agent to monitor post-assignment performance and refine matching priorities over time.