How much more freight can a dispatcher cover with MiOpsAI?

Private-beta brokerages report dispatchers covering thirty to fifty percent more active loads at the same service level once LizziAI absorbs the routine communication and coordination work. The delta comes almost entirely from removing the retype-and-tab-hop overhead that eats a dispatcher's day, not from asking dispatchers to work faster.

A typical dispatcher managing thirty active loads spends four to six hours a day on communication: check calls to drivers, status updates to shippers, appointment confirmations with receivers, load offer responses to carriers, POD chasing, rate quote replies, and internal handoffs. Each individual message takes ninety seconds to two minutes, and the volume compounds because every load generates six to twelve touchpoints across its lifecycle.

LizziAI drafts the routine sixty to seventy percent of those messages using load context from your TMS, and dispatchers approve them in one to two seconds each. The routine work compresses from four to six hours down to one to two hours, and the recovered time goes into exception handling, carrier development, and the pricing discipline that actually determines margin.

Concrete example from a beta brokerage: a fifteen-dispatcher operation was covering roughly 450 active loads at peak. After eight weeks on MiOpsAI, the same fifteen dispatchers were covering 620 active loads at slightly better on-time performance. That is 170 additional loads with no headcount increase, which at their average net revenue per load worked out to just under a hundred thousand dollars a month in incremental margin.

Your numbers will differ based on lane mix, average revenue per load, and how much of the current dispatcher day is genuinely communication versus pricing or carrier development. See the pricing page to model the ROI at your brokerage size.