Move Freight With Fewer Surprises and Less Manual Work
Custom AI for 3PLs, brokers, and shippers: predictive ETAs, optimized loads, freight documents that read themselves, and exceptions that surface before the customer calls.
How it works
Logistics runs on exceptions, and exceptions run on people refreshing tracking pages and retyping paperwork. The data to predict most of those exceptions already exists in your TMS, your carrier feeds, and eight years of shipment history. We build AI that reads it continuously, tells your team which loads are about to go wrong, and clears the document work that eats their day.
Predictive ETAs & Demand Forecasting
Arrival and volume models trained on your lanes, carriers, and seasonality rather than a generic industry average.
- ETA predictions that factor in carrier history, dwell patterns, weather, and facility appointment behavior
- Confidence bands so customer service knows when to proactively notify and when to hold
- Volume forecasts by lane and customer for capacity commitments and seasonal staffing
- Backtested against your historical shipments so accuracy claims are provable before go-live
Route, Load & Capacity Optimization
Optimization engines that build routes and loads against your real constraints - hours of service, dock windows, equipment, and cost.
- Multi-stop routing with time windows, driver hours, and customer appointment rules enforced
- Load building that balances weight, cube, stackability, and delivery sequence
- Carrier and mode selection scored on landed cost plus historical on-time performance
- Continuous rebuilds as tenders reject or volumes shift, not a single overnight batch run
Freight Documents & Exception Agents
Document AI and conversational agents that handle the paperwork and carrier chasing your team does by hand today.
- BOLs, PODs, rate confirmations, and customs forms parsed from email, EDI, scans, and driver photos
- Automatic three-way match of invoice, rate con, and accessorials with variances flagged for review
- Agents that chase check calls and status updates from carriers by email and SMS around the clock
- Exception queues ranked by revenue at risk, with a drafted customer update ready to send
Where teams use it
Built for real revenue work.
Freight Brokerage & Managed Transportation
Brokers cut check calls and document chasing so reps cover more loads without adding headcount. Margin leakage from unbilled accessorials and mismatched rate cons gets caught before settlement.
3PL Warehousing & Fulfillment
Warehouse operators forecast inbound volume by customer to schedule labor and dock doors ahead of the surge. Receiving paperwork and ASN discrepancies are resolved automatically instead of at the dock.
Shippers & Private Fleets
Manufacturers and distributors running their own fleets optimize routes daily and give customer service a real arrival time instead of a scheduled one. Inventory planners get demand signals early enough to act on them.
“Our reps used to spend the first two hours of every day on check calls and POD chasing. The agents handle that now, and the exception board tells us which twelve loads actually need a human.”
FAQ
Questions, answered.
Will this work with our TMS, or do we have to switch?
You keep your TMS. We integrate through its API or database and write results back so dispatchers never leave the system they know. We have connected to McLeod, MercuryGate, Turvo, Descartes, and in-house platforms, plus EDI and email feeds where APIs are missing.
How much historical data do we need for accurate ETAs?
Around twelve months of shipment history with actual arrival timestamps is enough for strong lane-level accuracy. Less than that still works for high-volume lanes, and we are explicit about which lanes have thin coverage rather than pretending confidence we do not have.
Can the AI communicate directly with carriers and customers?
Yes, and you set the boundaries. Agents can send check-call requests, chase missing PODs, and draft delay notifications, with configurable rules about which messages auto-send and which wait for a human. Every conversation is logged against the shipment record.
How is this different from the Leadify Logistics CRM?
The CRM handles shipper pipelines, carrier relationships, rate quoting, and revenue reporting. This is operational AI for execution - predicting arrivals, optimizing loads, and clearing freight paperwork. They complement each other, and we link them so sales sees the same service data operations does.
Keep exploring
More from the Leadify platform.
Pick the Exception That Costs You the Most
We will scope a first AI use case against your own shipment data with a fixed price and a 4-12 week delivery window.