Logistics workflow automation for the paperwork behind every load.

Logistics workflow automation is software that moves load documents and data between a trucking or freight company's systems without people retyping them. Typical examples are emailed rate confirmations turned into draft loads in the TMS, PODs matched to loads and turned into invoices, and carrier insurance certificates tracked to expiry. Where a step needs judgement, such as reading a scanned POD, AI suggests the answer and a person confirms it.

The good candidates are high-volume and document-heavy: rate confirmation intake, BOL and POD capture, load-to-invoice and factoring submissions, carrier onboarding and certificate tracking, and parcel label generation. Dispatch decisions, rate negotiation and carrier approval stay with your people. Automation handles the paperwork on either side of those decisions.

Usually, yes, but we confirm it before quoting. McLeod, Rose Rocket, Tailwind and Revenova each expose data differently, and access can depend on your version, plan or hosting. Revenova runs on Salesforce, which changes how we connect. QuickBooks Online has a public API; QuickBooks Desktop is more limited. During scoping we check for API access, a supported import or a reliable export, and tell you up front if the path is limited.

It depends on how many workflows are in scope, whether your TMS has a usable API, how much judgement the system must replicate, and your monthly load volume. The AI audit is free and ends with a scoped estimate. Builds are fixed-price against that scope, and ongoing support is a flat monthly fee covering hosting, monitoring, model and API costs. Our pricing page explains what moves the number.

Yes, all three. Parcel labels can be created through your UPS, FedEx or USPS API account with tracking written back. Delivered loads can be invoiced once the POD is matched, with billing approving each invoice. Carrier certificates, W-9s and authority can be collected, checked against public FMCSA data and tracked to expiry, with your compliance lead approving each carrier.

The return comes from dispatch and billing hours given back, fewer data entry errors on loads, and invoices sent sooner after delivery, which brings cash in sooner. How large it is depends on your load volume and how manual the current process is. The free audit looks at your current process first, so any estimate uses your numbers.

Most builds go live in two to three weeks from a defined scope. A TMS with no API, or one where access goes through a vendor approval, can take longer, which is why we scope before we quote. We usually start with one workflow, often rate confirmation intake or POD to invoice, prove it on live loads, and add the next.

That is not what we build it for. Dispatchers are paid to manage drivers, loads and problems on the road, and billing staff to get paid on time. The automation takes the retyping and document matching off both, so they spend more of the day on that work. People still approve every load, invoice and new carrier.

We build it to be. We work in your own cloud account where possible, give each workflow least-privilege access to only the data it needs, encrypt data in transit and at rest, and log every automated action. Your rates, lanes and customer data are never used to train models, and you keep the source code. Security responsibilities on your side are documented with you.