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Industries

Software and AI for logistics and transportation

Freight moves fast, and the paperwork behind it moves slowly. We build driver apps, tracking and integrations that keep information moving as fast as the trucks.

Common challenges

What slows this industry down

Logistics and transportation companies coordinate drivers, vehicles, customers, warehouses and partners, often across several systems that were never designed to work together. Orders arrive by email, portal and phone. Proof of delivery comes back as photos and paper. Rates, invoices and customs documents pass through many hands.

Every handoff is a chance for a delay or an error. A delivery note typed wrongly, a status update that never reaches the customer or an invoice that does not match the job all cost time and money. Much of this work is reading documents and moving data from one system to another, which is exactly what software and AI do well.

We build driver apps, tracking pages, event-driven integrations and document processing for logistics teams. Systems talk to each other through APIs and webhooks instead of spreadsheets. AI reads delivery notes, orders and invoices. Dispatchers and managers stay in charge of routes, exceptions and customers.

Orders in every format

Orders arrive by email, spreadsheet, portal and phone, and are typed into the transport system by hand.

Customers asking where it is

Customers call for delivery status because updates do not reach them automatically.

Paper proof of delivery

Signed notes and photos come back late and must be matched to jobs before billing.

Invoice matching

Carrier and supplier invoices must be checked against rates and jobs, line by line.

Systems that do not connect

Transport, warehouse and accounting systems each hold part of the data.

What we build

What we build for this industry

The services logistics companies ask us for most often.

Android apps

Native Android apps that work well across the wide range of phones your customers carry.

App backend and APIs

The servers, databases and APIs behind your app: accounts, data sync, notifications and payments.

API integration

Make two systems share data reliably, with retries, logging and alerts when something goes wrong.

Webhooks and event systems

Systems that react the moment something happens, such as a payment, a signup or a form, instead of waiting for a nightly job.

Solutions that fit

Problems we solve here most often

AI automation and integrations

Connect the tools you already use so data moves once, correctly, and AI reads the parts that arrive as text or documents.

Invoice processing

Read supplier invoices, match them to orders and push approved ones into accounting, with exceptions flagged for review.

Automated reporting

Reports that build themselves from your systems on schedule, with a plain-language summary of what changed.

Email triage

Sort a shared inbox by topic and urgency, pull out the key details and draft replies for a person to send.

Similar work

Similar work from other industries

In practice

What it looks like in practice

An illustrative walk-through, not a client story.

A regional delivery company receives orders from forty business customers, most by email with a spreadsheet or PDF attached. An AI model reads each order, extracts the addresses, items and delivery windows, and creates jobs in the transport system. Orders it cannot read with confidence go to a dispatcher to check.

Drivers use an Android app that shows their jobs in order and works with poor signal. At each stop, they capture a signature and a photo. The customer receives a text when the driver is close and a proof of delivery link when the job is done. At month end, carrier invoices are read and checked against agreed rates, and only mismatches go to the finance team.

Dispatchers spend their time on exceptions such as late loads and closed sites, rather than on typing orders. Customers stop calling for status because they already have it.

Where to start

Where most logistics and transportation teams start

Companies with many emailed orders usually start with data entry automation for order intake, because the time saved is immediate. Companies with paper-based drivers often start with a driver app for jobs and proof of delivery, backed by a solid app backend.

Next steps include invoice processing, automated reporting for customers and event-driven integrations that keep the transport, warehouse and accounting systems in sync. Each step is tested with real orders and drivers before it goes live.

Keep exploring

FAQ

Questions from logistics and transportation teams

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