Logistics software development built around how freight really moves.

Logistics software development covers the systems that plan, move, store and track goods. That includes transport management systems, warehouse management software, fleet and route planning tools, driver apps, carrier and EDI integrations, customer tracking portals and the automation that links them. Increasingly it also includes AI for reading delivery and customs documents and for forecasting demand, so staff handle exceptions rather than routine data entry.

Buy when a packaged TMS or WMS covers your process with light configuration, because it is usually cheaper and faster. Build when your process is distinctive, when licence costs grow with every site or shipment, or when you need customer portals and integrations the product cannot support. Many businesses keep a packaged core and add custom modules and integrations around it, and we will recommend that when it fits.

It depends on scope, so each project is quoted after a free scoping call. As a guide, our custom software typically costs £8,000–£80,000+, from a focused internal tool to a full platform. Business automation, such as order or POD workflows, typically costs £2,000–£5,000 for one workflow and up to £30,000+ for multi-system work. A focused machine learning model, such as a demand forecast, typically costs £8,000–£25,000.

A focused internal tool or MVP typically takes four to eight weeks, and a full platform such as a custom TMS or WMS typically takes three to six months. A single automated workflow is typically live in one to two weeks, or three to six weeks when several systems are involved. Forecasting models typically take six to sixteen weeks from data review to production. Timelines are confirmed after scoping.

Yes. We connect to carrier APIs for rates, labels and tracking, exchange EDI messages with trading partners, and sync orders, stock and invoices with ERP and accounting systems such as SAP, Microsoft Dynamics, NetSuite and Xero. Where a partner has no API, we use file transfers or monitored browser automation. Every integration has retries, logging and alerts, so a failed message is noticed rather than silently lost.

AI document extraction reads scanned or photographed documents, such as PODs, delivery notes, carrier invoices, bills of lading and commercial invoices, and pulls out fields like references, dates, quantities, charges and signatures. The extracted data is checked against your bookings and rates. Anything the model is unsure about, or that does not match, goes to a review queue, and customs declarations remain your broker’s responsibility to check and submit.

AI helps most where a step involves reading unstructured information or making a prediction: extracting data from documents, triaging customer emails, forecasting demand, predicting ETAs and flagging unusual shipments or invoices. Fixed business rules, such as booking a carrier for a known lane, are better handled by ordinary software. We use each where it fits, and we will say when AI adds cost without adding value.

Yes. We build route planning that respects delivery windows, vehicle capacity and driver hours, driver apps with navigation hand-off and proof of delivery, and fleet dashboards that combine data from your telematics provider. Routing usually relies on proven optimisation solvers rather than machine learning, with ML added where it improves inputs such as expected stop durations or travel times.

Usually, if you have enough consistent order history. We build forecasts by site, lane, customer or SKU from your own data, adding factors such as seasonality, promotions and holidays, and we show ranges rather than a single number so planners can judge the risk. We review your data first and tell you honestly if it is not yet good enough to forecast from.

Yes. We build branded portals and tracking links where your customers can book shipments, follow them on a map or timeline, download PODs and invoices, and receive email or SMS updates when an ETA changes. The portal pulls events from your TMS, driver app and carrier integrations, so customers see one consistent status rather than a patchwork of carrier pages.

Yes, and that is often the better option. We build integrations, automations and add-on modules around the system you already run, such as order intake, POD capture, invoice checks or a customer portal. Replacing a core system is disruptive, so we only recommend it when the current one genuinely blocks the way you need to operate.

You do. Source code, documentation and workflows transfer to you on full payment, and cloud, carrier and AI accounts are set up in your name wherever possible. Your operational data stays in your systems, and where documents pass through an AI provider we use enterprise API terms under which the provider does not train on your data.