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Custom logistics software development for carriers, brokers, 3PLs and shippers who have outgrown the platform they started on.
Transportation and warehouse systems, route optimization, and the carrier and EDI integration underneath them.
Tell us which handoff keeps breaking.


See it working
Dispatch, live shipment tracking and exception handling in one system, with every status change written once and reconciled across the systems that need it.

The Friction We Fix
Logistics rarely breaks all at once. It slows down piece by piece, and the symptoms land in the same six places on almost every operation that has outgrown its systems.
1
Each system holds part of the truth. The join happens in a spreadsheet.
2
Status is known when someone asks. By then the window to act has closed.
3
Numbers move between screens all day. Every hop is a place to be wrong.
4
Confirming a delivery takes three calls. The customer knows before the system does.
5
Routes optimize for distance. The constraints are time windows and driver hours.
6
Volume grows and the reporting stops being trusted. Decisions get made on instinct.
What we build
Custom logistics software development at CorLab starts from the handoffs, not the screens. Most logistics projects are described as an application problem and turn out to be an integration problem: the same shipment exists in four systems under three identifiers.
Planning, tendering, dispatch and settlement in one system: loads, lanes, drivers, carriers and rates, with status changes written back to accounting. What decides whether a TMS holds up is the rating and settlement logic, because that is where accessorials, surcharges and contract exceptions accumulate until a spreadsheet appears beside it.

Receiving, putaway, pick paths, cycle counting and dispatch, for operations a commercial WMS prices out of reach or does not fit: multi-client 3PL sites, kitting, serialized and lot-tracked stock, and controlled inventory with custody requirements. Built against inventory that reconciles to a real count rather than a hopeful one.

Optimization against the constraints an operation actually runs under: time windows, vehicle capacity, driver hours, load compatibility, dock appointments. Dynamic route optimization re-plans against live traffic and new orders, not only at the start of the day. A solver earns its cost when the constraints are real. A fixed weekly route does not need one.

The connective layer, and usually the largest line in the estimate. Carrier and rate APIs, telematics and ELD feeds, customs systems, and EDI where a trading partner requires it: 850, 856, 214, 204, 990. Every partner reads the standard slightly differently, so what a connection actually returns is tested before anything is designed.

Dispatch and assignment, live ETA against the window promised to the customer, proof of delivery with photo and signature, and failed-attempt handling. Last-mile routing is tuned for drop density rather than distance, because in the final leg the cost sits in stops per hour, not miles driven.



Outcomes
Four measures that move when this work lands. They are stated as metrics an operations team already reports, because a benefit nobody measures is a claim rather than a result.
Visibility pays when it changes something. The measure is not whether a shipment can be tracked, it is whether an exception reaches someone in time to fix it, and whether the promised ETA holds.
Routing against real constraints moves fuel, overtime and vehicle count together. Cost per drop is the number worth watching, because it survives the volume changes that cost per mile hides.
Automation is measured in hours returned to planning and exception handling, not in the count of automated steps. A dispatcher freed from status polling is the return.
One identity per shipment across systems means the operational number and the finance number match. Most reporting problems in logistics are identity problems wearing a dashboard.
Selected work
Systems built for operations where position, status and cost have to be read together rather than assembled from three tools afterwards.
How We Build Logistics Software
A logistics project has a step a general software project does not: the integration audit. What the partner systems will actually give you, in what format and at what latency, decides most of the timeline and almost all of the risk.

1
Spent on the operation, not the feature list. Where the handoffs are, who re-keys what, which exception is still handled by phone.
2
Every system the build must reach is tested before design: APIs, partner formats, telematics, ERP. Re-scoping here beats month four.
3
Shipments, stops, loads and assets get one identity across every system. The decision everything else inherits, and the one most often deferred.
4
Two-week sprints, dispatch and execution paths first, because those are the ones an operation cannot work around. Sprints ship against real data.
5
A limited release on one lane or depot, run beside the existing process. It finds the gaps between the plan and the day, while a fallback exists.
6
Wider release, then the work that keeps it running: new carriers, partner format changes, and monitoring that catches a broken integration early.
Logistics builds fail in predictable places. The integration turns out to be larger than the application, the same shipment carries three identities across four systems, or the software handles the happy path and leaves every exception to a phone call.
Frequently Asked Question
Questions that come up in most first conversations about a logistics build.
Logistics software development is the design and build of systems that plan, execute and track the movement of goods, covering transportation management, warehouse and inventory control, order and freight management, and route optimization. It becomes custom work when the operating model does not fit a commercial platform, or when the integration between existing systems is the actual problem.
Insights
Longer pieces on the parts of logistics engineering that need more than a paragraph.
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