Logistics and Supply Chain Software Development for Operations

Most logistics software fails at the dock, not in the demo: it assumed a scan that never happens, a network the yard does not have, or a rate structure the contracts do not follow. Discovery starts with the flows — orders, loads, movements, documents and money — and the people who move them, then settles the sequence: what to connect first, what to modernize, what to leave alone. The output is a roadmap costed against service failures and detention hours, not a transformation deck, and a first release the dispatch desk will use on Monday.

Order-to-load planning, carrier tendering, dispatch, tracking, proof of delivery and freight audit built around your lanes, contracts and constraints rather than a vendor’s module list. Tendering and status flow over EDI 204, 990, 214 and 210 or carrier APIs, whichever the partner speaks. Freight audit matches every invoice to its rate, its accessorials and its proof of delivery before settlement, and every decision writes the record the shipper, the carrier and the auditor will ask for.

Receiving, put-away, picking, packing, cartonization, shipping and cycle counts built for the scanner in a gloved hand and the supervisor watching the wave. Inventory is a stream of events — every barcode, RFID and GS1 identifier read from receipt to dispatch — so stock is a fact with lot, serial and location behind it, multi-warehouse positions reconcile against the ERP, and a recall or a customs query answers in seconds. Labor and slotting analytics sit on the same data. Where a packaged warehouse management software system already runs, we build the applications and integrations around it rather than replacing it.

Driver apps, dispatcher consoles and fleet dashboards that work in the cab, at the gate and in a dead zone: offline-first, with proof of delivery, electronic documents, hours-of-service awareness and vehicle checks captured where they happen and synchronized when signal returns. Telematics, ELD and diagnostic data are read through the providers’ APIs and standardized into one vehicle record for maintenance, utilization and safety analytics. For a tractor OEM we built predictive maintenance across legacy and connected fleets — component issues detected 45% faster, unplanned-downtime risk down 35% — and the same fleet-health pattern applies to trucks, trailers and yard equipment.

One governed data layer over orders, shipments, inventory and partners, with lineage back to the EDI message, the API call or the scan that produced each fact. Carrier events, telematics positions, port and customs milestones and warehouse movements are ingested as they happen, reconciled to the order, and exposed as a control tower: exception queues, ETA confidence, dwell and detention, on-time-in-full by lane and customer. A data orchestration platform we built for a compliance provider replaced spreadsheet handling of partner files arriving by SFTP and email with monitored ingestion, task-based validation and audit logging — 60% less manual spreadsheet work, 50% faster validation — the same discipline a supply chain’s partner data needs.

Demand, ETA, delay and carrier-performance models trained on your order, shipment and telematics history, enriched with weather, traffic and port data, and delivered inside the planner’s screen with the reasoning attached. Every model ships with documented features, thresholds and review cadence, an explanation the planner can check, and drift monitoring in production, because a forecast nobody trusts is a spreadsheet with extra steps.

Bills of lading, commercial invoices, packing lists, customs declarations, proof of delivery and carrier invoices arrive as PDFs, emails and portal downloads, and someone re-keys them. We build the pipelines that read, validate and route them: document extraction with human review for the exceptions, three-way matching of invoice to rate to delivery, customs data assembled to the filing’s schema, and dangerous-goods and sanctions checks before a shipment is tendered.

Logistics runs on other people’s systems: carriers on EDI X12 and EDIFACT, marketplaces and web stores on webhooks and APIs, customs on government schemas, and your own ERP on whatever it was configured with a decade ago. We build the integration layer that makes them one flow — message translation, idempotent processing so a duplicate 214 never creates a duplicate event, retries and dead-letter queues for the partner that goes quiet, and monitoring that tells you a feed stopped before operations notices. New partners onboard by configuration and certification in a sandbox, not by a new project each time.

On-time-in-full, cost per shipment, cost to serve, dwell, detention, utilization, damage and claims, calculated once from the governed data layer and read the same way by operations, sales and finance. Role-based dashboards for the dispatcher, the warehouse lead, the account manager and the CFO sit on one model with lineage to the source event, so a number challenged in a review can be traced to the scans and messages behind it. Where the analytics need a workforce and wages dimension, the production-to-payroll platform we built for a multi-location manufacturer — wage calculation 55% faster — is the pattern.

Plenty of dispatch, warehouse and billing software runs on code written a decade ago, kept alive by the one person who understands it. We do not tear it out while freight is moving. An API layer goes in front of the legacy system first, so new applications, integrations and analytics ship against it; then modules are re-platformed one at a time — tracking, rating, billing — each run in parallel against live operations and reconciled before the old path is retired, with cutovers planned to the quietest window in the week.

Third-party logistics providers, freight platforms and logistics software vendors need one platform that serves many shippers, carriers or workshops at once, with each tenant’s data, rates and branding kept apart. We design the tenancy model, entitlements, billing and onboarding as product features, and build the APIs partners integrate with. The multi-brand tractor service network platform we built — booking, workshop coordination, multilingual access and real-time tracking on one web and mobile platform, service tracking 50% faster and workshop coordination 40% smoother — is the pattern: a service network digitized as a product rather than as one company’s internal tool.