Overview
Who it is for
Carriers, brokers, third-party logistics providers, distributors, and the supply chain teams inside manufacturers and retailers. Deadline-driven, margin-thin, and dependent on data from partners who all send it differently. The symptoms are familiar: dispatch run from a spreadsheet, a warehouse system that only exports at midnight, ETAs that customers have stopped believing, and a reporting process that takes longer than the shift it reports on.
What we deliver
Systems that keep moving when the volume does:
- Dispatch and planning tools built with the dispatchers who use them, replacing the spreadsheet with something that has users, rules, and an audit trail.
- Routing and ETA built on reliable event data, measured against actuals, and improved on numbers.
- Warehouse and partner integration. Adapters for WMS, TMS, ERP, carrier, and customer feeds, with validation, retries, and a log of every record.
- Field and driver apps that work offline and sync when back in range.
- Operational dashboards for throughput, backlog, exceptions, on-time performance, and cost per shipment, on one data model.
- Automated workflows for the processes that used to be run by hand at the end of each day: manifests, billing feeds, proof-of-delivery handling, exception reports.
How the engagement runs
- Listen. A 60-minute call about the flow of a shipment from order to invoice, where it is tracked by hand, and where it breaks. A one-page scope within 48 hours.
- Discover. We map the systems and partner feeds, define one model for a shipment and its events, and build a prototype of the most painful integration or the dispatch flow against real data. The sprint ends with a data flow diagram, the shipment model, and a build plan.
- Build. Feeds, model, apps, and dashboards land week by week, each running alongside the current process until the operations team trusts it. Weekly demos use real shipments.
- Hand off. Your internal owner runs the feeds and the exceptions queue for two weeks while we taper, then a 90-day standby through at least one busy period where possible.
Typical stack
Integration services with adapters per partner, queues for bursts, a relational store for the shipment model and audit trail, a managed warehouse for reporting, and the cloud’s native observability. Field apps are built to run offline on commodity devices. Everything is infrastructure as code so that capacity for peak season is a configuration change, not a project.
Common starting points
The engagements this industry asks for most are a dispatch board to replace the spreadsheet, a partner integration layer that ends the midnight export, an ETA that customers believe again, and a dashboard that shows the day as it happens. Each is a fixed-scope, fixed-term engagement with a named lead and an internal owner at the end.
The services that come up most in logistics are integrations, dashboards and analytics, and workflow automation.