Your fleet runs 200 routes a day. Your dispatch still plans them by hand.

Logistics companies run on tight margins where small operational improvements compound across thousands of routes, millions of picks, and hundreds of delivery stops per day. The data to find those improvements exists inside your TMS, WMS, and ERP systems. The problem is that nobody has connected it.

Transportation management data lives in one system. Warehouse throughput lives in another. Cost accounting sits in the ERP. Getting a unified view of cost-per-route or per-warehouse productivity requires pulling data from three or more platforms and stitching it together in a spreadsheet — a process that takes so long most teams only do it monthly, if at all.

Operational dashboards from disconnected systems. We extract data from ERP, TMS, and WMS platforms and transform it into the KPIs that operations leaders check daily. At an industrial distributor, we built automated reporting on warehouse picker productivity, sales orders, and fulfillment efficiency that replaced entirely manual processes. At a commercial laundry service, we assessed route optimization, production tracking, and inventory management across multiple facilities. The same approach works for any logistics operation running on systems that were never designed to talk to each other.

Manual reporting elimination. For an industrial distribution client, CorrDyn eliminated 42 hours per month of manual reporting and over an hour per day of data extraction time. The reports that used to require manual assembly from multiple systems now flow automatically into dashboards that operations teams use every morning.

Scheduling and route optimization. At a financial networking platform, we built optimization logic that scheduled 19,000+ meetings in under 30 minutes and reduced walking distance by 90%. The same optimization approaches — constraint-based scheduling, resource allocation, distance minimization — apply directly to fleet routing and warehouse labor scheduling.

Data infrastructure assessments. For logistics companies that know they have data problems but are not sure where to start, we deliver a structured assessment covering existing data systems, operational KPIs, technology options, and a prioritized implementation roadmap. Discovery includes interviews with operations, dispatch, warehouse, and IT leadership.

We understand operational data. Picks per hour, cost per route, on-time delivery, fleet utilization: these are the numbers that determine whether a logistics operation makes money. We build dashboards that show these numbers, sourced from the systems that already hold the data, and we do it without requiring a multi-year platform replacement. The infrastructure you have works. You just need someone to connect it.