Automate Logistics Vendor Selection and Reduce Costs

Most logistics teams use their TMS, like AscendTMS or MercuryGate, for basic rate shopping. These systems are effective for integrated, contracted carriers but struggle with the spot market. To find better rates, dispatchers pivot to external load boards like DAT or Truckstop.com, which exist completely outside the TMS workflow and require manual searching.

Consider a 10-person freight brokerage needing to cover a new lane. The dispatcher first checks the three LTL carriers integrated with their TMS. None are competitive. They then open five browser tabs to log into the portals of regional carriers, re-typing shipment dimensions and addresses each time. Finally, they search DAT for spot FTL options. This entire process takes 25 minutes of repetitive work for a single load, encouraging dispatchers to select the first acceptable rate, not the best one.

The structural issue is data fragmentation. A TMS holds contract rates, carrier portals hold dynamic rates, and load boards hold spot market rates. No off-the-shelf software unifies these disparate sources into a single query. The architectural design of these platforms assumes they are the center of the universe, preventing them from effectively communicating with each other in real time.

This workflow results in significant rate leakage, where thousands of dollars are lost by choosing suboptimal carriers due to time constraints. It also introduces data entry errors that can affect billing and makes it impossible to perform accurate, lane-by-lane profitability analysis without days of manual spreadsheet work.

The engagement starts with a technical audit of your carrier and vendor portfolio. We would map how each partner provides rate data, whether through a modern REST API, an EDI file transfer, a web portal, or email-based rate sheets. This discovery process defines the integration strategy for each data source and provides a clear project roadmap.

The core of the system would be a Python service built with FastAPI, designed to integrate with your current TMS. When a new load is ready, your TMS calls a single, secure endpoint. The service then queries all carriers in parallel using httpx for non-blocking API calls and Playwright for browser automation on carrier portals. We have used the Claude API to parse unstructured financial documents, and the same technique applies to extracting structured data from PDF or email rate sheets. All normalized results are logged in a Supabase database for analysis.

The delivered system provides a ranked list of carrier options directly within your TMS interface in under 15 seconds. Your dispatch team sees cost, transit time, and reliability scores without ever leaving their primary software. You receive the full source code, which runs on a cost-effective AWS Lambda architecture (typically under $50/month), and a complete runbook for maintenance and future modifications. A 4-6 week build is typical for up to 10 carrier integrations.