All Customer Stories

Eliminating 98% of
Manual Data Entry

Challenge

Thousands of BOL fingerprints, one brittle RPA stack.

The organization’s operations leaders knew traditional RPA could not keep up. With thousands of unique customers—each with its own bill of lading conventions—scripts broke faster than IT could patch them. Agility and flexibility were prerequisites, not nice-to-haves.

Leadership needed automation that could evolve alongside commercial relationships without forcing a rip-and-replace of every downstream process or standing up a parallel engineering team to babysit the bots.

The team needed a solution that could:
  • Modernize data capture without a full process overhaul
  • Adapt continuously as customer formats and routing rules changed
  • Extract, validate, and insert data reliably across Truckmate and internal databases
Infographic: more than 100,000 bills of lading flow through BoL automation to reduced manual data entry tasks, halved staffing requirements for data entry, and continuous improvements without restarts.
Solution

English as Code. Truckmate-ready automation.

Automating bills of lading

After evaluating multiple RPA vendors, the vice president of operations identified Kognitos as the best fit: a cloud platform that integrated with Truckmate and the company’s broader systems footprint while giving operations teams a low-code environment to implement and scale flows without standing up a dedicated engineering pod.

Kognitos now ingests customer BOLs, applies customer-specific logic, validates against business rules, and writes structured records back to operational databases—turning what used to be a full-day keying task into an exception-handling workflow.

Business users own the change loop

When new exceptions appear, operations subject matter experts extend the automation in plain English instead of opening a ticket and waiting in line. The organization sustains accuracy gains without constantly reopening IT projects, and ninety percent of exceptions are now resolved automatically—leaving the team free to focus on the edge cases that actually need human judgment.

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