API integrations and data sync · Live · since July 2026
The uncovered-loads auto-classifier.
Ends rate guessing: an unclassifiable load is held for review, never posted at a guessed rate.
The problem
The TMS export literally cannot tell two load programs apart (every row carries the same customer name), but they post at different rates. Operators picked a converter by eye and sometimes guessed wrong. A wrong guess is a mispriced live posting.
How it works
- For each committed-but-uncovered load, the platform calls the TMS API and reads the reference field that names the program, then applies that program's deterministic rate rule.
- One program prices at a fixed percentage; the other from an owner-editable box-count table stored behind a clamp that guarantees well-formed tiers, so a garbled payload can physically not corrupt rate math.
- Before posting, every uncovered load re-proves it is still committed with no carrier, by a live read, so a load that was covered minutes ago never goes back on the board.
- Transient API failures retry rather than mis-file. A separate reference counter keeps batch numbers from ever colliding with the main sequence.
// an unclassifiable load is held for human review, never posted at a guessed rate
The result
Rate guessing eliminated. Three manual converter variants collapsed into one auto-classifying flow, and the owner edits his own rate percentages in the UI instead of asking for code changes.
Related systems
- Live
The load-posting converter
Replaced a silently corrupting Excel macro on day one. 4,342 loads posted in its first days, zero corrupted fields.
How it works - Live
Rate overrides and the margin floor
Every rate in the platform flows through one chokepoint: a hand-set override beats the percentage rules, and no rung of the ladder can book a loss.
How it works
Your version of this exists.
Different industry, same shape: a repetitive workflow, a fragile spreadsheet, an inbox someone babysits. Tell me what the manual work looks like and I can usually name the first build in one conversation.