Use cases

Business outcomes, not demos

Every published case follows the same framework: problem, stack, build, hard numbers.

AI Quote & Inventory Matching Assistant

A B2B distributor carrying thousands of SKUs was drowning in inbound quote requests. Customers emailed in technical, jargon-heavy part descriptions (thread types, materials, dimensions) that took skilled staff real time to decode, cross-reference against inventory, and respond to. With only a handful of customer service reps handling the volume, routine requests ate hours that should have gone to relationship-building and complex orders, and the occasional large multi-line request could tie up the whole team for days.

Logistics & Freight / Transportation

$510k / year

AI Shipment Intake & Human-Verified Data Entry

A freight logistics operation was processing roughly 1,000 shipment requests a month, arriving from vendors in every format imaginable: emails, inconsistent PDFs, even handwritten forms. Getting that information into the Transportation Management System meant staff manually reading each document, decoding the details, and typing them in by hand. A team of six spent roughly half their day on this alone, and multi-stop loads made it worse: pairing related shipments relied on staff memory and manual cheat sheets, often holding up carrier booking for a full day while someone tracked down the matching load.

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