12,000 ideas match, averaging 73/100 on the opportunity score. For people whose advantage is knowing an industry from the inside. Ranked so that domain-heavy, unglamorous workflows rise rather than sink.
A reconciliation engine that sits beside the existing system, reads what it already produces, and closes vendor management. Aimed at hospitality ops teams, so the work stops following people home.
A narrow forecasting model scoped to scheduling alone — no platform, no migration, no six-month rollout. Aimed at retail merchandisers, charging only when it actually works.
Point a forecasting model at pricing, and let people review output instead of producing it. Aimed at e-commerce marketing leads, closing the loop while everyone is asleep.
Inventory planning handled by an anomaly detector, with a human signing rather than writing. Aimed at automotive service managers, starting from data the business already produces.
Asset tracking handled by an anomaly detector, with a human signing rather than writing. Aimed at automotive service managers, unbundling the one module people actually use.
A retrieval engine that sits beside the existing system, reads what it already produces, and closes proposal writing. Aimed at automotive owner-operators, replacing the spreadsheet that currently holds it together.
A document parser that sits beside the existing system, reads what it already produces, and closes intake & triage. Aimed at automotive parts managers, writing down what only one person knows.
A narrow retrieval engine scoped to knowledge capture alone — no platform, no migration, no six-month rollout. Aimed at equipment rental owner-operators, surfacing the exposure nobody has priced.
A document parser that sits beside the existing system, reads what it already produces, and closes onboarding. Aimed at restaurants owner-operators, at a tenth of what the enterprise suite charges.
Point a retrieval engine at knowledge capture, and let people review output instead of producing it. Aimed at retail owner-operators, taking the phone queue off a human entirely.
Point a voice agent at knowledge capture, and let people review output instead of producing it. Aimed at e-commerce ops teams, charging only when it actually works.
Point a document parser at payroll verification, and let people review output instead of producing it. Aimed at e-commerce ops teams, proving value before anyone signs anything.
A narrow retrieval engine scoped to knowledge capture alone — no platform, no migration, no six-month rollout. Aimed at wholesale ops teams, taking the phone queue off a human entirely.
A document parser that sits beside the existing system, reads what it already produces, and closes invoicing. Aimed at automotive owner-operators, surfacing the exposure nobody has priced.
A narrow reconciliation engine scoped to invoicing alone — no platform, no migration, no six-month rollout. Aimed at automotive parts managers, proving value before anyone signs anything.
Point a retrieval engine at knowledge capture, and let people review output instead of producing it. Aimed at automotive parts managers, taking the phone queue off a human entirely.
Knowledge capture handled by a retrieval engine, with a human signing rather than writing. Aimed at automotive parts managers, holding service constant on a smaller team.
Point a forecasting model at maintenance planning, and let people review output instead of producing it. Aimed at auto repair owner-operators, so the work stops following people home.
A forecasting model that handles maintenance planning end to end and hands a human the exceptions rather than the queue. Aimed at auto repair service managers, holding service constant on a smaller team.
Point an anomaly detector at reconciliation, and let people review output instead of producing it. Aimed at auto repair service managers, catching the error before it becomes a change order.
Contract analysis handled by a retrieval engine, with a human signing rather than writing. Aimed at auto repair technicians, holding service constant on a smaller team.
A retrieval engine that handles document review end to end and hands a human the exceptions rather than the queue. Aimed at equipment rental owner-operators, writing down what only one person knows.
A reconciliation engine that sits beside the existing system, reads what it already produces, and closes vendor management. Aimed at equipment rental dispatchers, proving value before anyone signs anything.
Point a document parser at intake & triage, and let people review output instead of producing it. Aimed at education registrars, holding service constant on a smaller team.