Quote and RFQ recovery
Rank open or stale quoted work where engineering and estimating effort has already been invested.
Manufacturers · machine shops · industrial distributors
Manufacturing profit leakage often crosses departments: an RFQ goes quiet, price fails to follow cost, stock stops moving, a vendor transaction needs review, or a component becomes risky. PowerUpFixIt is designed to connect those operating signals into a prioritized action queue.
PowerUp is designed around files smaller industrial teams already know how to produce. The analysis only runs the checks that the supplied fields safely support.
Rank open or stale quoted work where engineering and estimating effort has already been invested.
Surface price dispersion, weak-margin transaction patterns and vendor-payment exceptions for validation.
Prioritize slow, excess and dead inventory by observed movement and cash tied up.
Screen lifecycle, sourcing and availability evidence so teams know which components deserve deeper qualification.
Record which findings are open, in review, resolved or rejected instead of losing the analysis in a slide deck.
Re-run the workflow and distinguish new, worsening and resolved operating issues over time.
The strongest use case is a company with real operational data and meaningful leakage, but not enough analyst capacity to continually stitch exports together by hand.
Manufacturers, job shops and distributors with recurring quotes, many SKUs/vendors, transaction history, inventory complexity or electronic BOMs—and leaders willing to act on validated exceptions.
Businesses with almost no structured operating data, teams looking for guaranteed savings, or companies that already run equivalent controls reliably inside an existing ERP/BI process.
Each useful finding should end with a business decision: who owns it, what evidence still needs checking, what action is next, and whether the result eventually became real value.
Quote log, sales lines, AP, inventory, customer history or BOM.
PowerUp maps the available fields into bounded deterministic checks.
Management gets a short evidence-backed queue instead of an undifferentiated data dump.
Repeat the review, track decisions and verify outcomes over time.