Parts Catalog
Organize SKUs, brands, fitment, alternates, locations, cost, and availability.
An AI-assisted inventory and workshop platform for automotive parts, garage operations, purchasing, and stock control.
These are practical MAK.U activities designed around Garages, parts distributors, workshops, and automotive groups. Select an activity to inspect how it operates.
MAK.U combines live business context, configured rules, and approved tools to recommend or perform this activity with a clear audit trail.
Each capability is part of a connected operating flow, with MAK.U assisting where context, prediction, generation, or orchestration creates practical value.
Organize SKUs, brands, fitment, alternates, locations, cost, and availability.
Generate purchasing recommendations from movement, jobs, lead time, and safety stock.
Reserve and consume parts directly against estimates, vehicles, and repair orders.
Receive, count, transfer, issue, and return stock with scan-first workflows.
Compare pricing, lead time, fill rate, returns, and purchasing history.
Monitor valuation, movement, aging, margin, shortages, and discrepancies.
A structured path that teams can adapt to their approvals, data model, operating regions, and existing software stack.
ABDflow products are designed to be configured around real workflows rather than forcing every organization into one operating model.
MAK.U powers Garventory's contextual recommendations, workflow automation, natural-language assistance, and governed AI actions.
Yes. Garventory is designed around APIs, imports, webhooks, and common business integrations so adoption can be phased.
Yes. Workflows can use permissions, confidence thresholds, audit history, exception handling, and human approval steps.
Yes. The experience is responsive across desktop, tablet, and mobile, with layouts optimized for operational work.
Tell us what you use today, where work slows down, and what your team wants to automate.
Access Demo ↗A typical MAK.U-assisted sequence for this capability: