Aviation MRO catalog intelligence for AOG readiness.

No. PartsCleanse AI identifies duplicate evidence for human review and produces confidence-tiered findings — it does not make airworthiness, part-number substitution, or regulatory-compliance decisions. Aviation engineering, quality, and regulatory controls remain authoritative. The diagnostic gives materials, procurement, and planning teams a governed evidence base to initiate controlled catalog review without bypassing flight-safety governance.

Aviation MRO organizations carry high-value rotables, consumables, hydraulic components, and GSE across multiple systems and warehouse locations. Duplicate-record candidates can cause planners to miss available spares during AOG events, trigger emergency procurement signals, and inflate working-capital assumptions. Customer-specific capital exposure and AOG impact require uploaded catalog, inventory, and operational context before action.

Yes. The engine normalizes manufacturer part numbers, manufacturer name aliases, and part descriptions before scoring. UOM, size, pressure class, and material family discriminator checks are applied after fuzzy matching to prevent unsafe equivalencing. The result is a confidence-tiered duplicate family list that maintains traceability while surfacing genuine consolidation candidates for specialist review.

Start with one commodity group — hydraulic components, filters, fasteners, or GSE spares — rather than the full enterprise catalog. A bounded first run validates the engine against your catalog structure, limits change-management scope, and produces an evidence base that quality, engineering, and procurement teams can inspect and approve before expanding to a broader rationalization program.

The best-fit account is a Aviation MRO / Airlines operator with line maintenance, base maintenance, AOG support, ground support equipment, repair shops, and regulated stores, multi-site catalog ownership, and enough ERP or CMMS history for duplicate records to hide working capital. Buying intent is strongest when leadership is already under pressure from AOG avoidance, maintenance turn time, traceability, approved-part discipline, and inventory carrying cost and wants evidence before funding a wider AI or data-governance program.

The strongest trigger is AOG reduction, MRO turnaround, or traceability review. Typical signals include: AOG and maintenance-turn events expose poor spare search and duplicate station stock.; Regulated part traceability requires review evidence, not blind deduplication.; Ground support and aircraft support catalogs often diverge across stations and shops.. At that point, the buyer should not start with a long roadmap; they should run a diagnostic that quantifies duplicate families, value exposure, confidence tiers, and the governed review backlog.

Start with a CSV export containing station, shop, part description, UOM, quantity, cost, manufacturer, MPN, alternate part number, traceability class, and approval status. The most useful evidence fields are: Include station, shop, part description, quantity, cost, UOM, manufacturer, MPN, and alternate part numbers.; Retain traceability, approval, rotable, consumable, and shelf-life indicators where present.; Preserve station or shop ownership so findings can route to line, base, or materials teams.. If criticality, site, supplier, plant, depot, or asset-class fields exist, keep them in the file because they help translate duplicate findings into operating ownership.

The primary buyers are maintenance, materials, quality, supply chain, finance, and reliability engineering. The CFO reads the report as capital exposure and carrying-cost drag; procurement reads it as supplier and duplicate-item leakage; operations reads it as aircraft delay, unfindable spares, duplicated repair-shop inventory, and quality-controlled review burden; and the CIO or data-governance owner reads it as a controlled CSV-only evidence path before any ERP or CMMS record is changed.