Locatory.com has folded its Amber AI tool into the company's online parts marketplace, moving the sourcing assistant from a standalone email product into built-in marketplace search that processes complete buyer requirements in a single query.

The aviation parts platform said the upgrade lets procurement teams paste raw inputs — RFQ emails, maintenance department spreadsheets, text copied from other systems, or combined part-number, description and requirement lists — and receive matched listings without first breaking the request into individual part-number searches. The workflow collapses the part-by-part lookups the company called "repetitive" into a single submitted query.

What does the integration change operationally?

Until now, Amber AI operated only as an email-side assistant for inbound sourcing requests. Under the new build, the same three-step logic — scanning the user's text, identifying the individual requirements inside it, and querying the Locatory.com catalogue — runs inside the marketplace's main search window rather than waiting for an inbox delivery.

Locatory.com described the tool as "especially helpful for multi-line requests or those with less structure," the use case where manual part-number lookups tend to slow a procurement desk most. The shift also keeps the request, the search and the resulting inquiry inside one platform audit trail rather than splitting them across inbox and storefront. For procurement desks running tens of open RFQs a week, that audit-trail consolidation could matter as much as the search speed-up, though Locatory.com did not quantify either benefit.

What can sourcing teams focus on instead?

The upgrade is positioned to compress the manual search workload so procurement specialists can shift attention to 12 commercial and technical checks the AI does not perform:

• Availability
• Quantity
• Condition
• Traceability
• Certification
• Release documentation
• Stock location
• Lead time
• Supplier suitability
• Logistics
• Price
• Commercial terms

That distinction matters in regulated maintenance. Certification and release documentation remain a buyer responsibility, and a misread at the search layer can surface a component that looks correct on price and condition but lacks a serviceable tag — the kind of error that pulls a part off an aircraft.

How broad is the catalogue the AI can query?

The new search spans six aftermarket categories:

• Aircraft parts
• MRO capabilities
• Equipment
• Chemicals
• Consumables
• Aviation services

The list extends beyond rotables into chemicals and contracted service offerings, segments smaller operators and independent MROs often source through fragmented channels.

Where do the limits sit?

The release discloses no detail on training data, model architecture, or how the system handles ambiguous part-number strings, synonym mismatches, or duplicate requirement entries — recurring failure modes for retrieval-style search in regulated MRO environments. Locatory.com did not name any airlines, MROs, lessors or stockists using the feature, nor did it publish accuracy, response-time or cycle-time benchmarks against the prior email-only flow. The company also did not specify whether buyers can override, edit or reject AI-suggested matches before issuing a quote request.

Locatory.com framed the upgrade as part of a wider push to support digitalization and AI uptake in the maintenance sector, repeating the goal of letting sourcing teams "minimize manual search tasks." Operational outcomes — RFQ cycle time, quote accuracy, exception rates — remain unstated.

What's next?

The integration will be judged on how much it actually trims RFQ-to-quote cycles for buyers, and on whether the catalogue partners feeding the platform keep their listings, prices and stock data current enough for the model to remain trusted. Both benchmarks are absent from the announcement, leaving the productivity claim unverified for now.