Counter staff spend less time hunting parts, and fewer searches end with no option offered.
Seekr Automotive Parts Interchange Agents
Nearly five times the parts interchanges, and a complete view of where the company leads the market and where it has gaps.
An analysis that maps each aftermarket part against the equivalent parts other brands sell, continuously, so product managers decide instead of look up.
What the agent does
Works through product and application data at a volume no team could match, and cross-checks every equivalent part it finds against the catalog.
- Built by
- Seekr, which built and runs the interchange analysis on SeekrFlow
- Contributed by
- Seekr (Explainable AI platform that builds and runs the interchange analysis)
- Industry
- Automotive, Manufacturing & Industrial
- Audience
- B2B
01
The problem
Why this exists
In the aftermarket, every part has to be mapped to the vehicles it fits and to the alternatives other manufacturers sell. Those mappings, called interchanges, decide whether a buyer looking for a replacement can find the part at all.
Read more
This manufacturer, with brands across emissions control, OEM-replacement exhaust, performance exhaust, and off-road suspension, built its interchanges by hand. Someone looked up each new part's applications, searched the market for matches, logged the results in a spreadsheet, and cross-checked them against the catalog. The backlog of existing parts never cleared.
The larger cost was what the company could not see: where it sells a part no one else does, and where a competitor sells a part it does not. At the volume of research required, answering those questions manually was not possible. Earlier attempts with other vendors, including a customer service pilot built on general-purpose frontier models, had stalled.
02
Outcomes
What changes when this is in place
- Nearly five times the number of parts interchanges, across more brands than the company mapped before.
- A complete view of market position, including the parts only this company sells and the parts only the market sells.
- A data-driven basis for development priorities, so the company can close gaps faster.
Read more
- Lower operating cost for interchange work, with higher quality, against the manual process it replaced.
- The analysis keeps running as new parts are released, so coverage does not fall behind the catalog.
03
How it works
Architecture
SeekrFlow supplies the working parts: an AI-ready Data Engine that turns product and application records into input a model can use, and explainability that traces every output to its source.
Read more
For this customer, Seekr built and runs the interchange analysis. The company and Seekr went after the internal problem with the most data and the least human capacity to process it, rather than starting with customer-facing AI. The analysis works through product and application data at a volume no team could match, identifies equivalent parts across brands, and cross-checks every match against the customer's catalog. It also surfaces exclusivity in both directions: the parts only this company sells, which are advantages to protect, and the parts only the market sells, which are development gaps to close. The AI handles the lookups and matching, and product managers review the results and make the calls.
Tech stack
SeekrFlow, the AI operating system for decision-critical environmentsAI-ready Data Engine for unstructured documents, images, and recordsAgent builder for models, instructions, and toolsOpen-weight modelsBuilt-in explainability that traces every output to its source dataCloud, on-premises, edge, and air-gapped deploymentA continuous run that restarts as new parts are released
Next step
Request an intro
Seekr is behind this solution. Ask about mapping your catalog against the whole aftermarket, and the MACH Alliance will put you in touch with the person who can answer.
Not ready to talk to anyone? MACH Insider is the Alliance mailing list. New solutions, program openings, and the research behind them, once a month.
Everyone credited on this solution
- SeekrExplainable AI platform that builds and runs the interchange analysis
Every organization named here has a page listing the rest of its work on the Hub.
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Agentic Achievement Award
Make products easier to find, compare, and buy by completing the catalog details that search engines and AI assistants need.
Agentic Product Data Enrichment
Verification
Contributor submission
The detail on this page comes from the contributor's own account of their own work. The MACH Alliance reviews a submission before publishing it and does not independently verify the figures in it.
What this page does not establish
- The customer is anonymous, so no figure on this page is independently attributable.
- Nearly five times is the customer's own before-and-after count of interchanges; the submission states no absolute totals.
- Cost and quality are compared against the manual process, and the source states no measured figure for either.
- A second project on original equipment data began in October 2026 and runs into early 2027, and it has reported no results.
- The submission names open-weight models but identifies no specific model or benchmark behind the matches.
Where this came from
Drawn from Seekr's submission to the hub, titled "Automotive Aftermarket" and dated Oct 2026. The document names no customer, describing it only as a Southern California automotive aftermarket manufacturer with brands across emissions control, OEM-replacement exhaust, performance exhaust, and off-road suspension.
Status: Live in productionAdded Oct 29, 2026A listing is an editorial decision, not a MACH Alliance certification.
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