Figma to Bloomreach Fastrack - AI Agent: Learn more

Contact Us
See where your fitment data breaks

A clear view of your fitment data.

fitment app

One audit. A clearer view of your fitment data.

Parts buyers won't order a part unless they're sure it fits. If your site can't confirm it, they call your team, take a guess, or buy from someone else. You rarely see any of this in a report.

Fitment errors are hard to catch. Your data comes from dozens of suppliers in different formats, and it passes through systems that were never built for fitment. A single wrong match can sit in your catalog for years, sending buyers away without anyone noticing.

The audit brings those problems to the surface. It checks a sample of your data against ACES, PIES, and your supplier feeds, then shows you where fitment breaks, where buyers get stuck, and what AI can realistically fix. 

From scattered files to confirmed matches.

Automotive

Two parts can look identical and still fit different vehicles. We match parts, kits, and superseded numbers to the right year, make, model, trim, and engine. We work with ACES and PIES feeds, manufacturer datasets, and ERP exports, including the legacy parts and new suppliers that standard feeds miss. 

HVAC

Contractors need the right part for the unit in front of them. We match each part to the right unit, tonnage, and refrigerant spec, so old part numbers and discontinued models lead buyers to a current option they can order.

Industrial machinery and equipment parts

Every machine, model, and configuration comes with its own parts list. We bring legacy ERP exports, supplier spec sheets, and merged catalogs into one structured data model that you own. Discontinued and superseded parts stay sellable.

From scattered files to confirmed matches.

Most fitment tools are search widgets layered on top of a catalog. But a polished search on inconsistent data still frustrates buyers. Fitment is a data problem before it's a design problem, so that's where we start. AI handles the matching at scale, and senior experts review the results.

  1. We start with the foundation. Fitment data often lacks a single source of truth, relies on brittle integrations, and drifts across schemas. We score your data maturity, from Fragmented to Agent-Ready, before we build.
  2. We build end to end. Our integration layer and data architecture move fitment data cleanly across ERP, PIM, and commerce systems. AI agents then keep matches up to date as new model years, supplier feeds, and catalogs come in. Built once, reused.
  3. Expert review at every step. AI brings speed and a senior Datmos expert brings judgment. Matches and data structures are reviewed before they go live.
  4. We build only what you need. No generic platform with features you'll never use. The result is leaner and easier to maintain.
  5. We design around your ERP. Enterprise fitment data usually lives in systems never built for fitment logic. Reconciling that environment is where our data engineering expertise comes in. Your data stays in your own stack, so you can change AI models later without rebuilding.

Put your fitment data to work