Automotive Commerce
We help automotive brands fix stalled commerce projects, clean up fitment data, and get recommended by the AI agents now doing the shopping.
Wrong part returns. Suppressed marketplace listings. Now AI shopping agents that skip any product they cannot verify. Every one of these traces back to the same root cause:
fitment and product data that never reaches the place a customer or a machine can use it.
Automotive Commerce
01
We structure your ACES and PIES data so AI shopping agents can verify fitment and recommend your products.
02
We fix the attribute gaps and feed problems that drive listing suppression and returns.
03
We build, migrate, and integrate commerce systems built around fitment and catalog scale.
04
We step into stalled or under resourced commerce projects
and get them back on track.
Capabilities
From sophisticated B2B purchasing experiences to complex product catalogs and fulfillment workflows, we help automotive brands build commerce ecosystems designed around the way their customers and businesses actually operate.
Create seamless purchasing experiences for dealers, distributors, partners, and B2B customers.
Customer portals
Customer-specific catalogs
Approval workflows
Manage the complexity of automotive product data and merchandising across large, highly configurable catalogs.
Large product catalogs
Product variants
Configurable products and kits
Digital asset management
Support more sophisticated order and fulfillment requirements while giving customers greater visibility throughout the purchasing process.
Drop shipping
Backorders
Order status and visibility
Connect the systems that power the automotive commerce
experience. As integration specialists, we help connect
commerce platforms with the critical systems, data, and technologies across the business to create a more unified and scalable digital commerce ecosystem.
How We Work
We are the partner brands bring in when a commerce project needs strategic or technical depth their team does not have in house. We stabilize what is working, recover what is quietly leaking, and move the catalog forward, in waves rather than one long rebuild.
Why It Matters Now
AI referred shopping traffic grew sharply into 2026 and converts better than traditional search. A machine that cannot confirm your fitment does not warn the buyer. It recommends someone else. The brands getting their data machine ready now are taking share while competitors wait.
393%
growth in AI referred retail traffic, year over year (Adobe Analytics, 2026)
On-Demand Series with Klevu
Complex fitment data is the biggest obstacle between automotive sellers and online sales. In this three-part on-demand series, Crimson Agility and Klevu break down how to fix parts search, sharpen product discovery, and turn fitment data into revenue.
Hosted by Adam Fabian, Crimson Agility CIO and Co-founder.
Making complex part numbers and fitment searchable
Handling OEM and aftermarket catalogs without confusing the buyer
Using AI driven search to improve discovery across large inventories
Real implementations, including a customer case study
Let’s talk today, tell us where things stand and we’ll map your recovery.
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