For auto parts retailers

Built for catalogs where the SKU is the easy part.

Auto parts pricing isn't a price problem. It's a fitment problem, a cross-reference problem, and a tier problem. Retailgrid handles all three in one workspace — without forcing your team into a system that doesn't understand automotive retail.

retailgrid.io/pricing
Retailgrid pricing grid showing live competitor prices, price ranges, and competitor analysis across SKUs
The auto parts reality

Every SKU has five identities. Pricing has to know all of them.

An auto parts SKU has an OE number, an aftermarket equivalent, two or three brand cross-references, and a fitment window that may cover 40 vehicle variants. Spreadsheet pricing falls apart on the first cross-reference.

3–5
Cross-reference identifiers per SKU on average
40+
Vehicle fitments mapped to a typical aftermarket part
100k+
SKUs in a typical mid-market auto parts catalog
How it works for auto parts

From cross-reference chaos to fitment-aware pricing — in days.

No multi-quarter rollout. Most auto parts teams price their first category in Retailgrid within a week of uploading the catalog.

01

Upload catalog + cross-refs

Drop in your SKUs, cross-reference data, fitment mappings, and tier structure. Retailgrid maps it into the grid and surfaces the gaps.

02

Set tier & fitment rules

Define margin floors by tier, competitive positions by category, fitment-driven adjustments. Configure once, run across the catalog.

03

Reprice and audit

AI agents reprice against competitors mapped through cross-references. You approve in bulk. Every change traces back to the rule and the cross-reference that drove it.

Stop pricing 100k SKUs like they're all the same.

See how Retailgrid gives auto parts retailers cross-reference intelligence, fitment-aware pricing, and tier discipline — in one workspace.