Smart fitment prompting, ACES-native data, and AI-powered search that recognizes vehicles and parts — not just keywords.
Most auto parts sites offer some version of Year/Make/Model. Parts Square goes further.
A Year/Make/Model interface your customers already understand and trust.
Submodel, engine, body style, drivetrain, and more — only when the data requires it.
Checks actual ACES application data, not just text matches or generic filters.
We only ask for extra details when the part actually needs them. If a product fits all engines and body styles, we don't force unnecessary dropdowns.
Different businesses need different levels of precision
Use just Year/Make/Model for broad-fit products and easy browsing.
Ask for more upfront (engines and trims right away), or keep the selector lean and prompt only when required for specific parts.
Most platforms treat the search box like dumb text search. We're smarter.
Parts Square uses AI and named entity recognition (NER) to understand what shoppers type:
"2014 honda accord brake pads"
"f150 ecoboost shocks"
"ac belt for 2018 silverado 5.3"
Year
2014, 2018, etc.
Make
Honda, Ford, Chevrolet
Model
Accord, F-150, Silverado
Part Intent
brake pads, shocks, belt
Automatically detect and select the vehicle
Show only compatible parts based on ACES data
Prioritize right category and compatible SKUs
To the shopper, it feels like magic: They just type what's in their head — the system does the structuring.
More than a dropdown of product names
Shows vehicles, part types, brands, and products as you type
Typo tolerance (e.g., "acord" → Accord)
Popular queries and categories to guide shoppers
In-stock, local pickup, or sale items
All of this runs on an enterprise-grade search stack, tuned specifically for auto parts.
Wrong-part orders kill margin and trust
Always respect application fitment data from ACES.
Ask for extra detail only when necessary for accurate fit.
Make it obvious which vehicle is selected, with easy changes.
Avoid "close enough keyword matches" that generic platforms use.
If you want Year/Make/Model search that behaves like a real parts counter — recognizing vehicles, prompting smartly, and actually enforcing fitment — book a demo and we'll show you how it works with your catalog.