Refinery ‑ Year Make Model

Develop by Shopify

$50

/ Month

14 Days Free Trial

Transform product discovery with advanced hierarchical tagging and search.

Customizable search

Hierarchical tagging

Cascading dropdowns

Automated product linking

Custom attributes organization

About Refinery ‑ Year Make Model

Launched Jul 10, 2025

Built by Shopify

Address

Leona Czarlińskiego 19, Torun, 87-100, PL

Website Support Portal Privacy policy Tutorial FAQ Document

Unlock Deals 20% off

BON Loyalty Program & Rewards

(1,682 Reviews)

Unlock Deals 20% off

Sponsored

Loyalty rewards program with points, POS, referrals &...

Description

Search a store’s products using customizable Year, Make, and Model fields powered by product tags.

Advanced hierarchical product tagging and search that transforms how customers find products in your store. Use intelligent tag tree generation to automatically organize products by custom attributes like brand, model, category or any product characteristics. Create structured filtering systems with cascading dropdown selections that guide customers to exactly what they need. Generate tag hierarchies from existing product data and apply them instantly to your storefront with customizable search.

Automated year make model product linking using tags
Cascading dropdown search interface
Customizable storefront integration
Save and use multiple YMM groups at once

Pros

Advanced hierarchical product tagging and search enhances product discovery.
Intelligent tag tree generation allows automatic organization of products by custom attributes.
Structured filtering systems with cascading dropdown selections guide customers to what they need efficiently.
Ability to generate tag hierarchies from existing product data and apply them instantly.
Customizable storefront integration makes it adaptable to various businesses.
Supports automated year make model product linking using tags.
Enables saving and using multiple Year Make Model (YMM) groups simultaneously.

Cons

Complex setup may require technical knowledge for optimal use.
Dependence on existing product data quality for generating effective tag hierarchies.
Potential over-reliance on automated systems might lead to misclassifications if not monitored.
Customizable options might be overwhelming for users looking for simple solutions.