Case Study: Automatically Update Shopify Products Based on Search Results

The Problem

Managing a growing Shopify store means constantly updating product information — prices, descriptions, tags, inventory notes, or status changes.

When updates are needed across multiple products (for example, products with the same tag, vendor, or keyword), store owners often have to search and edit each product manually. This is time-consuming, repetitive, and very easy to mess up, especially at scale.

As catalogs grow, keeping product data accurate becomes a real operational headache.

The Solution

We built an automation using Make.com and Shopify that updates products automatically based on search results.

Instead of manually editing products one by one, the workflow searches for products that match specific criteria (title, tag, vendor, SKU, or other attributes) and applies updates in bulk.

This ensures product listings stay consistent, accurate, and always up to date.

How the Workflow Works (High Level)

No manual searching. No repetitive editing.

Results & Impact

Product updates that once took hours can now be done in minutes.

How We Handle Similar Client Requirements

For similar scenarios, we tailor the automation based on how the store operates. We can:

Using Make.com and Shopify, we help e-commerce businesses manage large product catalogs efficiently without manual workload — clean, fast, and scalable.