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Ecommerce & Retail · Commerce Operations

Supplier to Storefront Pipeline

A custom integration automates product data synchronization between a supplier warehouse and a Shopify storefront.

Supplier to Storefront Pipeline
Focus
SHOPIFY, CUSTOM-WEB-APP, THIRD-PARTY-INTEGRATION
Delivered
09 Aug 2024
Location
USA

Outcome

5.8K products synced from a supplier with no API; manual price and stock entry ended.

The Vision & Challenge

The dropshipping model allows e-commerce businesses to offer a vast product catalog without the financial burden of holding inventory. Success depends on agility-the ability to quickly list new products and maintain accurate data for existing ones. Our partner, an online retailer, built their business on this model, curating products from a major third-party supplier for their Shopify store.

Their growth, however, created a significant operational bottleneck. Every product detail, from description and price to stock level and images, had to be manually copied from the supplier's website into their Shopify admin. This process was not only slow and costly in terms of labor, but it was also prone to human error, leading to incorrect pricing and overselling out-of-stock items.

To remove this barrier to scale, we were engaged to design and build a durable, automated solution. We developed a data pipeline that programmatically extracts product information from the source, correctly formats it, and uses the Shopify API to populate the client's store with 5.8K products, eliminating the need for manual data entry entirely.

The challenge

  • The manual data entry process was inefficient and could not scale with the company's ambition to expand its product catalog.
  • Relying on a third-party website with no public API meant the data source was unstructured and could change without notice, posing a risk to any automated system.
  • The client lacked a centralized tool to oversee the synchronization process or trigger updates on demand, leaving them with little control over their own data.

How we solved it

  • We built a custom web scraper to parse the supplier’s website, extracting all necessary product fields and imagery for each item in the catalog.
  • The extracted data is processed through a pipeline that cleans and structures the information, mapping it precisely to the required fields within the Shopify API.
  • A lightweight PHP-Laravel web application provides a simple administrative dashboard, allowing the client to monitor synced products and initiate a full catalog resynchronization with a single click.
A data pipeline in four tiers. At the top a third-party supplier website with no public API, whose markup can change without notice. Below it, a custom scraper extracting every product field and image exactly as found. Below that, the tier that does the real work: cleaning and structuring that raw data and mapping it precisely onto the fields the Shopify API expects. At the bottom, products live on the storefront with prices and stock levels that match the supplier, replacing what used to be manual copying and the overselling it caused.

Technologies

What we built it with

Front-end
  • JavaScript
  • HTML5
  • CSS3
Back-end
  • PHP
  • Laravel
DevOps
  • Linux
Database
  • MySQL
Integrations
  • Shopify
Project screen

Data Synchronization Engine

The core of the system is an engine that continuously monitors the supplier's website for changes. It identifies new products, updates to pricing, and fluctuations in stock levels. This information is then automatically pushed to the corresponding product listings on the Shopify store, ensuring data accuracy without any manual intervention.

Catalog Control Dashboard

We built a simple, secure internal tool that gives the business owner direct oversight of the automation. The dashboard provides a clear log of synchronization activity and product status. It also includes a crucial manual override, allowing the owner to trigger a complete data refresh at any time, providing both control and confidence in the system.

How we built it

Treated a supplier website with no API as the data source anyway, and put a mapping layer between it and Shopify. The supplier publishes everything on their site and nothing through an API, so a scraper reads product fields and imagery from the pages, and a pipeline cleans and structures each record before mapping it precisely to the Shopify API's fields. That separation is what protects the store when the source markup changes: the mapping layer is where the fix lands. A small Laravel dashboard gives the client visibility and a one-click full resync, so 5.8K products stay current without anyone copying a price again.

In the client's words

“Our supplier has no API. Someone was updating 5,800 products by hand. Not any more.”

NDA - Signed

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