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Endertech Takes on the 100 Day Project
If you had 100 days to learn a new skill, improve yourself, or share something you love with the world, would you? At Endertech, we're doing exactly that. We've accepted the challenge of the 100 Days Project to commit to doing something every single day, for 100 days straight. Find out what each Endertechie is doing for the next 100 days and how to keep up with their progress.
Shopify Functions: A Better Way To Customize Shopify
Shopify Functions lets you customize Shopify’s core functionality. This helps developers & merchants build unique shopping experiences.
Serving a Broader Audience Through Localization
Localization can be as simple as translating text on a website’s pages, or as complex as providing different sets of pages, images, and data. The number one reason to add localization is increasing your site’s audience. For a commercial or ecommerce site, a larger audience means increased revenue.
The Shopify Theme and Online Store Editor Explained
Article that breaks down the Shopify Theme and Online Store Editor in order to make better design decisions for your Shopify store.
Shopify Plus B2B: A Guide to B2B Merchant Features
A guide that explores the best Shopify Plus B2B features using a Shopify Plus plan. Learn how Shopify for B2B simplifies your B2B business.
Hydrogen Components, Hooks, and Utilities Explained
Learn how Hydrogen components, hooks, & utilities in Shopify help developers build storefronts that integrate seamlessly with Shopify’s APIs.
How to Prepare Your Product Catalog for AI Shopping (Without Starting Over)
Shoppers are asking ChatGPT and similar tools plain questions before they land on your product pages. If your catalog only has thin titles and generic five-star reviews, those models have little to work with. This guide covers four practical fixes; structured attributes, conversational descriptions, detailed FAQs, and story-driven reviews, plus how that overlaps with SEO. Your content should answer the questions customers already ask.
How I Used AI and Python to Validate STORIS and Inntopia Data for Planning, Mapping, and Pattern Finding
I do not dump whole exports into a chatbot. I use an LLM to help write tight Python that answers one question at a time, prove it on a small sample, then run it locally larger data sets. That keeps work repeatable, cuts token cost, and keeps sensitive fields off hosted tools while I plan integrations and product mapping.