E-Commerce
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.
Create a Shopify Store-Aware Conversational Chatbot
We turned a basic Shopify custom app install into an immediately useful, store-scoped AI chat experience. This deep dive walks through our OAuth flow, tenant/shop mapping, AI orchestration pattern, guardrails, and operational hardening so each merchant lands in an intelligent chat already aware of their store.
Using Shopify Liquid to Add Visible and Hidden Cart Line Attributes from Metafields
Learn how to add cart line attributes (line item properties) to Shopify cart items using Liquid, including a simple convention for visible vs hidden attributes and concrete metafield-based examples.
Prompt-Based Product Discovery Demo Using MCP
This live demo shows how prompt-based product discovery transforms how customers navigate complex product catalogs. Powered by MCP, users can describe what they need in natural language and instantly surface the right products, configurations, and options without friction.
Endertech MCP 101 Webinar - How does MCP relate to ChatGPT, Claude, Grok, etc...
AI can generate insights. But without execution, it does not create value. This MCP 101 webinar session breaks down how the Model Context Protocol connects models, data, and systems into an operational layer that drives real outcomes across retail and ecommerce.
We Replaced Shopify Search With AI — Here’s What Actually Happened
How we built a custom MCP + OpenSearch product discovery system—and what real customers are already doing with it.
Shopify ChatGPT Checkout Payments Explained: Who Handles the Money and What the 4% Fee Really Is
A clear, non-technical breakdown of how payments work with Shopify ChatGPT Instant Checkout: who processes the money, what OpenAI’s role is, how the 4% platform fee works, and what this all means for merchants and customers.
The Agentic Shift: Why E-Commerce Brands Need an MCP Server Now
We are entering the era of "Agentic Commerce," where AI agents like ChatGPT and Gemini handle the entire shopping journey. While Shopify’s Universal Commerce Protocol (UCP) opens the door, building your own private Model Context Protocol (MCP) server is how you take control. Discover why owning your data infrastructure is the key to maintaining a competitive edge.
Integrating Avalara with Shopify Checkout to Clearly Show Recycling Fees
Some states require mattress recycling fees to appear as their own tax line during checkout. This article walks through how we combined Avalaras AvaTax API, Shopify metafields, middleware, and Checkout UI extensions to display a clear tax and recycling-fee breakdown in Shopify checkout for two brands.
Bringing In‑Store Personalization Online: How We Integrated STORIS with Klaviyo Using Webhooks
How we connected STORIS to Klaviyo with a custom webhook middleware so retailers can use in‑store quotes, orders, and fulfillments to trigger personalized email flows, review requests, and smarter segmentation—bringing online‑level personalization to the showroom.
How Shopify Shop Metafield Objects can be Used to Show Information about your Brick and Mortar Stores
This guide shows how to centralize store details in Shopify using shop metafields (and metaobjects) and render them across your theme. Set up fields for hours, address, contact, and policies, then use Liquid snippets to keep headers, footers, and templates consistent and easy to maintain.
AI Can Run Your Ecommerce Customer Support
Traditional live chat systems struggle to keep up. Even with 24/7 support teams or chatbots, responses often feel robotic, and handling real data (like orders, returns, or account details) is difficult without custom development. With rapid progress in agentic intelligence over the past few months, today’s AI systems are far more reliable and less error-prone than they were a year ago.