Practical AI gives US retailers what they want “less chat, more action”
AI continues to dominate retail conversations around customer experience (CX), and with good reason. Emerging capabilities like Agentic Commerce are set to transform how Americans shop online. But while some brands are content to wait for the future, savvy US retailers are more interested in what AI can do for them now.
Taking a pragmatic approach to AI
At Patchworks, we believe that what most retailers really want is “practical AI”. Not hype, but hands-on solutions that solve real-world challenges and remove unnecessary cost and complexity for them and their partners.
Our Integration Platform as a Service (iPaaS) is already helping US retailers like Goodyear, ISG, SoldThrough and Gymshark streamline operations and reduce friction across their tech stacks. Now, we’re extending that impact with AI-powered tools designed to turn operational challenges into competitive advantages.
Removing the heavy lifting and delivering intelligence at scale
Tools like our AI Script Builder and MCP Server are built to make AI work harder for enterprise retailers, simplifying complex integrations, resolving data issues, and optimizing backend processes as their businesses scale.
- Patchworks AI Script Builder
Dev teams can spend hours manually translating essential workflows like EDI 850 purchase orders into Shopify, ERPs, and other formats. With our AI Script Builder they can finally automate these complex messaging processes. Just describe what you want to do in natural language, and it generates ready-to-use code in your chosen software language, including handling keys, values, and payloads. This can save hours of developer time each day, while leading to fewer manual errors and more consistent, reliable data across platforms. - Patchworks MCP Server
For US enterprise retailers and commerce brands, single-use AI tools are no longer enough. They want connected, scalable AI toolkits that integrate seamlessly across their entire tech stack. Patchworks Model Context Protocol (MCP) Server makes this possible by effortlessly connecting to Large Language Models (LLMs) like ChatGPT, Claude, or Google Gemini. Using natural language commands, teams can troubleshoot issues, identify failed orders, and locate sync errors, without digging through logs or relying on developer intervention.
To illustrate the benefits, one of our merchant customers encountered a complex data issue that would normally take its dev team hours to untangle. Powered by Patchworks AI-tools they were able to automatically combine and reconcile multiple data sources, to pinpoint the root cause and resolve the problem, all without manual input.

















































