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7 posts tagged with "API"

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From PLM to Shopify in One Prompt: Building Sync Check with reShapr

· 8 min read
The e-commerce team asks its AI assistant, one reShapr endpoint exposes five tools, and two systems answer: the product catalog and the Shopify storesThe e-commerce team asks its AI assistant, one reShapr endpoint exposes five tools, and two systems answer: the product catalog and the Shopify stores

Every season, the team at a fashion brand I worked with has to get product and price data from its PLM (Product Lifecycle Management) system into several Shopify stores. Until recently, that meant manual edits and spreadsheet imports: a few minutes per SKU, per store, multiplied across every store and every season.

Today, someone on the team types "Sync Mila Leather Black to Retail for SS27" into their AI assistant (like Claude, Codex, etc.), and it's done.

I'm an independent automation consultant, and I built the connector behind that sentence, which I called Sync Check, on reShapr. I didn't write an MCP server to do it. Here's how it came together, and why reShapr was the right tool for the job.

Six Use Cases for Accelerating AI with reShapr 🚀

· 5 min read

If you’re aiming to build AI‑native applications faster without sacrificing security or overhauling existing infrastructure, reShapr offers a transformative edge. Here are six compelling use cases showcasing how organizations leverage reShapr to streamline API enablement, accelerate prototyping, and securely integrate AI into production.

Six use cases for accelerating AI with reShapr — from API enablement to secure hybrid deployment

Credit: Osarugue Igbinoba

Why reShapr?

· 6 min read
Diagram showing reShapr translating REST, gRPC, and GraphQL APIs into AI-native MCP endpoints without code changesDiagram showing reShapr translating REST, gRPC, and GraphQL APIs into AI-native MCP endpoints without code changes

Why Enterprises Shouldn’t Build MCP Servers from Scratch, and What to Do Instead​

The AI-native era is here. Whether you’re integrating copilots into internal workflows, building LLM-powered agents for customer service, or exposing organizational knowledge to a retrieval-augmented generation (RAG) stack, the foundation is the same: (your) APIs.

But there’s a major roadblock that nearly every enterprise hits.

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