Notes from deployment work: duties sellers run into along the way, technical decisions that are hard to undo, and the places where stores lose the most time.
How to connect a CS-Cart or Multi-Vendor store to an AI assistant through our MCP server and the ss_mcp add-on: API user, add-on installation, Claude and n8n setup, first questions and troubleshooting.
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How an AI assistant in an online store moves from answering to selling: product cards with the current price, the cart from the conversation, an order card and a measure of what the chat earns.
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Why an AI assistant's knowledge base ages in silence, how a list of unanswered questions turns into a work plan, and how to keep knowledge current without a separate project.
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How CS-Cart differs from Multi-Vendor, when you need a marketplace and when a store is enough, and which decisions to make before the first vendor joins the platform.
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What the MCP protocol is, how it differs from pasting an export into a chat, and what to settle before a language model gets access to store data.
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What really separates an AI assistant running on company servers from a hosted one: data, answer quality, time to launch and the cost of keeping it running.
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When an online store falls under Intrastat, in which country the declaration is filed and what product data you need to close it before the deadline.
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