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AI in e-commerce

Topic AI in e-commerce — 11 postsClear ×

  • Agentic commerce

    | Article: 5 min read

    Agentic commerce is shopping in which an AI agent acts on a person's behalf: it searches for and compares products, and within the permission it has been given it can also place the order and pay. For a store, this means part of the "visitors" will be…

  • Technical debt

    | Article: 6 min read

    Technical debt is the future cost of fixing and reworking that arises when software was built fast and without room for change. Like financial debt, it lets you move faster today, but with interest: every next change costs more and takes longer.

  • Vibe coding

    | Article: 4 min read

    Vibe coding is building programs where a person describes the task in ordinary language, AI writes the code, and the person accepts the result almost without checking it and goes by whether it "looks like it works", adding new wishes in the chat. For quickly…

  • How an online store team uses AI every day

    | Article: 2 min read

    AI in a store team's daily work is a set of small, repeating tasks in which a language model prepares a draft and a person checks it and decides. The value comes not from separate "smart" features but from simple habits assigned to specific people.

  • AI automation for an online store

    | Article: 5 min read

    AI automation for an online store means handing part of the repetitive work to a language model (ChatGPT, Claude, Gemini and the like): draft descriptions and translations, a first reply to a customer, search through a knowledge base, spreadsheet analysis. It…

  • AI in customer support

    | Article: 5 min read

    AI in customer support means using language models and chatbots to answer customer requests: order statuses, delivery and return terms, routine questions. It works well on simple, verifiable requests backed by data from your systems, and poorly where a…

  • AI agent

    | Article: 3 min read

    An AI agent is a system built on a language model that decides for itself which steps and which tools to use to reach a goal, and then carries those steps out: it looks up data, opens pages, changes records. A chatbot replies to messages. An agent does tasks.

  • AI risks in an online store: data leaks and prompt injection

    | Article: 4 min read

    AI risks in a store are the dangers that appear when a chatbot, assistant or automation built on a large language model (LLM) gets access to customer data, the catalog or systems: the model may reveal too much, carry out someone else's command hidden in a…

  • AI for store data analysis: what you can trust it with

    | Article: 3 min read

    AI analytics means using language models (chat assistants and assistants built into analytics tools) to ask questions about your store's data in plain words: "why did revenue drop?", "which products earn the most?". Models prepare queries and explanations…

  • MCP (Model Context Protocol)

    | Article: 4 min read

    MCP (Model Context Protocol) is an open standard that lets AI applications (Claude, ChatGPT and others) connect securely to external systems: files, databases, CRMs, spreadsheets, services. The official documentation compares it to USB-C for AI: one type of…

  • AI for catalog content

    | Article: 4 min read

    AI for catalog content means using language and image models to prepare product descriptions, attributes, translations and images for an online store. A model drafts quickly, but it does not know the facts about your product: you have to give them to it and…