What is MCP? Model Context Protocol for chatbot integrations
MCP (Model Context Protocol) is an open protocol that lets AI assistants connect to external tools and data sources in a standard way. Here is what it means for chatbot integrations.
Puhera Blog
Guides to e-commerce chatbots
Step-by-step articles on setting up an AI assistant, connecting your store data and measuring the result.
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How to automate "where is my order?" questions with a chatbot
To automate order status questions, connect your chatbot to your order system, verify the customer, and route anything it cannot resolve to a live agent or a ticket.
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How to measure chatbot revenue and conversions
To measure chatbot revenue, track product view, add to cart, checkout and purchase events, then match purchased products to the bot's recommendations by SKU.
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How to use a Google Merchant feed as your chatbot's product catalog
A Google Merchant feed lists your products with titles, prices, availability and links in one structured file. Connecting it to a chatbot is the simplest way to keep product answers current.
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How to generate leads with a chatbot
How to collect leads with a chatbot: when to ask, which fields to include, how to respect personal data, and how to route leads to your team by e-mail or webhook.
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When should a chatbot hand over to a human agent?
When should a chatbot hand a conversation to a live agent, and how do you design the handoff? A practical guide to triggers, priority queues, transcripts and agent capacity.
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How do T-Soft stores automate "Where is my order?" questions?
Automate "Where is my order?" on your T-Soft store with an order lookup chatbot that verifies the customer first and hands tricky cases to a live agent.
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Why AI chatbot answers should cite their sources
Cited chatbot answers build trust, make answers easy to check and reduce the risk of made-up replies. Here is how grounding answers in your own documents works.
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How to set up a WooCommerce chatbot
A setup guide for adding an AI chatbot to a WooCommerce store on WordPress: preparing content for crawling, connecting via MCP, adding the embed script and handling order questions.