How can I analyze insights from my multi-vendor marketplace?

Upload vendor policies, product catalogs, and FAQs into Chatref’s knowledge-base. The AI agent grounds every answer in that real content, so when a customer asks about a specific vendor’s return policy, the reply is accurate. This same content helps the agent later tag conversations by vendor, product line, and customer intent, turning raw chats into structured data.

Enable conversation-tags to label interactions as they happen. The agent applies tags like “Vendor A,” “shipping inquiry,” or “buying signal” based on the context in your knowledge-base. You can also add manual tags for niche cases. This creates a clean, searchable record of every vendor mention and customer behavior pattern - no exporting to a separate analytics tool.

The Insights feature digests all tagged conversations into weekly emails. See which vendors generate the most support requests, which ones trigger repeat “where’s my order?” tags, and where you may need to update policies or train sellers. Compare vendor performance at a glance without spreadsheets - data analytics happen automatically inside Chatref.

Tags reveal exactly how buyers behave across vendors. The Insights report highlights what customers ask about most, which product categories draw deeper questions, and how many chats turn into purchase intent. You learn not only what’s broken but what’s working - so you can double down on vendor training, inventory, or marketing that truly drives sales.

What data analytics tools are available?
Chatref provides built-in conversation-tags and Insights reports. Tags transform chats into structured data dimensions (vendor, behavior, product), and Insights delivers weekly automatic digests showing trends, top tags, and support gaps - no external BI tool required.

How do I track vendor performance?
Use conversation-tags to label every chat by vendor name. The Insights digest then surfaces per-vendor metrics like total tagged conversations, common issue tags (e.g., “late shipment”), and resolution frequency. This gives you a data-backed view of which vendors need attention without manual tracking.

What can I learn about customer behavior?
Tags like “price comparison,” “bulk buy,” or “pre-purchase question” expose exactly what shoppers want. Insights reports then show behavior patterns: which vendors attract repeat intent signals, which product lines cause the most confusion, and where customers consistently convert or abandon. It’s direct behavioral data from real conversations.