AI Workspace
The AI menu in Dashboard is the merchant AI workspace. It contains three areas: AI Chat, AI Balance, and MCP Console.
AI Chat
AI Chat is an AI assistant that understands your shop data. It connects directly to Etalasse through internal tools, so it can read your products, sales, customers, and reports — and help you work faster.
What you can do in AI Chat:
- multi-thread conversations — create separate conversations for different topics
- file attachments — upload files to discuss or analyze within a conversation
- tool-based actions — the assistant can fetch shop data (products, orders, reports) to answer your questions with real numbers
- thread branching — take a conversation in a different direction without losing the earlier context
Examples of useful questions:
- "Which products sold best this month?"
- "Write a description for my new product"
- "How many orders are still unprocessed?"
AI Balance
AI features run on a prepaid AI balance in Rupiah (IDR):
- every subscription plan includes a monthly AI quota based on the plan tier
- when the monthly quota runs out, usage automatically continues from your top-up balance
- topped-up balance never expires and has no expiry date
- top-ups are paid through the supported online payment methods
The AI Balance page shows your current balance, top-up amount options, and a usage history (ledger) so you always know where your balance went.
MCP Console
The MCP Console shows the health status of the Etalasse AI connection and the list of available tools. This page is useful for:
- confirming the AI integration is healthy
- seeing which capabilities (tools) the assistant can use
- helping technical teams or integrators verify the setup
For integrators, Etalasse also provides the same MCP server for connecting external AI clients — with OAuth authentication and tool coverage spanning catalog, orders, reports, and bookings.
Good practices
- review AI-generated content before publishing it to customers
- ask specific questions ("this week's sales versus last week") to get sharper answers
- monitor the usage history in AI Balance to understand your team's usage patterns