A chat advisor bot with memory and a live catalog

The scenario replies to customers in Slack like a real advisor: it pulls live products from retailCrm and remembers the conversation.

  • Answers from live products and prices in retailCrm
  • The bot remembers the customer's past messages
  • Feels like talking to a real advisor
  • Works right inside Slack
Postgres Chat Memory
Set it up for yourselfScriptera

How it works

To connect Slack and retailCrm, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: Telegram Trigger
  2. Then: Code in JavaScript
  3. Then: Get many products
  4. Then: AI Agent
  5. Then: Code in JavaScript 2
  6. Then: Send a text message
  7. Then: OpenAI Chat Model
  8. Then: Postgres Chat Memory

You can launch this Slack + retailCrm integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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