How it works
To create salebot records from wildberries without manual input, use a ready-made scenario.
- Starts when: Schedule Trigger
- Then: Read Companies
- Then: Build Week Window2
- Then: Get Impression data
- Then: Flatten
- Then: Add Impressions to Sheet
- Check: Merge2
- Then: Join All
- Then: format
- Then: Overall one-liner
- Check: Merge One Liners
- Then: Normalize Keys
- Check: Attach recipients
- Then: Group Three Lines Per Company
- Then: All-companies Slack
- Then: Per Company Slack
- Then: Create Email
- Then: Per company email
- Then: Read Recipients
- Then: Normalize recipients
- Then: Reviews one-liner
- Then: Impressions one-liner
- Then: Get Impressions (last week)
- Then: Flatten (last week)
- Then: Append row in sheet
- Then: Build Week Window (reviews)
- Then: Set Company (reviews)
- Then: Get Many Reviews
- Then: Map weekly reviews
- Then: Add Reviews to Sheet
- Then: Summarize Weekly Reviews
- Then: Add Weekly Summary
- Then: Build 12-Week Window
- Then: 12 week impressions
- Then: Flatten 12-week
- Then: Add 12 week Impressions to Sheet
- Then: Set Company (total reviews)
- Then: Get all reviews
- Then: All-time Reviews → KPIs (no LLM)
- Then: Add all time Summary
- Then: Build last week window
- Then: Set Company last week reviews
- Then: Get last week reviews
- Then: Map + categorize reviews (last week, single node)
- Then: Summarize Weekly Reviews (last week)
- Then: Build 12-week window (reviews)
- Then: Set Company last 12 week reviews
- Then: Get last 12 week reviews
- Then: map and summarize last 12 weeks reviews
- Then: Summarize 12-week reviews (totals + weekly average)
- Then: OpenAI Chat Model4
- Then: OpenAI Chat Model2
- Then: Review Parser
- Then: Impression parser
- Then: OpenAI Chat Model
- Then: overall parser
You can launch this wildberries + salebot integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.