Use case
Revenue forecast video for Retail
Summarize revenue forecasts with assumptions and confidence ranges.
Why Retail teams still ship reports manually
- Store performance updates are slow to compile.
- Regional teams need consistent recaps.
- Manual reporting hides trends.
- KPIs are not shared in a digestible format.
Automate revenue forecast video with an API
- Trigger the workflow when a forecast is ready happens.
- POST structured data to /render using template revenue-forecast-v1.
- Render asynchronously at scale and receive a webhook when the MP4 is ready.
- Deliver the video via email, regional dashboard, or Slack.
Input (structured data)
{
"brand": "retail",
"data": {
"assumptions": "example-assumptions",
"footTraffic": 48210,
"forecast": "example-forecast",
"highlight": "stores",
"inventoryTurns": 5.2,
"period": "2026-01-14",
"promoLift": "12%",
"sameStoreSales": "4.1%",
"stockouts": 32
},
"template": "revenue-forecast-v1"
}Output (deterministic MP4)
- 45-90s MP4 video
- Forecast ranges and deltas
- Assumptions summarized
- Webhook with output URL
Architecture
Data source / event | v Rendivia Render API | v Queue + Workers | v Remotion templates | v Branded MP4 + webhook
How it works
Provide forecast
Include ranges, targets, and assumptions.
Render
POST to /render with revenue-forecast-v1.
Async output
We queue and render reliably.
Deliver
Share with finance and leadership.
Benefits
- Automate store performance summaries.
- Make trends easy to share across regions.
- Deterministic output you can trust in production.
- A repeatable workflow triggered by a forecast is ready.
Common questions
Can I include scenarios?
Yes. Provide scenario arrays for best/base/worst.
Is it deterministic?
Yes. Same input always yields the same output.
Related
Generate revenue forecast video via API
Create an API key and render your first revenue forecast video in minutes.
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