Sales history CSV
textareaRequired input
Noderan MarketplaceData & Intelligence
Demo ReadyLive E2E verifiedDeterministic~10s
Demand Forecast Preparer
Profiles sales history rows into demand forecast inputs with seasonality and outlier notes for planner review. Returns structured, review-ready output without triggering any external action.
Profiles sales history rows into demand forecast inputs with seasonality and outlier notes for planner review.
Before you run
Workflow summary
Profiles sales history rows into demand forecast inputs with seasonality and outlier notes for planner review.
What is Demand Forecast Preparer?
Demand Forecast Preparer is a ready-to-run Noderan marketplace workflow for data & intelligence teams. It helps users move from a manual process to a repeatable automation with visible credit cost and app-based execution.
- Who is it for?
- Demand planners
- What problem does it solve?
- Profiles sales history rows into demand forecast inputs with seasonality and outlier notes for planner review.
- How does it work?
- Profiles sales history rows into demand forecast inputs with seasonality and outlier notes for planner review.
- How does pricing work?
- 1 credit per run.
- What is the next action?
- Open the app marketplace to activate this workflow, or review credit pricing.
Demand Forecast Preparer FAQ
Short answers for activation, pricing, inputs, and execution review.
Profiles sales history rows into demand forecast inputs with seasonality and outlier notes for planner review. Returns structured, review-ready output without triggering any external action.
Expected inputs
Demo input
Csv
item,status,score SKU-A steady growth,ready,88 SKU-B promo spike,review,55 SKU-C declining,review,45View raw JSON
{
"csv": "item,status,score\nSKU-A steady growth,ready,88\nSKU-B promo spike,review,55\nSKU-C declining,review,45"
}Output highlights
- rowCount
- columnCount
- headers
- findings
- previewRows
Example result
Row Count
3Column Count
3Headers
itemstatusscore
Findings
Sales rows structured into forecast inputs with outliers flagged.Parsed rows are ready for operator review
Preview Rows
1 structured item
View raw JSON
{
"rowCount": 3,
"columnCount": 3,
"headers": [
"item",
"status",
"score"
],
"findings": [
"Sales rows structured into forecast inputs with outliers flagged.",
"Parsed rows are ready for operator review"
],
"previewRows": [
{
"item": "Example",
"status": "review",
"score": "72"
}
]
}Use cases
- Prepare the demand plan from raw sales rows.
Step 1
Review the workflow and expected credit cost.
Step 2
Connect the tools or inputs required for execution.
Step 3
Run the workflow and inspect outputs in the app history.