AI Demand Forecasting
Know which SKU runs out, six weeks before it happens
Routeharvest models demand at the SKU-location level. Your planners see the stockout coming before Monday, not after the weekend.
The Monday Problem
Every Monday, the spreadsheet gets rebuilt from scratch. By Wednesday it is already stale.
Planners reconcile last week's demand against this week's open orders before the workday can start.
By the time a shortage is visible, it is five days too late to place a replenishment order with any cushion.
Last season's wrong forecast ties up warehouse space and cash for months before anyone notices the pattern.
How It Works
Three steps from your ERP to a planner inbox
Connect
Routeharvest reads your ERP transaction history and WMS location data. No CSV uploads, no data engineering team required. Setup completes the same day.
Model
An ML model is built per SKU-location pair, trained on your actual demand patterns: seasonality, promotions, lead-time variance, and supplier reliability.
Act
Planner inbox shows: "SKU-042 at Cincinnati DC will hit zero on June 19. Reorder by June 3 to maintain buffer." No spreadsheet. No guesswork.
Early-Access Results
What pilot teams are saying
Works with your current stack
Reads directly from your ERP transaction history and WMS location feeds. No manual exports.
Pricing
Simple tiers, no hidden data charges
- Daily SKU-location forecasts
- 6-week forecast horizon
- Stockout and overstock alerts
- 1 ERP or WMS integration
- Up to 500 SKUs, 2 locations
- Everything in Starter
- Hourly ERP/WMS sync
- Slack + webhook alerts
- API access (read)
- Up to 5,000 SKUs, 10 locations
- Everything in Growth
- Custom ML model tuning
- Full API access
- Dedicated customer success
- Unlimited SKUs and locations
From the Planning Desk
View all articles
Six Weeks Before the Stockout: What Demand Data Actually Tells You
Most stockouts are not surprises. They are signals that sat in the data for six weeks. Here is what to look for.
Why Aggregate Demand Forecasting Fails Mid-Market Distributors
Forecasting at the product category level hides the SKU-location pairs that actually run out first.
The ERP Data Quality Problem No One Talks About in Demand Planning
Dirty transaction records distort every forecast downstream. Fixing data at the source versus compensating in the model.
Stop rebuilding the spreadsheet. Let Routeharvest run the Monday math.
Join the early-access cohort and see your first stockout forecast within 48 hours of connecting your ERP.
Get Early Access