Better forecast accuracy
Machine learning typically outperforms spreadsheet averages, especially for seasonal and promoted items.
Planforce Demand Planning uses machine learning to forecast every product, customer and location, then gives your team the tools to segment, adjust for promotions and sign off a single number.
Planforce picks and tunes the right model for every item automatically, using your sales history, seasonality, trends and events. Planners see the forecast, its expected range and what is driving it.
| SKU | Description | Next 4 wks | Accuracy | Driver |
|---|---|---|---|---|
| 40217 | Oat drink 1L | 2,430 | 93% | Trend + season |
| 40388 | Granola 500g | 1,180 | 89% | Promotion |
| 41102 | Almond butter | 640 | 86% | New listing |
Group your range by value and demand variability so your team spends time on the products that matter, while stable lines run on autopilot.
| Segment | Forecast method | Review | Service level |
|---|---|---|---|
| AX | ML, weekly | Weekly | 98% |
| BY | ML + seasonality | Fortnightly | 95% |
| CZ | Intermittent model | Monthly | 90% |
Model the uplift of promotions on top of the baseline forecast, learn from past events, and share the expected volume with supply before the deal goes live.
| Promotion | Weeks | Mechanic | Uplift | Status |
|---|---|---|---|---|
| Spring deal | W17–W19 | 20% off | +46% | Approved |
| 2 for £5 | W23–W24 | Multibuy | +41% | In review |
| Summer launch | W28 | Display | +18% | Draft |
Run your monthly planning cycle in one place. Assign reviews, capture sales input with comments, and route large changes for sign-off.
| Category | Owner | Change vs ML | Comment | Status |
|---|---|---|---|---|
| Beverages | A. Patel | +4.0% | New listing at retailer | Approved |
| Cereals | M. Jones | −2.5% | Price rise in Dec | Sales input |
| Snacks | L. Chen | 0.0% | — | Pending |
| Spreads | A. Patel | +9.5% | Above threshold | Needs sign-off |
Typical outcomes for small and medium businesses. Results depend on your starting point and data.
Machine learning typically outperforms spreadsheet averages, especially for seasonal and promoted items.
Automated forecasts and exception lists replace manual spreadsheet updates.
Sales, finance and operations work from the same approved forecast.
Project stock levels ahead and set safety stock by segment and service level.
Explore Inventory Planning →Turn plans into replenishment proposals and supplier orders.
Explore Supply Planning →Build price lists, compare competitors and track pricing performance.
Explore Pricing →