Investigate and fix demand anomalies

Find the products with suggested corrections of past demand, then keep, change or remove each correction.

Check the corrections Flowlity made to your demand history (outliers, shortages, past promotions, launch peaks) and decide for each one whether it reflects what really happened.

Before you start

• You need access to the Demand module and the right to edit events.

• The Demand anomaly agent looks for Outliers, Shortage (0 stock and 0 demand or stock < lot size), Smooth past promotions and Launch detection. See Forecast events and demand adjustments.

1

List the products with suggested corrections

In Demand management > Demand, open the 🛸 Outliers view: it lists products with a possible outlier in the last 90 days. For shortages too, click Alerts > Demand alerts and tick Possible outlier or Possible shortage. These alerts point to corrections you have not checked yet.

To rank stock-outs by their cost, add the Estimated lost sales column and sort on it.

2

Compare cleaned and raw demand

Open a product. On the chart, periods where Cleaned past demand moves away from Raw past demand are the corrected ones. The Anomaly adjustments impact row of the table shows the corrected values. If you don't see it, turn it on in Table settings.

Turn on Raw past demand (N-1) and Raw past demand (N-2) from the legend to check whether the same months were unusual in earlier years.

3

Open a correction

Hover a cell of the Anomaly adjustments impact row. Corrections made by Flowlity carry an AI icon, and their detail says Created by Flowlity. Click one to open the Past demand adjustment window.

4

Keep, change or remove it

• The correction is right: click Mark as read under it in the list.

• The value is wrong: change the Past demand value and click Save.

• The demand was real, for example a genuine one-off order: click the bin icon (Delete adjustment). The raw value is used again.

5

Add your own correction

If Flowlity missed an anomaly, click + under that past period of the chart and choose Add past demand adjustment. Enter the dates and the Past demand value, then click Save. A day can hold only one adjustment.

6

Check how the agent is set up

In AI & automations > Agents, open the Demand anomaly agent and its Configuration tab. It shows which anomaly types are active and how their corrections are accepted. Your Customer Success Manager can change it for you.

For a product with little history, a corrected history is not enough. Link the product it replaces in Product strategy > Forecast > Similar products, or apply the Launch model to a brand-new product. See Product similarities.

Result

Cleaned past demand reflects your decisions, the corrections you marked as read no longer count as unread in the demand alerts, and the next forecast computation learns from the corrected history. Use Compute forecast in the product detail to see the effect straight away.

Related pages

• Diagnose forecast errors

• Forecast events and demand adjustments

• Create and apply forecast events

• Demand forecasting explained

• Demand

• Agents