Pattern Recognition not working in IBP Demand sensing

[geethz1010]

forecast-model-1.pngforecast-model-2.pngDear Experts,

We are working on a scenario in Demand sensing to understand how demand sensing does the pattern recognition.

I am using unified planning area for my testing and the following steps were performed.

1)Loaded 52 weeks past data for REQQTY, CONFQTY, ADJUSTEDDELIVQTY.

2)Loaded 52 weeks of past data in the key figure DEMANDPLANNINGQTY which is used as consensus forecast key figure in the forecast model. Executed statistical forecast to create forecast for the future buckets as well.

3)Uploaded values in Snapshot key figure DEMANDPLANNINGQTYSNAP for past 52 weeks.

4)Future Order quantities were uploaded in FUTUREORDEREDQTY.

5)Lag based Snapshots were executed before the demand sensing full run.

6)When we run the demand sensing Full, sensed demand is generated in key figure SENSEDDEMANDQTY.

Issue:-When we try to increase the key figure Adjusted delivery Qty by increasing the delivered for the current and past 8 weeks , and then running demand sensing Update , there are no changes happening in the SENSEDDEMANDQTY key figure and the increase in delivered quantity is not getting detected by the algorithm.

Attached are the screenshots of the forecast models we are using.

Can you please let me know if I am missing anything/following the wrong process?

Thanks in advance for the help!

Regards,

Geethika

[lingaiahvanam · Accepted solution]

Hi,

My suggestion would be to load the snapshot key figure with different values and edit adjusted qty values once again and run the demand sensing.

Best Regards,

Lingaiah