on 2020 Apr 23 3:57 PM
Hi,
I'm having some issues when running Demand Sensing. The output from Demand Sensing is always matching my consensus demand quantity. I think it's because I have getting the following error message
Not enough data to find weekly pattern in lag 0. Default weights used.
Not enough data to find weekly pattern in lag 1. Default weights used.
Not enough data to find weekly pattern in lag 2. Default weights used.
Not enough data to find weekly pattern in lag 3. Default weights used.
Not enough data to compute daily profiles in lag 0. Default weights used
Not enough data to compute daily profiles in lag 1. Default weights used
Not enough data to compute daily profiles in lag 2. Default weights used
Not enough data to compute daily profiles in lag 3. Default weights used
I have ensured my Main input for forecasting (Requested Qty) has 365 days historical data and my snapshot key figure (Consensus Demand Snapshot) has 52 weeks historical data for Lag 0,1,2 & 3.
Can anyone point me in the right direction of what I could be missing?
Thanks.
Ali
Hello Ali,
I also got the same issue but I have resolved it. what is Baseline WMAPE threshold (%) value you used? and second thing make sure your near past data for Downsteam signal KF should be good enough for system to identify the pattern if you are using Downstream signal.
Share screenshots if possible.
Regards,
Pravin tikar
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Hi Pravin,
I am also getting the same error .I have kept the WAMPE threshold value very less to 0.01. But still, the Demand Sensing algorithm doesnt work and Consensus Demand is copied to Sensed Demand Qty. Kindly let me know what additional setting is required in this to make it work.
Thanks
Aasif
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