PO_PAI_ML_CPI_HostLocId

The list of location identifiers from the host system, separated by commas

N/A

PO_PAI_ML_CPI_HostId

The host demand stream identifier of the demand stream to be processed

N/A

#SKU-Stream

Total number of SKU Streams

Annual Forecast (A)

Sum of Annual Forecast of Part A

Annual Forecast (B)

Sum of Annual Forecast of Part B

Average

Average number of associations found per Part

Confidence

The confidence of the association predictions Confidence Category: Low Confidence (0.0 - 0.5) Medium Confidence (0.5 - 0.8) High Confidence (0.8 - 1.0)

Count

Total parts where an association is found

Count A

Distinct count of Part A

Count B

Distinct count of Part B

Fill Rate (A)

Planned Fill Rate of Part A

Fill Rate (B)

Planned Fill Rate of Part B

Group Fill

Multiplication of Fill Rate of Part A with Fill Rates of all its associated Part B

Lift

Lift Threshold:-Lift gives the rise in the probability of having {Y} on the cart with the knowledge of {X} being present over the probability of having {Y} on the cart without knowledge about presence of {X}. Range:[0,Infinity]

On Hand (A)

Amount of stock available for Part A

On Hand (B)

Amount of stock available for Part B

S Max (A)

Stock Max of Part A

S Max (B)

Stock Max of Part B

Sum of Parts

Total Parts A + Total Parts B

Support (A)

Support Threshold for Part A-It gives an idea of how frequent an itemset is in all the transactions. To say in formal terms, it’s the fraction of total no. of transactions in which the itemset occurs. We refer to an itemset as a “frequent itemset” if you support is larger than a specified minimum-support threshold. Range:[0,1]

Support (B)

Support Threshold for Part B

Total Part A

Total number of Parts A

Total Part B

Total Number of Parts B

∆ Fill Rate (A-B)

Difference between Planned Fill Rate of Part A and Part B