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Enhance imputed weight logic in Optimizer to account for product hierarchies that are not consistent in weight / dimension classifications.
Example: Department ABC | Personal Care - includes assortment from toothbrush to air conditioners. Product weights are disparate across the Department given product classification within the hierarchy.
Toothbrush: 2 oz
Air Conditioner: 77 lbs
The remainder of the Department averages in weight from ~5-20 lbs. So, the air conditioner is considered an outlier and imputed weight is applied to make it seem similar to the remainder of the Department. The logic must be able to tailor to conditions such as this.
How will this idea be used?
Ensures that the model is applying the appropriate weight / dimension information for all product being optimized within digital orders.
|What is your industry?||Retail|
|What is the idea priority?||High|
|Link to original RFE|