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CASE STUDY:

Predictive Analytics with Point of Sale Data

Can Successful Promotions Result in a Sales Lift?

In a recent experiment, POS data was analyzed to determine the effects of promotions on sales and more accurately, forecast the effects of future promotions on sales and inventory. A predictive model was created to forecast sales during promotions and price changes. In tests of the model, 77% of variance of sales was explained for a product. 

Read more to learn how with the improvements outlined in this case study, that number is expected to increase even further. 

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