Maximizing on-shelf availability for CPGs with Machine Learning

On-shelf availability (OSA) and the accuracy of reported inventory is a challenge which is increasingly becoming a primary focus area for a number of manufacturers. CPGs are maximizing focus on identifying inventory compliance gaps in the retailer network, and drive retailer’s adherence to ensure sell-out maximization. This whitepaper covers how CPGs can solve pertinent problems with the quality of OSA using Machine Learning.

Read this whitepaper to get know more about:

Understanding the OSA problem areas
Different approaches to solve the problem
Solution implementation with illustration
Case study on accurate demand forecasting
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Know more about improving accuracy of reported inventory with ML solutions