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
Know more about improving accuracy of reported inventory with ML solutions