Machine Learning Can Improve Retail Planning–and Your Bottom Line
Retailers that have managed to successfully adapt are using machine learning-powered technologies that can tackle the most complex retail supply chain challenges, such as new product introductions, extreme and dynamic seasonality, promotions and even short shelf-life items. Machine learning is helping savvy retailers optimize supply chain planning to increase fill rates, improve on shelf availability, and turn inventory over more rapidly. With machine learning in retail planning, retailers can optimize inventory and replenishment to achieve higher on shelf availability while right-sizing inventory.
Our retail brief covers:
- What is machine learning?
- How machine learning helps retailers better predict volatile demand
- How to use machine learning to tackle retail supply chain challenges like new product introductions, extreme and dynamic seasonality, promotions and even short shelf-life items
- How you can take the next step to try machine learning