Leveraging AI towards locally relevant shelves: Why data has a better idea about your store clusters

We all know that the right assortment in the right space and in the right stores can drive the most value. Locally relevant planograms, while in theory, it may sound great; in practice, it can be very time-consuming, and complicated to achieve. This is where AI comes in.

Download the slides presented by Dirk Herdes, VP of Retail, and Jackie Wightman, Sales Director from the CMA | SIMA hosted webinar which explored how AI is being used to rapidly (minutes not months) determine what is the most efficient cluster count while considering your category goals, merchandising constraints, and impact of demand transference.  Fundamentally changing the way consumer packaged goods (CPG) companies and retailers collaborate with regard to assortment and space decisions.

In the sides, you will learn:

1. How AI is used to help build next-generation clusters using a bottoms-up approach
2. How AI is used to quantify the economic opportunity (in volume and revenue) of any cluster count desired
3. How AI ciphers new shopper profiles at the store level
4. Finally, you will learn where the real power of AI comes in:  The ability to take all the above analyses and rapidly iterate with different strategy simulations