Locally relevant planograms, while in theory, it may sound great; in practice, it can be very time-consuming, and complicated to achieve.

This guide explores how AI is being used to rapidly (minutes not months) determine what is the superior retail store cluster strategies while considering your category goals, merchandising constraints, and the impact of demand transference. 

The guide covers four key areas you need to keep in mind when it comes to AI and delivering smart retail store clusters.

You will learn real practical examples:

1. Ability to leverage bottom-up analysis
2. Allow conducting rapid iteration
3. Show you a clear path to execution
4. Offer transparency in collaboration between supplier and retailer

As an industry, retailers and CPG companies have a lot of potential in the value of investing in and using AI. Download the guide to get started.

Related resources you might be interested in:

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

Insight: Shelf relevance: a revolutionary approach to assortment planning and execution