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Retail Store Cluster Strategies: Leveraging AI Towards Locally Relevant Shelves

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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
Retail Store Cluster Strategies: Leveraging AI Towards Locally Relevant Shelves

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About HIVERY

HIVERY is a multi-award-winning pioneer of hyper-local retailing that offers assortment strategy simulation and optimization solutions to a growing number of large retail and CPG clients in North America. HIVERY is transforming category management, automatic retailing and retail trade promotion with innovative algorithms sourced from Australia's national science agency - CSIRO's Data61.

HIVERY was founded on the vision that Data Has A Better Idea - and we’re working together with our clients to uncover its full potential.

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