HIVERY @ NACS Show 2023

Atlanta | Georgia World Congress Center | Oct 3-6 | Booth B4319

Join us at the NACS Show 2023 in Atlanta, where we'll be showcasing our pioneering AI-powered store-level retail analytics.

Experience how HIVERY Curate can develop your retail merchandise strategy at the store level. Ask strategic questions, run rapid simulations, and optimize your store's space and assortments to cater to local shoppers' unique needs. Local matters.

Visit us at booth B4319 in the New Exhibitor - Technology section.

Download flyer

Artificial Intelligence for optimizing & simulating portfolio, assortment, and space at-shelf strategies

HIVERY Curate allows you to make more effective decisions that matter to you, your shoppers, and suppliers.

  • Where is the best ROI of localization vs. operational execution?
  • What is the opportunity to re-optimize my current assortment?
  • What is the optimization opportunity of clusters vs. store-specific?
  • Which stores will new item innovation perform best to drive category growth?

Meet some of our HIVERIANS at NACS

Heather Martin

Vice President of Sales

John Pracht

Sales Director

Tijuana "Tee" Monetude

Tijuana "Tee" Monetude, Enterprise Sales Director

Enterprise Sales Director

Our latest thought leadership.

How AI Enables Convenience Stores to Be Community Stores Through Assortment-Space Aware Planograms

How AI Enables Convenience Stores to Be Community Stores Through Assortment Space Aware Planograms

Today C-store retailers spend months strategizing, planning, and negotiating with hundreds of suppliers to determine...

Discovering 'Sleeper Stores': How AI is Redefining Retail Insights and Shaping Buying Behaviors

Discovering 'Sleeper Stores' with AI

Traditional demographic data may not always reveal everything about consumer preferences. For example, the popularity of Texas sauce extended beyond state lines, challenging assumptions about regional preferences.

Optimizing Days of Supply with AI: A Closer Look at Standard Deviation Reduction

AI can help optimize the standard deviation around DOS for categories.

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