Quantify retail merchandising strategies using AI

Explore how AI can transform retailing with true store level strategy simulation & optimization merchandising strategies, while providing better outcomes for you and your CPG partners. HIVERY clients enjoy a 10x profit ROI

HIVERY Curate Retail

The world’s first true store-level retail strategy simulation & optimization solution.

HIVERY Curate Retail leverages artificial intelligence and operations research techniques to optimize the perfect shelf and even the portfolio. By taking a bottoms-up approach to analysis, Curate users identify on average over 5% annual growth for their brands.

A fast and user-friendly Saas-based tool, combined with world-class analytical consulting support, puts the power of advanced AI into the hands of your team. With on-the-fly strategy simulations that project the volume and dollar impact of a certain scenario at shelf, you can be confident you’re marketing and assorting the right products, in the right space, in the right store.

How do we do it?

Strategy simulation & optimization solution

We ingest store-level sales and space data, then we add in your real-world constraints and objectives and our powerful AI identifies the best assortment. Even if you’re rolling up to a cluster or a portfolio, it’s a cleaner, more thorough approach. Plus we’ve automated planograms so it’s actually executable.

HIVERY Curate Retail incorporates your own unique retail constraints, allowing you to simulate strategic scenarios with accuracy and reliability, guaranteeing executable store-specific recommendations forevery cluster dimension or count;eliminating the averages of averages approach.

Industry research and insight

Shelf relevance: a revolutionary approach to assortment planning

Grocery shoppers continue confronting frustrating out-of-shelf situations. Gaps in On-Shelf Availability and On-Shelf Relevancy result in lost volume, lost baskets, and lost faith among shoppers

IDC Research: Next-Gen Merchandising Solutions:

IDC InfoBrief on Next-Gen Merchandising Solutions: New approaches to meet the coming challenges of retail

With 65% of retailers now saying AI is essential for merchandise analytics and 54% of them citing that improving ecosystem collaboration with suppliers is a top priority, IDC is seeing the emergence of Next Generations merchandising solutions.

Webinar: Leveraging AI towards locally relevant shelves

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

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.

Podcast: Future of retail is here: from in-store flying-blimps to hyper local assortments

Ken Fenyo is a leading expert on omni-channel retail, subscription e-commerce, retail innovation, and loyalty. He sat down with shared this insight future of retailing

What AI-Driven Decision Making Looks Like

Many companies have adapted to a “data-driven” approach for operational decision-making. Data can improve decisions, but it requires the right processor to get the most from it. Many people assume that processor is human.

Win or retain category captaincy. Learn how AI can help

AI can augment category management with a two-sided “Protect & Grow” strategy. In this blog, you will learn now and more

Discussion & demo

Dirk Herdes, VP of Retail Sales North America

Experienced Professional Services Executive helping Retail and CPG connect the dots between data and analytics to drive smarter execution. Proven leader in building high performing teams by attracting, developing and maintaining top talent. Believes in servant leadership and helping people find that same creative spark when telling stories powered by data.

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