Quickly quantify your retail strategy, gain valuable insights, and execute with confidence.
Industry-proven science wrapped in a deceptively simple interface.
Retail assortment strategy & optimization solution at matters
HIVERY Curate allows you to easily create, validate, and optimize your ideal assortment strategies.
- Uncover AI-driven, retailer-specific assortment recommendations
- Leverage machine learning revenue and volume predictions with demand transfer built-in
- Apply assortment changes, contextualized via KPIs, in real-time.
How do we do it?
Easily create, validate, and optimize your ideal merchandise strategies.
HIVERY Curate is an AI-driven tool that integrates detailed store-level data to optimize product assortments for retailers. It uses advanced machine learning to analyze data, enabling scenario planning within virtual planograms. The tool offers real-time KPI updates and demand transfer analysis during simulations, allowing for precise decision-making on SKU rationalization and space productivity. HIVERY Curate maximizes growth opportunities through tailored retail-specific insights.
Industry research and insight
Webinar: Simulating Merchandising Decisions with AI
In this webinar (converted to a podcast) hosted by Category Management Association; IDC’s Jon Duke, Vice President of Research and Retail Insights, and HIVERY's John Showalter, VP of Client Services, discuss the coming merchandising challenges for retailer
Shelf relevance: a revolutionary approach
Today Retailers, grocers, and brand marketers across the board are taking steps to streamline assortments and make the shelves ‘locally relevant’ and ‘effectively merchandised.
Webinar: Enabling Retail Space Management With AI
In a Delaney Consulting Q1 survey of 56 retailers, store-specific assortments and planograms were selected as the #1 emerging technology with the most potential for Space Planning. It ranked higher than VR, Robotic shelf monitoring, Image recognition, and others
Podcast: Next-gen merchandising solutions to meet the coming challenges
In this webinar (converted to a podcast) hosted by Category Management Association; IDC’s Jon Duke, Vice President of Research and Retail Insights, and HIVERY's John Showalter, VP of Client Services, discuss the coming merchandising challenges for retailer
HIVERY bags new money to automatically optimize product placement on store shelves
HIVERY, a startup that bills itself as an “optimization platform” for retailers, today announced that it raised US$30 million in a Series B round led by Tiger Global
How AI Enables Convenience Stores to Be Community Stores Through Assortment Space Aware Planograms
Hw can advanced analytics, artificial intelligence (AI), more specifically, machine learning models enable convenience merchandising teams to be community stores?
Discussion & demo
John Pracht, Sales Director
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Having a 25-plus-year career path across Retail Ops., CPG sales, Space/Category Management, and consultative services have provided me with firsthand experience with retailers' challenges today.
I started my career in grocery operations; we had a motto; “fast, friendly, fresh, & clean.” In Club, we said, “stack ‘em high & sell ‘em cheap.” Successful retailers stay true to their fundamentals; elite retailers separate themselves by being the first adopters of emerging technology.
Artificial Intelligence is the next technological evolution critical to success in retail. Let’s discuss how hyper-localization & space-aware assortment optimization drives sales and delight retail shoppers.