HIVERY Curate instant demo

Watch Pablo Mondal, Analytical Consultant from HIVERY, demo how HIVERY Curate works and why it is the world’s first true store level category simulation & optimization solution. One-click, rapid, ML-driven to operationalize your strategy.

Who is Curate for?
  • Category Directors
  • Category Strategic Advisory
  • Category Management
  • Global Category Directors
  • Category Analytics
  • Shopper Insights
  • Key Contact
    Heather Martin
    Who is Curate for?
  • Category Directors
  • Category Strategic Advisory
  • Category Management
  • Global Category Directors
  • Category Analytics
  • Shopper Insights
  • Key Contact
    Heather Martin

    HIVERY Curate transforms CPG & Retailer collaboration

    Increase approval plans, reduce the uncertainty & get mutual alignment fast

    HIVERY Curate is a powerful SaaS-based, ML-driven and applied mathematics (operations research) engine that allows you to run unlimited category simulations & optimizes assortments to cultivate partnership with your stakeholders during joint business planning and beyond.

    HIVERY Curate essentially operationalizes your strategy. All in minutes not months.

    It offer the simultaneous optimization of assortment and space for each unique store - reducing the time involved in category relays and planogram generation from months to minutes.

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

    Dynamic store level category management has finally arrived.

    Category managers, CPGs and retailers can finally manage stores at an individual store level. With HIVERY Curate, Category Management is now a dynamic, intuitive process instead of a long and drawn-out affair. It's the most advanced category management tool in existence, which is why retail giants such as Walmart, Coca Cola, and Red Bull are using it.
    FEATURES

    Minimal training, maximum results

    With technology that originated inData61/CSIRO laboratories, HIVERY Curate is bringing hyper-local retailing to life. It is a user-focused, intuitive tool generating planograms that optimize assortment and space in individual stores.

    Dynamic constraint handling

    Apply your own category objectives, goals and/or constraint to Curate's engine model and ask it to optimize for revenue, volume or profit

    Flexible store-specific or cluster focus

    Generate store-specific or store-cluster recommendations within minutes.

    Audit transparency

    Clearly understand how each constraint impacts your predicted results, allowing for precise refinement in real-time.

    Space & assortment aware

    Simultaneously optimize space and assortment at store-level with set category goals and constraints any cluster dimensions or count

    Simulate scenarios with AI model

    Simulate multiple strategic scenarios (e.g. what will happen if I introduce new SKU into the category?) and run playbacks with scenario analysis to evaluate business impact before implementation.

    Transferable demand & incrementality

    With built-in deep learning, transferable demand and incrementality modelling, HIVERY Curate generates new, incremental revenue that's not possible using any other method. You can see the impact of adding or removing a SKU to your category.

    Demand transfer white paper

    We have been at the leading edge of category management technology. We help some of the world’s biggest manufacturers predict how shopper demand will transfer when products are added to or deleted from a store’s shelf. The key is deciphering a store’s unique purchase behavior.

    Borrowing ideas from deep learning method, HIVERY is able to generate data from random noise (i.e. random numbers) to infer incrementality and demand transferability. It's the world’s first AI driven cannibalization model, and it drives HIVERY's assortment recommendations.



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    Importance of store-specific paper

    There are a number of complex brand strategy questions that are faced by brand marketing professionals on a daily basis, including: Providing consumer insight driven go to market strategies, delivering strong innovation, and building brands across the portfolio.recommendations.





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    BENEFITS

    Set your category objectives, managing constraints and find new profits

    A new set of category objectives and constraints can be applied to generate new planograms instantly, all with audit transparency over the impact of goal, rules and constraints in real-time strategic scenario simulation. The HIVERY Curate model learns and extracts insights from your entire universe of stores and makes store-specific recommendations, realizing goals and guaranteeing recommendations are executable. HIVERY Curate’s engine optimizes product cannibalization to generate incremental category revenue in removing and/or adding category SKUs. HIVERY Curate can even factor in planogram aesthetics and is the only system in the market where you can do this as often as you’d like.

    Manage space constraints such as:

    • Ensuring a product line has at least 1.5 cases on the shelves
    • Making sure a product line is placed higher than others
    • Ensuring that a set of products always stay together on the same shelf

    Manage assortment constraints such as:

    • Ensuring a product line goes into at least X number of stores
    • Requiring that a set of products has exactly X points of distribution
    • Ensuring at least 2 out of 4 products goes into every store

    HIVERY Curate allows you to change as much as you like. It analyses the historical data from your stores and creates planograms that maximize profits, increase sales, and align with whatever your business objectives happen to be.

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