Curate

The world’s first true store level category simulation & optimization solution. One-click, rapid, ML-driven to operationalize your strategy.

Curate can be used for:
  • Category growth simulation
  • Joint business planning (JBP)
  • Rapid retail collaboration
  • Precise demand forecasting
  • Predict product innovation
  • Key Contact
    Curate Demo Team
    Curate can be used for:
  • Category growth simulation
  • Joint business planning (JBP)
  • Rapid retail collaboration
  • Precise demand forecasting
  • Predict product innovation
  • Key Contact
    Curate Demo Team

    HIVERY Curate transforms CPG & Retailer collaboration

    Increase pre-approved plan chances, reduce the uncertainty and 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 leverages machine learning and operations research (advanced analytical methods for decision making) to 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.

    FEATURES

    Minimal training, maximum results

    With technology that originated in Data61/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 strategy simulation

    Rapidly simulate any category strategies scenario (e.g. what will happen if I introduce a new SKU into the category?) and evaluate different category objectives, goals and/or constraints. Transform Joint Business Planning (JBP) sessions with internal and external partners

    Dynamic goal & 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

    Store-level analysis

     Leveraging store-level data, our model can generate store-specific optimized planograms at any cluster count

    Transferable demand & cannibalisation

    Also called Demand Transfer; incrementality evaluate & forecast demand impacts when adding or removing a store-SKU in your category

    Space & assortment aware

    Simultaneously optimize space and assortment at store-level with set category goals and constraints

    Shoppable planograms

    Have your planograms automated and ready for execution in store

    Space and assortment for any cluster count you want

    Audit transparency

    Clearly understand how each rule or constraint is impacting your predicted results, allowing for precise refinement in real time.

    Demo request