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Learn more about 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
Curate can be used for:
- Category growth simulation
- Joint business planning (JBP)
- Rapid retail collaboration
- Precise demand forecasting
- Predict product innovation
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.
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
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.
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.