Curate
The world's only first true store level strategy simulation & optimization solution. Operationalize your category strategy in minutes.
HIVERY Curate brings rapid strategy simulations to life
Increase approval plans, reduce the uncertainty & get mutual alignment fast
HIVERY Curate is a powerful SaaS-based that leverages industry-leading machine learning (ML) models and applied mathematics methods to allow you to run category strategy simulations, compare results and optimize your assortment plans with precision. Cultivate partnerships internally and externally with transparency and speed.
HIVERY Curate operationalizes your strategy. All in minutes not months.
HIVERY Curate can simulate any category strategy with any rules and goals and measure the impact of that strategy. Once you are satisfied with the strategy, simply export the associated planograms - reducing the time involved in category resets and planogram generation from months to minutes.
HIVERY Curate incorporates your own unique business rules and category goals, allowing you to simulate different strategic scenarios with accuracy and reliability, guaranteeing executable store-specific recommendations for every cluster dimension or count; eliminating the averages of averages approach.
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 any cluster dimensions or count
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.