Who is Curate for?
Who is Curate for?
The world’s first truly hyper-local category management solution
HIVERY Curate is a powerful SaaS-based, AI-driven engine that optimizes product assortments and planograms for retailers and CPG companies, offering rapid category scenario planning at store level.
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.
Dynamic store level category management has finally arrived.
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.
Rapid scenario 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
Leveraging store-level data, our model can generate store-specific optimized planograms at any cluster count
Space & assortment aware
Simultaneously optimize space and assortment at store-level with set category goals and constraints
Transferable demand & cannibalisation
Also called Demand Transfer; incrementality evaluate & forecast demand impacts when adding or removing a store-SKU in your category
Clearly understand how each constraint impacts your predicted results, allowing for precise refinement in real-time.
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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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Managing constraints and maximizing 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.