Elida Beauty team can optimize store-level assortment quickly.
At HIVERY, we understand the critical need for quick, data-driven decisions in the dynamic beauty industry. This why we created HIVERY Curate.
Design & Test Assortment Strategies
With AI as your co-pilot, Elida Beauty's sales, insights & data analytics or category management teams can leverage sophisticated machine-learning algorithms for informed assortment decisions.
HIVERY Curate can pinpoint unique store patterns and ensure precise revenue and volume forecasts. Its user-friendly interface facilitates easy scenario adjustments. You can visually modify strategies, assess their impacts, and iterate until your strategy and portfolio goals align perfectly.
Find Better Assortment Strategies:
Insightful Assortment Strategies: Discover superior strategies at the store level, ranging from retail-specific package size evaluation to forecasting new product success.
Validate Edge Assortment Strategies: Utilize our machine learning models to assess and select diverse edge assortment strategies, revealing untapped growth opportunities.
Strategic Adjustments: Quickly validate and build consensus on future assortment plans, offering optimized, confident recommendations within your team and retail partners.
One solution, many applications
HIVERY Curate is your AI co-pilot providing quick store-level insights and optimization for strategy assortment quantification
About us
HIVERY is apioneer of next-generation hyper-local retail assortment strategy simulation & optimization solutions. HIVERY Curate, HIVERY's flagship offering, leverages machine learning models and store-level data to assess strategies based on real-world limitations, empowering businesses to identify and seize growth opportunities with complete transparency.
