HIVERY's Demand Transfer Model Explained
Whitepaper
Are you struggling to optimize your product assortment and maximize sales? Look no further than HIVERY's Demand Transfer Model. Our cutting-edge technology uses data analysis techniques and machine learning algorithms to identify shopper behavior patterns, comparable group products into categories based on their competition for sales, and predict demand transfer based on these scores.
In our whitepaper, "Unlocking Sales Potential: A Guide to Understanding Demand Transfer," you'll learn how to:
- Identify latent shopper segments and determine their purchase probability
- Analyze shopper behavior patterns for each store across the chain and determine possible store mixtures
- Predict demand transfer based on scores and consider the possibility of a no-purchase option or "walk-rate."
By understanding how changes in your store's product assortment can impact sales, you'll be able to make informed decisions about what products to add or remove from your store's assortment to meet the needs and preferences of your customers.
Download our whitepaper today to unlock the secrets of demand transfer and revolutionize your sales strategy.
About HIVERY
HIVERY is a multi-award-winning pioneer of hyper-local retailing that offers assortment strategy simulation and optimization solutions to a growing number of large retail and CPG clients in North America. HIVERY is transforming category management, automatic retailing and retail trade promotion with innovative algorithms sourced from Australia's national science agency - CSIRO's Data61.
HIVERY was founded on the vision that Data Has A Better Idea - and we’re working together with our clients to uncover its full potential.
