Daisy’s Theory of Retail™
The theory of evolution. The theory of general relativity. Newton’s laws of motion. There are many theories that work to help us connect the relationships between variables to better understand our world.
Daisy developed a patent-pending approach to machine learning and reinforcement learning called the Theory of Retail™ to analyze large databases and uncover insightful answers to complex optimization questions.
This model is designed to maximize total revenue by finding optimal solutions to highly complex trade-off situations. This model analyzes extremely large data sets and finds the relationships between variables like cross-category cannibalization, promotional cadence, associated product affinities, price sensitivity and seasonality. It’s complicated, but our approach makes this possible.