Solutions for Retail
Our system analyzes 100% raw point of sale data
and provides weekly operational recommendations
that grow top line sales.
About our solutions
Daisy’s focused A.I solutions for retail transform transaction log (TLOG) data into promotion, pricing, and inventory forecasting decisions that are actionable to improve an organizations logistics, operational effectiveness, stock-outs, transaction size, revenue, and margin.
Daisy’s approach is truly unique. The Daisy A.I. Simulation Platform™ relies on massive computational power to simulate outcomes, all the while ingesting new information to adapt the underlying mathematical theory to reflect the continually changing and dynamic nature of the retail world. The Daisy Theory of Retail™ uniquely considers all of the important effects that make optimization in the retail environment such a challenge – the changing affinity relationship between products, cannibalization effects, promotional cadence effects, forward buying effects, promotional and pricing elasticity, seasonality, competition, etc
Simply put, Daisy can go beyond human capacity to assist retailers in making optimal decisions by considering more data, more variables, and more alternatives, dynamically, in near real-time with an optimization outcome that is tied to true, long term profit and loss changes rather than short term, promotion specific outcomes.
Learn more about how our solutions are changing the world of retail by clicking on each module below:
We deliver valuable weekly decisions that you can use to consistently increase store traffic, average transaction size and ultimately, improve your business. We provide you with pre and post analysis of our recommendations to assess the impact on your bottom line.
More than 5% increase in total sales by driving associated products.
More than 5% increase in total sales from optimized pricing.
More than 10% reduction in stock outs from optimal inventory.