AI-driven recommendations to have the right products in the right places.
Higher profits, few stock-outs, and less inventory.
AI-powered demand forecasting is changing the paradigm. Daisy gives retailers a holistic view that delivers accurate demand forecasts to better manage their physical inventory.
Demand forecasting optimization lets you to meet consumer demand while minimizing stock-outs and excess inventory. AI delivers real-time insight about how much inventory to buy to support your plans.
Forecast with greater accuracy.
Daisy’s AI-powered platform enables forecasting accuracy at levels for higher than industry standards. For high-velocity products, AI can reduce the forecasting error rate to less than 5%.
GENERATE GRANULAR FORECASTS
Forecasting product demand is a complex mathematical exercise. Daisy’s AI-powered simulation and an understanding of the complex relationships between products ensure profitability and accurate inventory to meet customer demand.
- How much inventory should be purchased to support your product assortment plan?
- How do you balance having enough inventory to support a promotion without the risk of being overstocked?
- How much inventory should be allocated to each store to meet local demand?
IMPROVE FORECASTING ACCURACY
LEARN HOW THE "HALO EFFECT" CAN DRIVE BETTER RESULTS FROM YOUR PROMOTION STRATEGIES. WE'RE TALKING 100% HIGHER PROFITS AND AS MUCH AS 5% HIGHER SALES!
Predict demand with precision.
It takes simulation and a complex formula.
,Until now, demand forecasting has been limited by available technology and computing capacity. Traditional technologies typically analyze every product SKU and transaction as if it were an isolated incident. This is not how it works in the real world.
To achieve high levels of forecasting accuracy, you need to get as granular as possible. Simply running sales numbers for individual product SKUs isn’t enough.
It takes simulation and a more complex formula. Purchasing behaviors such as product cannibalization, promotional cadence, seasonality and product affinities should also be considered holistically. Now, factor in multiple price zones and ad zones, dozens of stores, and tens of thousands of products, and it becomes humanly impossible to execute an accurate decision.
Retailers implementing A.I. are seeing 10% to 15% improvement in their forecasting accuracies.
Learn more about the portal and how we deliver decisions.
How does AI work?
SEE HOW AI IS HELPING OUR CLIENTS
POWER THEIR PROFITS.
We were amazed. When we listened to Daisy’s recommendations, we had an 88% probability of having an above average flyer week.
MERCHANDISING MANAGER | GROCERY RETAILER
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