Maximize your Total Store Impact

Leverage Halo Effects in your Merchandise Planning processes

+ 2.9 %
average increase in topline revenue for our clients
100 %
increase in net margins
40 %
time saved per week reviewing and recommending prices
15 %
Increase in forecasting accuracy

What we offer

 

AI-powered decisions for Merchandise Planning

AI Done Right

Daisy delivers Explainable Decisions-as-a-Service (eDaaS) for retail that enable Category Managers and Merchants to make better operational, merchandising, pricing, promotional and inventory decisions.

How we work

 

We serve numerous industries

couple at a grocery store buying products
For grocery, Daisy’s system incorporates Halo Effects to:
 
 

Optimize promotional item selection

 

Dynamically adjust regular and promotional pricing

 

Improve demand forecasting and inventory allocation

 

Recommend assortment plans, optimize store promotional, feature, and regular layouts and deliver store level macro and micro space plans

 
woman making an online purchase
 
For ecommerce, Daisy’s system incorporates Halo Effects to:
 
 

Optimize item, price, forecasting and ordering, assortment, and space planning decisions

 

Improve forecasting for ecommerce and virtual stores and harmonize physical and digital merchandising environments

 

Optimize on demand omnichannel, base and markdown pricing

 

Maximize endless aisle for category managers

pharmacist helping a client
 
For pharmacy, Daisy’s system incorporates Halo Effects to:
 
 

Optimize item, price, forecasting and ordering, assortment, and space planning decisions

 

Optimize assortments of health and beauty care categories and manage and monitor repetitive products, item attributes and differentiation

 

Maximize revenues, profits and margins​

 

Synchronize segmentation, channel, proximity, planogram and TLOG data

 
worker at the hardware store
 
For hardware, Daisy’s system incorporates Halo Effects to:
 
 

Optimize item, price, forecasting and ordering, assortment, and space planning decisions

 

Optimize assortments for vital B2B and B2C products and equipment ​and optimize channel, assortment and category plans

 

Implement clustering for efficient shopper targeting

 

Optimize selection of product/groups in localized distribution​

 

AI Best practices

The journey to autonomous

04 Steps

1

Parallel planning

Merchants and the Daisy system make plans in parallel. Merchants can compare their decisions to those made by the AI, noticing what the AI is seeing that they aren’t able to. This builds trust in the system.

2

AI augmented plans

The Daisy system augments merchandising plans before they are executed, providing alternative recommendations for improvement. The enhanced plans’ financial results build more confidence.

3

AI-powered merchandising plans

The AI takes on a larger role, creating its own merchandising plans to be reviewed by merchants. Larger financial outcomes can be easily observed.

4

Autonomous operation

Finally, the Daisy system operates autonomously with pre-programmed governance. AI plans are automatically reviewed with alerts for human oversight if required. The result: significant labor savings

Build a More Profitable Sales Mix

Action Halo Effects with AI to meet customer needs

retail ai whitepaper

Testimonials

See the value we’re delivering to our clients

Interested in our retail solutions?

Get in touch to see how Daisy gets AI Done Right

Give us a call!

 
 

Learn more about how we’re delivering the decisions that are beyond human ability and freeing your people to focus on what they do best at work.