Optimize the Merchandise Planning Process with Explainable AI-Powered Decisions

Optimize Merchandise Planning with Explainable AI-Powered Decisions

Optimize the Merchandise Planning Process with Explainable AI-Powered Decisions Video Transcription

At Daisy, we deliver explainable decisions as a service. That's no code, no infrastructure, no data scientists, and our decisions have no bias.

What Decisions Does Daisy Provide for Merchandise Planning?

We operate the software on behalf of our clients and our software outputs recommended decisions in merchandise planning, helping with decisions like how much inventory for each product should I carry in every store every week based on demand? What assortment of products should I carry in every store to meet my financial targets? What regular and promotional prices should I charge for each product each week? What combination of products should I promote or not promote?

What Are Explainable Decisions?

In addition to recommending answers to those questions, our software provides an explanation as to why those recommendations were made. And we also provide a what if scenario capability, so your merchants and category managers can evaluate the impact of changing some of those recommendations. Explainable decisions allow your people to focus on the highest value tasks, like product innovation and servicing your customers. We let people do what people do best by using machines to do what machines do best. At Daisy, we see what others don't.

Download Halo Effect retail whitepaper

Comments (0)

Subscribe to our newsletter and learn how AI will provide a competitive edge and elevate your people to do the tasks only they do best

Sign me up