SKUtrak Conference 2019
Machine Learning provides Store Level Insights
When you have got 200 SKUs in 2000 stores across multiple retailers, it is impossible to look at the detail of every single one. Humans don't have the manpower to look at this every day. Thus you have to roll it up and manage by averages. However, this risks missing out on the detail.
In this video, our Lead Data Scientist, Adam Booth demonstrates how using machine learning can help.
You might also like...
Collaboration between man and machine
VIDEO
This is Adam Booth's complete talk on combining machine learning and SKUtrak data you can deliver value today.
Retail is Detail. Or is it?
BLOG
Why do we consider presenting average answers a major problem? Our COO, Ian Hall explores the idea of reporting for reporting sake, the problem with averages, and presents a solution.
What is Artificial Intelligence?
VIDEO
Our Lead Data Scientist cuts through the AI noise and looks to dispel some of the myths.
The SKUtrak professional plan has helped us improve the way we work across supply chain, commercial and our category teams. The insight that SKUtrak provides into our retailer data and the user-friendliness of the product is already paying dividends to the subscription costs.
Get Started
FIND THE RIGHT SOLUTION FOR YOU AND YOUR BUSINESS

- Arrange a product demonstration
- Discuss plans & pricing
- Want to find out more?