Breaking down functional silos
By now, everyone knows that “Silos” is the new bad word in business as it creates critical weaknesses. Find out how to break out from silos to empower greater transparency, collaboration, and information sharing.
A pragmatic guide to AI & machine learning
Our expert Josh Mann explains what machine learning is, what kind of challenges it solves, and why many leading retailers are starting their transition toward machine learning-based demand forecasting.
Introducing RELEX Labs
Welcome to RELEX Labs, our research engine at the core of our company working closely with our customers to develop the future of retail optimization.
Case study: S Group
A leading Finnish retailer piloted RELEX’s AI-based main delivery day optimization functionality to take replenishment to the next level.
Frictionless retail and the new grocery supply chain
Running a grocery business has changed fundamentally: The days of working on intuition have passed, and the days of data analytics and frictionless retail are here.
Machine learning in the context of retail demand forecasting
Retail is impacted by many factors, such as weather and cannibalization, that can be taken into account with the help of machine learning.
Decision science and pragmatic AI in retail
Most retailers are rich in data, but access to data does not automatically enable retailers to make better decisions faster. This is where decision science steps in.
How to choose a supply chain planning system
Choosing a supply chain planning system isn’t easy. That's why we've listed some things to consider if you’re going to transform your supply chain planning.
Supply Chain Planning Challenge Facing Mid-market Retailers
Supply chain planning is particularly challenging for mid-market retailers encountering all the same complexities as big retailers.
Where should a retailer spend its technology budget?
With spending on IT coming under more pressure, not necessarily because of reduction in budgets but more from the increasing number of projects a CTO is faced with, where should a company focus its attention?