Retailers must centralize their data to thrive
It is more important than ever that retailers collect data from all channels and use it to manage the flow of goods through the supply chain to the point of customer interaction.
How AI can fight the food waste battle
By relying on AI and machine learning to create highly accurate forecasts, grocery retailers can successfully reduce food waste and spoilage.
Why do so many people working in retail find AI scary?
Incorporating AI into demand forecasting and inventory optimization can improve product availability, reduce waste, smooth the flow of goods and improve operational efficiency in distribution and in stores.
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.
Pragmatic AI for better retail decisions
With AI hype going on, many forget that AI doesn't matter, but the results do. We now use pragmatic AI when describing how we use data for better decisions.
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.
Future-proof your technology strategy
Retailers are no longer interested in major system replacements. Instead, there's a trend toward implementing in parts rather than as a whole.
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.
The benefits of adopting RFID in supply chain planning
The industry has been talking about RFID for 20 years, but it still hasn’t come into common use or delivered significant value to retailers.
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?
Big data – Big talk or big results?
Big Data isn’t a magic bullet but there are some impressive gains to be made in traditional operations, such as supply chain management.