
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.
A leading Finnish retailer piloted RELEX’s AI-based main delivery day optimization functionality to take replenishment to the next level.
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.
Retail is impacted by many factors, such as weather and cannibalization, that can be taken into account with the help of machine learning.
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.
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.
Retailers are no longer interested in major system replacements. Instead, there's a trend toward implementing in parts rather than as a whole.
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 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 is particularly challenging for mid-market retailers encountering all the same complexities as big retailers.
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 isn’t a magic bullet but there are some impressive gains to be made in traditional operations, such as supply chain management.