The window of freshness is vanishingly small. Fresh packaged food manufacturers must dream bigger about forecasting
Discover how fresh packaged foods manufacturers can use high-accuracy demand forecasting to achieve optimal freshness.
Discover how fresh packaged foods manufacturers can use high-accuracy demand forecasting to achieve optimal freshness.
In this video, we’ll show how our approach to workload forecasting lays the foundation for accurate labor planning, helping to drive down costs while raising service levels.
RELEX understands the unique challenges wholesalers face and how our adaptable system is built to overcome them.
If you're relying on manual processes and disconnected systems, you're leaving your store teams frustrated and fighting spoilage, gaps on shelves, and waste every day.
Discover 3 game-changing ways to improve wholesale margins using an AI-powered supply chain planning platform.
To stay competitive, C-stores need a system that uses a single source of data to inform decisions about operational tasks while solving challenges related to staff, space, and inventory management.
US-based grocery retailers who combine the use of AI with their human experts see the benefits of a fully optimized fresh assortment – with more sales and less waste
Accurate inventory data is vital to optimal inventory management for every retailer. This blog spots four common causes of inventory data inaccuracies retailers should avoid.
This guide demonstrates best practices for building a business case for supply chain technology investment and puts perspective on primary considerations when working with ROI calculations.
By investing in modern supply chain planning and optimization technology, grocery retailers can improve their profitability and their sustainability at the same time.
In this video, our expert Josh Mann gives a view into the RELEX product offering and explains how we help retailers plan better, sell more, and waste less.
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.
By relying on AI and machine learning to create highly accurate forecasts, grocery retailers can successfully reduce food waste and spoilage.
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.
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.
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.
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.
Accurate, AI-driven forecasts can be leveraged to drive exponential benefits throughout retail operations, for example through workforce, replenishment or markdown optimization.
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.