
The RELEX business rules engine: How configurability delivers flexible, scalable planning
Transform your supply chain planning with the RELEX business rule engine and code-free configuration that lets you customize and scale solutions efficiently.
Transform your supply chain planning with the RELEX business rule engine and code-free configuration that lets you customize and scale solutions efficiently.
Discover how a 'configure, don't code' strategy enables rapid in-house configuration so business can continuously improve and scale planning processes.
Get firsthand insights from industry expert Madhav Durbha on CPG supply chain trends like AI innovation, consumer behavior shifts, and emerging challenges.
Learn how AI enhances sustainability in supply chain by reducing waste, minimizing power consumption, improving efficiency, and enabling emissions tracking.
Customer demands for fresh products can seem as unpredictable as the weather. That is, until you learn how to forecast for weekday variation.
5 strategies to reduce grocery waste with AI-driven demand forecasting, balanced replenishment, and integrated planning for a sustainable future.
Find out how retailers can address both fresh and center store product management needs to remain competitive in the grocery space.
Learn how to leverage real-time data and AI-driven insights to enhance budgeting accuracy and adapt to market dynamics.
Discover how modernizing Merchandise Financial Planning (MFP) can transform outdated processes into actionable, data-driven strategies.
Henrik Carlsson, Director of IT and Digitalization, and Martina Molander, Category and Purchasing Manager at Reitan sat down to share how RELEX is helping them optimize their promotion planning and execution.
Explore proven AI techniques that transform chaotic supply chain data into organized, actionable insights that boost accuracy, agility, and resilience.
Discover how AI algorithms optimize retail inventory management by accurately predicting demand, reducing waste, and increasing sales for enhanced profitability.
In this webinar, experts will share practical examples of how AI, including Gen AI, is already driving significant value for leading companies, transforming supply chain planning into future-ready, agile processes.
Discover how AI diversification enhances planning efficiency and accuracy, safeguards tech investments, and supports supply chain resilience.
Juri Ljaskin, Prisma’s VP of Supply Chain, sat down with RELEX’s Amanda Oren to talk about their journey with RELEX, the benefits of the partnership, and their plans to leverage AI.
When consumer budgets stretch and competitive pressures grow, retailers must drive agile, responsive, and data-driven pricing decisions.
The issue is finding the right AI for the right task—avoiding using, metaphorically, a 2x4 wooden board to smash a nail into a wall when a hammer would be much more appropriate, less energy-intensive, and better at delivering the best results.
Omar Louzir, RELEX Lead Business Consultant, shares some of the ways that RELEX is helping these retailers leverage AI-enabled technology to build a better supply chain that drives efficiency, reduces costs, and improves customer service and margins.
Optimizing dairy requires a shake-up, a more connected view across the entire dairy supply chain, and a rethink around processing, producing, and planning.
In today’s market, labor has added more strain to retailers’ operations. Whether it is the rising cost of labor, retention of the more experienced workforce, or needing to onboard a different profile of workers onto complex systems or processes, all these scenarios and more are increasing in frequency, hurting the efficiency of the supply chain.
Organizations often make the same mistakes when choosing and implementing digital twins in their supply chain technology. Here's how to avoid these pitfalls.
Join us as we explore how advanced technology, including AI, is transforming retail operations and helping businesses stay ahead in a rapidly evolving market.
The blog discusses on how forecasts built using demand sensing can result in fewer lost sales, reduced waste, and increased cost savings.
Consumer goods companies need to leverage the best AI tools – specialized and generative – for each stage of the planning process to achieve the optimal result.