
Case study: Nomeco
Nomeco, a leading pharmaceutical wholesaler, significantly reduced their manual process and streamlined operations with end-to-end supplychain optimization.
Nomeco, a leading pharmaceutical wholesaler, significantly reduced their manual process and streamlined operations with end-to-end supplychain optimization.
Seasonal inventory management is not easy. However, there are many companies who have managed to turn it from a problem into an opportunity.
In this webinar, Asia Pacific retailers and consumer brands can uncover the best practices on ways to tackle supply chain challenges and crack today’s bullwhip effect to better manage future uncertainties.
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.
In this webinar, RELEX experts share how machine learning can help retailers solve their most critical demand forecasting challenges.
To ensure they can meet ongoing demand without pause and offer exceptional customer service, pharmacies need a system that can automatically adjust replenishment orders to account for substitutions.
Sarah Serle, General Manager of Merchandise, and Matt Rodda, CIO for Baby Bunting, share the challenges they faced with siloed and manual ordering processes, and the positive benefits they have seen since implementation.
With RELEX's machine learning forecast, One Stop has enhanced its daily forecast despite the complex weather-driven demands and increased in-store availability without spoilage corresponding.
Baby Bunting, Australia’s largest nursery retailer, significantly improved availability and reduced inventory value after implementing RELEX.
To be competitive, pharmacies must successfully manage the variable and unique demand for prescription medications.
Learn how JOKR is transforming its retail planning for increased efficiency, reduced inventory, and better product availability.
Atria significantly improved their forecast accuracy and stability after implementing RELEX machine learning-based forecasting capabilities.
DOUGLAS, the leading beauty platform in Europe, has significantly improved its forecast accuracy and product availability with RELEX's AI-driven forecasting and replenishment solutions.
In this customer voice blog, Andreas Persson, Head of Replenishment at ICA Sweden, discusses the excellent results the company has achieved by sharing order forecasts with suppliers.
Hear how leading UK grocery retailer Booths used their online forecasting system to efficiently plan and adapt to ensure great customer service in challenging times.
Get a behind-the-scenes view into AutoZone’s journey from demand planning through a legacy system to adopting a configurable and flexible retail planning software.
By relying on AI and machine learning to create highly accurate forecasts, grocery retailers can successfully reduce food waste and spoilage.
Ametller Origen significantly increased product availability and reduced fresh spoilage after implementing RELEX.
CPG companies need to leverage retailer data in demand planning and collaborate effectively with their retail partners to attain high forecast accuracy and meet demand.
2020 required retailers to prioritize demand over profitability. To successfully move forward, retailers need to find a way back to efficiency and turn “coping” into “winning."
The BWS category poses several challenges for retailers, including promotional planning, capacity management, and omnichannel replenishment, leading to poor results if not planned for carefully.
In this webinar, we discuss what DIY supply chain challenges HELLWEG has faced and how they have managed to optimize stock levels while reducing inventory and freeing up capital.
In this Customer voice blog, Antti Kurhela, Supply Chain Manager at Wihuri, talks about how this foodservice operator was able to rapidly adjust to changing conditions while still reducing food waste in 2020.
The Vitamin Shoppe improved their inventory optimization and got more accurate forecasting after implementing RELEX.