
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.
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.
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.
Ametller Origen significantly increased product availability and reduced fresh spoilage after implementing RELEX.
Franprix, a leading convenience store retailer, significantly improved its operational efficiency and replenishment accuracy after the adoption of RELEX.
The Vitamin Shoppe improved their inventory optimization and got more accurate forecasting after implementing RELEX.
The Swiss online-only supermarket saw significant improvements in their forecast accuracy and promotional campaign outcomes.
As Denmark’s leading online grocer, nemlig.com has experienced explosive growth in recent years. With that growth came the need for an adaptable markdown optimization system that would allow them to scale effectively into the future.
RELEX features enabled Rossmann to increase efficiency, cut back on in-store shelving work, and relieve some of the pressure on logistics while reducing inventory and out-of-stocks.
Circle K has significantly improved the accuracy of their forecasts through their partnership with RELEX, enabling a 10% inventory reduction of tobacco and cigarettes.
A leading Finnish retailer piloted RELEX’s AI-based main delivery day optimization functionality to take replenishment to the next level.
Norway’s largest discount variety retailer achieved over 17% cut in DC inventory in just 18 weeks.
Finland’s leading bookseller uses RELEX's Markdown solution to optimize stock levels and largely automate the markdown process.
By linking shift planning to demand forecasts and the incoming delivery schedule, the Swedish grocer has been able to reduce personnel costs by 6-8 %.
RELEX has played a key role in supporting the evolution of Arena’s supply chain processes towards a more holistic control of its entire customer-fulfilment chain.
With RELEX, the largest Norwegian online fresh food retailer Oda has seen a 49% reduction in spoilage value and a 25% increase in inventory turnover.
RELEX helped the leading pet supplies retailer in the Nordics to integrate its complex and ever-changing supply chain, which is now managed by a single super-user.
On top of Akademibokhandeln's list of requirements were full centralization of its replenishment and more effective control of the Christmas sales peak.
RELEX combines demand forecasting with financial and production planning to support Finnish convenience foods manufacturer's unified S&OP process.
Minimani has been able to improve the availability of the most important product lines by 4% while waste, particularly with meat products, has decreased significantly.
WHSmith uses RELEX's machine learning to optimize weekday profiles and manage multiple daily deliveries, resulting in decreased spoilage and increased availability.
RELEX has provided the Swedish pharmacy chain with highly effective tools that support decision making, optimize reordering and improve the organization’s control over its entire product range.