RELEX Named a Leader in the 2025 Gartner® Magic Quadrant™ for Supply Chain Planning | Read the report

Case study: Nomeco

Nomeco, a leading pharmaceutical wholesaler, significantly reduced their manual process and streamlined operations with end-to-end supplychain optimization.

Case study: One Stop

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.

Case study: Baby Bunting

Baby Bunting, Australia’s largest nursery retailer, significantly improved availability and reduced inventory value after implementing RELEX.

Case study: Atria

Atria significantly improved their forecast accuracy and stability after implementing RELEX machine learning-based forecasting capabilities.

Case study: DOUGLAS

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.

Case study: Franprix

Franprix, a leading convenience store retailer, significantly improved its operational efficiency and replenishment accuracy after the adoption of RELEX.

Case study: The Vitamin Shoppe

The Vitamin Shoppe improved their inventory optimization and got more accurate forecasting after implementing RELEX.

Case study: Migros Online

The Swiss online-only supermarket saw significant improvements in their forecast accuracy and promotional campaign outcomes.

Case study: Nemlig.com

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.

Case study: Rossmann

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.

Case study: Circle K

Circle K has significantly improved the accuracy of their forecasts through their partnership with RELEX, enabling a 10% inventory reduction of tobacco and cigarettes.

Grocery store

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.

Europris store

Case study: Europris

Norway’s largest discount variety retailer achieved over 17% cut in DC inventory in just 18 weeks.

Suomalainen Kirjakauppa store

Case study: Suomalainen Kirjakauppa

Finland’s leading bookseller uses RELEX's Markdown solution to optimize stock levels and largely automate the markdown process.

Coop Värmland store

Case study: Coop Värmland

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 %.

Case Arena

Case study: Arena

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.

Case study: Oda

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.

Musti Group store

Case study: Musti Group

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.

Bookstore

Case study: Akademibokhandeln

On top of Akademibokhandeln's list of requirements were full centralization of its replenishment and more effective control of the Christmas sales peak.

Saarioinen manufacturing line

Case study: Saarioinen

RELEX combines demand forecasting with financial and production planning to support Finnish convenience foods manufacturer's unified S&OP process.

Minimani hypermarket

Case study: Minimani

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.

Travel store

Case study: WHSmith

WHSmith uses RELEX's machine learning to optimize weekday profiles and manage multiple daily deliveries, resulting in decreased spoilage and increased availability.

Apoteksgruppen store

Case study: Apoteksgruppen

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.