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 %.
Stochastic planning for more resilient and cost-effective supply chains
Stochastic planning has been presented as a result for tackling uncertainty in supply chains. Our whitepaper explains what it is and when and how to use it.
Machine learning in the context of retail demand forecasting
Retail is impacted by many factors, such as weather and cannibalization, that can be taken into account with the help of machine learning.
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.
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.
Are you wasting time and money on a poorly integrated supply chain?
16 % of large US grocery retailers still base their distribution center forecasts on historical data on outbound deliveries from these distribution centers. This is akin to driving a car while looking into the rearview mirror.
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.
Case study: Saarioinen
RELEX combines demand forecasting with financial and production planning to support Finnish convenience foods manufacturer's unified S&OP process.
The importance of accurate forecasts in omnichannel grocery retail
Accurate forecasting is at the core of increased operational efficiency as it is key to accurately match resources, such as stock and personnel, with demand.
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.
Best practices in weather-based sales forecasting
Predicting weather is not easy and rapid changes in weather can cause consumers to suddenly shop or cease to shop for specific products, which can quickly become costly for a retailer.
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.
What is a good level of forecast accuracy?
“What would you consider a good level of forecast accuracy in our business?” is probably the single most frequent question we get from customers, consultants and other business experts alike.
Case study: Hankkija
Finland’s premier agricultural store chain Hankkija overhauled its entire procurement process, set up a new DC and built its purchasing organization around it.
Case study: YNAP
RELEX Solutions supports YOOX NET-A-PORTER GROUP (YNAP) in scaling its replenishment and forecasting abilities to a new level.
Case study: Galexis
The Swiss pharmaceutical wholesale dealer, implemented RELEX to increase automation, maintain availability at close to 100%, and at the same time lower inventory.
Case study: Granngården
Swedish retail chain in the pets and gardening sector balances stock between online and stores through virtual ring-fencing.
Why do forecasting and replenishment have to be such a pain?
Over the years almost every single retail initiative has had forecasting and replenishment at its core.
Predict the unpredictable in supply chain management
People are fickle, not wholly rational and make different decisions at different times. However, people are predictable in most of their buying decisions.
Case study: Booths
Britain’s leading regional supermarket was able to reduce spoilage of its chilled cabinet lines, the single biggest contributor to overall spoilage, by over 20%.
Does demand forecasting for promotions have to be this difficult?
Demand forecasting for promotions is a major challenge for retailers, not least because of the impact it has on driving sales.
Case study: Lumene
Finland's leading manufacturer of skincare and cosmetic products uses RELEX to improve its sales forecasting and S&OP process.
Case study: Rusta
The retail chain uses RELEX for automated replenishment and demand forecasting across its 26 specialty department stores in Finland and in its online store.