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.
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.
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.
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.
When to use manual forecasting or forecast corrections
Manual forecasting generally produces results whose accuracy is, rather questionable. However it can be of benefit in certain situations.
Managing the Christmas supply chain
In this whitepaper we take a look at how to optimize for the holiday season and draw lessons for year-round seasonal management.
Supply chain integration – Case food service forecasting
Supply chain integration is about knitting together operations of two or more companies via an integrated IT system. Learn how this can be done wisely.
Sales and operations planning (S&OP): From data to information to decision-making
In this article, we take a brief look at what sales and operations planning actually means and explain how data systems affect the execution of S&OP processes.
Case study: Transmeri
By implementing RELEX, the Finnish consumer and cosmetics goods importer was able to increase its forecast accuracy by 10 percentage points.
Using POS data in your supply chain to react faster to changes in demand
Particularetail trade companies, that often control both stores and warehouses themselves, no longer have any excuse for letting POS data gather dust in the stores’ till systems.