Sales promotion of one product impacts not only the sales of that product, but also products not in promotion.
Weather is a source of significant fluctuations in consumer demand. In this whitepaper, we’ll look at how retailers can optimally prepare for them.
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.
Moving from a traditional category-based model to using causal methods increases promotion forecasting accuracy and supports promotion planning.
At RELEX we are in a unique position to get the most out of machine learning in forecasting retail demand. And there are three reasons for this.
How RELEX combines time-series, regression and machine learning forecasts for best results? Take a look at the different forecasting approaches that can be used to achieve great levels of accuracy in diverse situations.
This whitepaper compares the costs of procurement in relation to long and short delivery times, and presents an opportunity.
In this whitepaper we take a look at how to Christmas and draw lessons for year-round seasonal management.
This article takes a look at the impacts weather can have on demand and how to take different scenarios into account.
As sales fluctuate significantly day to day, precision with fresh food is only possible through accurate daily forecasting and daily replenishment.
In the food sector the longest holiday forecast period is that for Christmas and New Year, where successive holidays make maintaining supply chain efficiency quite challenging.
Supply chain integration has been talked about for so long, and has had so much promised on its behalf that, frankly, it’s easy to tune out.
This article explains how data systems affect the execution of S&OP processes.
To borrow a phrase from the famous baseball player Yogi Berra “It’s like déjà vu all over again.”
Seasonal inventory management is not easy. However, there are many companies who have managed to turn it from a problem into an opportunity.
Less work, better forecasts: More efficient and accurate demand forecasting with quantitative forecasting tools!
Doing demand forecasting with quantitative tools can make your operations more efficient.
In grocery retail, approximately 3.9% of revenue is lost due to stock-outs and it is estimated that the situation is even worse in specialty retail.
This article focuses on stock replenishment from the perspective of department store operations.
In many cases, it’s possible to increase the efficiency of spare parts management quite dramatically.