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Retail is impacted by many factors, such as weather and cannibalization, that can be taken into account with the help of machine learning.
This white paper shows how accurately forecasting for short lifecycle products is possible through intelligent statistical modeling that uses data from previous product introductions.
Using AI to optimize main replenishment days enables more efficient goods handling and store operations in retail distribution.
Most retailers are rich in data, but access to data does not automatically enable retailers to make better decisions faster. This is where decision science steps in.
In this whitepaper we will explore different clustering approaches, the benefits of using behavioral clustering, and how to tailor assortment and space in accordance with customer demand.
Great data processing delivers great business value. Still, RELEX is one of very few solution providers that has opted for developing our own database and database engine. Why is that?
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.
Retailers are looking at their merchandising strategies to cluster stores more precisely in order to understand demand at a more granular level.
Critical path management is a good example of a discipline that, brought to retail processes, can make the difference between success and failure. Whitepaper written in collaboration with Columbus Consulting (CCI).
As a retailer grows and matures, they will inevitably find themselves, at some point, needing to invest in merchandising systems. But which capabilities to prioritize?
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.
Well-produced planograms increase sales and drive down supply chain costs. In this whitepaper we will make the case for always optimizing your planograms at store level.
Finding the optimum balance between centralized and customer-centric assortment differentiation is a critical task. But how this optimum can be arrived?
Ask managers what causes them the most problems in the consumer product supply chain – and the most common answer you’ll get is “promotion management”.
What’s the optimal balance between short- and long-distance procurement? Find out how to compare and combine the two worlds.
In this whitepaper we show how our business rules engine works, and introduce best practices for using it.
A typical mid-market retailer must wrestle with all the retail supply chain planning complexities that call for a top-notch solution.
Where should a CTO prioritise his spending? Lets look at the opportunities and risks for the company.
The RFP-process is not well suited for selecting SaaS-solutions for a number of reasons.
In this whitepaper we take a look at how to optimize for the holiday season 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.
Forecasting and replenishment implementations are, above all, about adapting and improving processes and operations models.
At RELEX we’ve collated information from more than a dozen of our large customers about how they have chosen to organize their replenishment.
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.
Given tight margins spoilage reduction can easily add 25% to typical retail profits on food of roughly 2% of turnover.
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.
According to The McKinsey Global Institute applying big data solutions to supply chain management can add between 5% and 35% to operating margins.
We think companies should be thinking in terms of agile process development – and here’s why.
This article explains how data systems affect the execution of S&OP processes.
Once we accept change and stop trying to avoid it we can think about the more important issue of how to manage it. Read how Motoral successfully transformed its purchasing operations with effective change management.
It is possible to measure the value of POS data in a meaningful way. In my doctoral dissertation I examined a number of product launches by two suppliers.
Clients thinking of automating their replenishment processes often ask me what potential problems they should be alert to when changing their systems.
Seasonal inventory management is not easy. However, there are many companies who have managed to turn it from a problem into an opportunity.
Many companies switch to automated replenishment to improve shelf availability and inventory turnover, and to make re-ordering 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.