Allocation & Replenishment Optimisation
Successful allocation and replenishment optimisation requires a combination of powerful data-science tools and expert guidance in change management to allow teams to adapt to new processes. Without data science, forecast accuracy is much lower and without the correct strategic advice, the benefits of new software implementation are at risk.
BENEFITS OF A DATA SCIENCE-LED APPROACH
Generate highly accurate forecast and replenishment quantities
Forecast accuracy improvements of up to 16%
Reduce markdown spend and improve stock management
Reduction in stocks by up to 25%
Maximise full-price sales and boost customer satisfaction
Up to 3.5% increase in sales
Prevent lost sales by minimising the risk of out-of-stocks
OUR AREAS OF EXPERTISE
Implementing new software or refining pre-existing solutions
A successful software implementation requires a high level of expertise and a particular skill set that software companies alone do not have. Whether you've worked with us to select new tools or you have existing solutions that have been poorly implemented, we can help!
Using machine learning to give you a more holistic view of your optimal inventory versus demand
You provide the data, we help you to interpret it. Our data-science led approach allows you to analyse your inventory performance at a much deeper level, so you can understand exactly what your optimal stock by location and product is and what actions you can take to rebalance it.
Providing excellent change management support
Introducing new tools into your business will warrant new ways of working. You'll need to get your teams on board with the changes which can be challenging. We are here to provide support to those teams by teaching them how to use and navigate the new software with confidence.
Providing expert strategic advice to boost stock management agility
Stock management methods play a huge role in determining your agility. We can advise you on how to adopt more agile stock management methods that enable you to be more reactive to customer demand.