Standard Wool is a multi-million pound group of companies that together make up one of the world’s leading wool trading businesses, with customers in more than 30 countries.
Standard Wool wanted to understand the best time of year, best day and even the best time during the day to buy their wool. This meant they could remain competitive and offer lower prices to their customers.
Our first task was the collection of multiple data points from over 90 spreadsheets and other sources. We needed to add not just the time of purchase, but also transport costs and processing factors to make sure the model was robust.
