Projects for SKF
Customer behaviour
SKF is a leader in bearing production. Recently, the company underwent a reorganization, that centralized the market management within the EMEA region. SKF asked us to help them to identify new synergies and “customer-product“ links, that could generate new sale opportunities.
207 M
combinations in product and customer portfolio that we analysed.
Using machine learning algorithms we analysed customer and product portfolio. We measured similarity in all customers’ product baskets to identify new opportunities for additional sales and interesting margins.
Operational forecasting
SKF is a leader in bearing production. The coronavirus crisis brought many changes that affected sales fundamentally. The supply chain flow was slowed down, sales channels were suddenly restricted, future demand and orders uncertain. Hence, the need for quick and effective adaptation to the current situation was eminent, and SKF approached us to help them to create a more agile process for short term sales forecast.
up to 90 %
up to 90 % is the accuracy of the sales forecast during the coronavirus crisis.
We created algorithm able to predict sales on the level of product line with a quite high precision. The forecast is able to extrapolate the future with up to 90% accuracy – even in these unstable times. Our common goal was to mitigate the impact of the crisis on the company’s business and its customers.
Data a reporting
SKF is a leader in bearing production. SKF wanted to define best-practice processes in implementing PowerBI – the best Business Intelligence platform in the world, according to Gartner 2019. Logio wouldn’t miss such a crucial milestone and it helped to implement the PowerBI smoothly.
100 M +
hundreds of millions of data was needed to manage.
SKF stores gigabytes of sales data in their data warehouses. Logio helped SKF to define the best ways to handle the data in PowerBI. Our solution is fully integrated within SKF’s data infrastructure; clearly all-inclusive: one truth principle, reporting templates, permissions, data management, data quality, etc. For all of them, Logio shared their know-how and recommended the best practice.
