Ridley and other brands like Eddy Merckx are part of the Belgian Cycling Factory Group. This group is a Belgian manufacturer of bicycles for multiple purposes: race, cross, mountainbike and allroad. Founder Jochim Aerts’ ultimate goal was to create cutting-edge bikes that perfectly fit each individual’s riding style, as well reflect their unique personality. They’ve become an established brand within the industry. Ridley is now a household name with top pros riding their bikes, including current European champion Marianne Vos, who is ten-time world champion and two-time Olympic champion. They also have powerhouse teams such as Belgium-based Lotto-Soudal making expert use of their bikes.
Ridley produces and sells a range of standard bikes with options, along with their high-end customizable bikes. They needed a CPQ solution that could support both their product groups from quote to creation of a Bill of Materials (BOM). As a user of Microsoft Dynamics NAV, Ridley selected e-Con CPQ for meeting its needs for a powerful, flexible rules engine and a solution that integrated fully with Microsoft Dynmics NAV.
With e-Con CPQ, Ridley has models and guided selling for each product group, giving salespeople ease and accuracy. The Inside Sales team can efficiently configure standard bikes and select available change options. If they are dealing with a custom, high-end bike, they can turn to their “Dreambuilder” model. e-Con CPQ gives them the same friendly and relevant user experience, but allows them to configure bikes that involve complex combinations and calculations. During the configuration process, salespeople build with real-time visualization and can see the immediate impact of choices on prices and availability.
Once a bike is completely defined, e-Con CPQ automatically generates a BOM—that’s a huge gain for Ridley. Without e-Con CPQ, building a BOM takes up to 30 minutes, and there is always a high risk for mistakes. e-Con CPQ can generate these BOMs within seconds, without errors.
“e-Con CPQ lets Ridley almost automatically generate BOMs instead of risking mistakes made working manually—and it saves us time that can be better spent.”