BikeBiz Bicycle and cycling retail news
cykelOS has expanded its range of bike industry specific products to include rental, workshop and custom iOS and Android app solutions, all connected via its free CRM.
Since launching its initial product BikeBookings in 2016, the company has processed more than $25 million worth of service revenue via its service platform.
Kristen Britz, co-founder, said: “We have received lots of support and feedback from the industry appreciating our efforts in creating industry specific software. After two years of us providing a highly regarded workshop solution, our customers started asking us if we could create a rental solution based on the same user experience. We promptly delivered this solution, realising there is significant scope for other innovations. The bike industry is underserved with software solutions designed for its unique requirements.
“This year we launched cykelRENTAL as well as cykelSHOPAPPS, which helps you engage with your customers via events, shop rides and group conversations, boosting community engagement. We give bike shops the tools to capitalise on this engagement by enabling them to post announcements and we also offer targeted push notifications. We let the cyclists and app users determine what they want to hear about and only send notifications to users on the list for that specific broadcast.”
cykelOS, cykelRENTAL, cykelSHOPAPPS and cykelWORKSHOP (formerly BikeBookings) all link with each other and the CRM. cykelOS has a built in SMS and email tool, integrating with LightSpeed, Bike Index and SmartEtailing, and the team is working with Specialized, Ascend, Service Reign, Shopify and others to further integrate and expand the API.
Britz continued: “We plan to expand our integrations in the future and make our open API available to all our customers, allowing them to integrate extensively with applications not currently on our list. I believe that integration between solutions leads to greater benefits for shops. The more opportunity for synchronisation and deeper data learning will empower retailers to make even better decisions on how they manage their business.”
