TK Elevator devised a digitalised sales process to improve efficiency and the customer experience. Zühlke implemented the project in record time.
Strict deadlines and a tight budget
HMI 2017 saw Microsoft and TK Elevator unveil a proof of concept for a HoloLens-based sales process. Zühlke’s task was to implement the solution in a joint team with the client across multiple locations. By using agile methodologies the team achieved a spectacularly rapid time to market.
' A key factor in HoloLinc’s success was our partnership with Zühlke, and their extensive experience with mixed reality and industrialising prototypes.
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Development in record time
As a pioneer of digitalisation, TK Elevator wanted to rapidly revamp its stair lift sales process. With a tight deadline and budget, this was a major challenge – some of the basic technologies needed for the solution, such as displaying mixed reality on an iPad, were yet to be developed. There was also the issue of connectivity between the various devices and systems (iPad, HoloLens, Azure cloud and TK Elevator ERP system) via a variety of interfaces. The solution also needed to have an intuitive, easy to-use user interface.
Lean connectivity and backend solutions
Zühlke’s solution combined the iPad and HoloLens. With expertise from innumerable end-to-end IoT projects, Zühlke was able to deliver connectivity and backend solutions rapidly and simply. Thanks to Zühlke’s distributed and agile development experience, HoloLinc® was ready to deploy in just 10 months.
Contact person for Germany
Gerald Brose
Executive Director Business Development
Gerald Brose is Director Business Development at the Zühlke Group. An Economics graduate, he is responsible for business development in Germany for the industrial sector with a focus on plant and mechanical engineering. Before joining Zühlke, he worked as a consultant and key account manager in IT outsourcing. In addition to the overarching theme of digitalisation, Gerald is currently focused on IP ownership in product innovation, monetisation of data science use cases, and customer experience.
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