EVOCA Group is a global leader in the production of professional coffee machines and vending machines. By developing an IoT platform for connected vending machines, beSharp enabled Evoca to offer its customers the ability to remotely manage their entire machine fleet in a smart and highly simplified way, reducing the total cost of ownership and ensuring high-quality service for consumers.
•Inefficiency in managing potential malfunctions and restocking products in leased machines.
•The need to improve internal processes.
beSharp supported EVOCA in creating a platform to remotely manage and control the machines. Through a WebApp, managers can access cloud-based digital twins of physical machines and perform all necessary operations directly from a remote location. Additionally, data generated from user interactions with the machines is collected and stored for reporting purposes, with a strong focus on data governance: each role is granted the appropriate data set through multi-level user management with customizable access rights.
•Visibility and Control Through Data
The developed platform provided EVOCA’s customers with visibility into how users interact with the machines, helping them better understand their needs.
•Digital Twin
The management and maintenance of vending machines are now performed remotely and proactively, reducing downtime and optimizing resources.
•Data Governance
The system was designed to ensure that every business role accesses the “right data at the right time,” thereby improving the efficiency of internal processes. This approach not only enhanced business performance but also increased the value offered to customers, improving their overall experience and satisfaction.
•New Business Model
All operations are simplified through an intuitive web interface with quick and easy configurations, offering extensive customization options and a single point of access to Evoca’s telemetry services.
•Competitiveness
With the Cloud platform, EVOCA introduced unprecedented flexibility, providing its customers with full control over all connected machines.
•Using Machine Learning algorithms to improve services and optimize processes with a data-driven approach to continuous improvement.
•Expanding digital services offered to end customers.
•Enabling predictive maintenance using collected data.