IoT consulting for medium-sized companies

Predictive maintenance is one of the most frequently discussed use cases for IoT - and with good reason. It extends the service life and durability of machines and reduces the costs for spare parts, maintenance and repair.

But for many companies, digitalisation is limited to remote services, networked process monitoring and the extrapolation of failure probabilities from historical data. However, real added value is only achieved through the intelligent use of the acquired data for a reliable, algorithm-based real-time forecast. This includes current process and machine data, information on part batches as well as findings from previous maintenance and repairs. For example, a self-learning system can determine which conditions promote wear and failure of machines in production operations and changes the machine settings accordingly.

For machine builders, IoT technology offers excellent opportunities to generate revenue with customers beyond the actual hardware and classic maintenance contracts. Smart, proactive maintenance is based on the simultaneous monitoring of thousands of machines and systems. Make this data available to your customers as a service.

Such a "Product-as-a-Service" (PaaS) model is far more competitive compared to the traditional business model, because the collection of data - once implemented - is not very costly. The benefits, on the other hand, are enormous, because now you can offer the proactive service as a service. You stand out from the competition and strengthen customer loyalty at the same time.

Logistics costs are a relevant cost factor across all industries. Smart IoT applications not only reduce costs, but also increase delivery reliability and monitor product quality along the entire supply chain. Depending on the requirements, numerous sensors constantly report all relevant data on the location, the product condition, the environmental conditions and trigger defined alarm routines in the event of limit values being exceeded, for example.

The continuous monitoring of process containers in transit has been extremely difficult for companies in the pharmaceutical, cosmetics and food industries. A web-based IoT application can create the necessary transparency to ensure quality throughout the entire supply chain. Read our case study vessel.digital: the solution for effective monitoring of process containers.

Efficient production planning in the process industry is an extremely complex challenge. An IoT solution can support here in many places with monitoring, analyses and other digital services; such as remote monitoring, visualisation and real-time monitoring of plant locations, inline quality monitoring in the food and pharmaceutical industry via image processing systems and much more. The benefits are optimised processes and operations, better product quality, less waste and fewer plant breakdowns.

Integrate maintenance companies, customers and manufacturers to make the cleaning process and deployment of IBCs as effective as possible. Read our case study Service Portal for effective tracking of IBCs.