Customer success

Digital transformation in heating technology: How to predict malfunctions and reduce consumption costs

At a glance

  • Cloud solution enables continuous monitoring of heating data
  • Forecast scenarios ensure more reliable operation and fewer failures
  • Intelligent heating control reduces costs for the consumer

The business situation of our client

An internationally leading manufacturer of heating systems demonstrates what is possible when data is used consistently. As direct customers of the manufacturer, heating engineers have always been able to act only reactively. System defects could only be detected when they occurred. And the necessary spare parts were usually not readily available, which meant a lot of work for the fitter and cold nights for the heating user.

Together with ORAYLIS, those responsible now wanted to tackle the digital transformation of the company and create new values on different levels through continuous monitoring of the extensive heating data. On the one hand, the objective was to enable the heating engineer to take anticipatory measures and optimise maintenance intervals. On the other hand, it was necessary to improve the settings of the heating system and to reduce consumption costs.

The solution for our client

The core of our solution is a flexibly scalable platform in the Microsoft Azure Cloud. A long-term hardware solution in the company’s own data centre would hardly have been calculable due to the high data volume. On the cloud platform, the continuous stream of operating, configuration and status data of the heating systems is collected and compared with existing system data. The findings are first displayed in a real-time dashboard so that the manufacturer can immediately detect irregularities and proactively intervene. At the same time, typical consumption patterns are identified, such as for the use of hot water or the heating system as such. On this basis, activity and rest phases of the systems can be intelligently controlled. Last but not least, we train forecast models with the current and historical data. These not only make increasingly reliable statements about the expected consumption. Likewise, forecasts on malfunctions and individual wear parts, including recommendations for action, are automatically delivered to the service technician’s mobile phone.

How data turns into value

Everyone involved benefits from the many possibilities opened up by our cloud solution:

Consumers

  • The data-based, automated control of the systems saves up to 20 percent in costs.
  • Continuous monitoring of the heating data ensures reliable system operation

Installer

  • Positioning as a modern service provider that ensures smooth operation
  • Massive savings in time and effort through intelligent supply chains

Manufacturer

  • Positioning as a technological innovation driver and industry pioneer in the heating business
  • Installers and consumers increasingly opt for the manufacturer’s products and remain loyal to them


turn your data into value.

At a glance

  • Cloud solution enables continuous monitoring of heating data
  • Forecast scenarios ensure more reliable operation and fewer failures
  • Intelligent heating control reduces costs for the consumer
Jens Kröhnert
turn your data into value

Let’s get started!

Do you also want to seize the opportunities of digitalisation and stand out from your competitors with data-driven services?

Join #teamoraylispeople

Shape the world
of data with us

Customer success

Retail: How data can optimise business with perishable goods

At a glance

  • Web app for the ultra-fresh business enables precise planning of order and delivery quantities
  • Uniform planning and analysis interface accelerates processes
  • Sales potential is better utilised and write-off rates are reduced

The business situation of our client

The right use of data can improve processes at any point in your business and lead to significant savings in time and money. Example retail: For a European market leader, we created a solution that optimised the processes around the business with perishable goods – such as fruit, vegetables and cut flowers. Because: too large order and delivery quantities generate high losses, as the goods expire. If, on the other hand, the shelves in the shops are empty, customers migrate to the competition.

Originally, the company used various applications for its different planning and analysis activities. This not only hindered internal processes. Rather, the quality of the findings also suffered because the underlying data was neither complete nor consistent. We have now united all process steps under one user-friendly interface and at the same time ensured a reliable database.

The solution for our client

We developed our integrated planning and analysis interface with ASP.NET and made it available as a web application via the browser. The app uses reporting services to access a Data Warehouse that provides historical data on sales and promotions by region and time as well as in great detail. In addition, we provide continuously updated supplier evaluations, which are carried out throughout the group at warehouse receipt by means of coordinated KPIs.

The combination of Reporting Services and ASP.NET enables data-supported planning with a high degree of user-friendliness. In addition, export options are available in a wide variety of formats, through which analysis results can be seamlessly transferred to further systems such as SAP.

How data turns into new values

The retail group now uses its data effectively for the entire organisation of its ultra-fresh business. In the process, values are created at different levels:

Employees

  • All analyses from quantity to promotion to seasonal planning are covered
  • Fast and efficient work via a fully integrated web interface
  • Suggestions from the system provide well-founded decision support
  • Better supplier selection through quality analyses based on KPIs and thresholds
  • Completed planning can be aggregated and sent directly to downstream systems in report form

Company

  • Cost savings through accelerated processes and lower write-off rates
  • Improved customer satisfaction and loyalty due to better availability of goods
  • Increased turnover due to better use of sales opportunities

Consumers and society

  • Goods are available to consumers when they need them
  • Less food goes straight to waste


turn your data into value.

At a glance

  • Web app for the ultra-fresh business enables precise planning of order and delivery quantities
  • Uniform planning and analysis interface accelerates processes
  • Sales potential is better utilised and write-off rates are reduced
Jens Kröhnert
turn your data into value

Let’s get started!

Would you also like to use your data to optimise the processes around your business?

Join #teamoraylispeople

Shape the world
of data with us