Industry

Quick product launches, connected manufacturing, changing customer requirements: The demands being placed on industrial companies are growing. Whether they are in the manufacturing, process or consumer goods industry, they all have to harness the opportunities provided by digitization if they want to stay competitive. New technologies help these industries to connect machines with one another, and to optimize business processes and supply chains using closely linked IT.

Companies can counteract increasing internationalization by aligning their global processes with the help of new IT solutions. In addition to this, companies that take new approaches in the field of customer relationship management can meet customer demand quicker and more cost-effectively. This improves customer retention in the long term. Lufthansa Industry Solutions has already helped more than 170 industrial companies to design forward-looking, secure IT systems in order to harness the opportunities provided by Industry 4.0 and to utilize new technologies such as cloud computing, mobile solutions and big data analytics profitably.

Knüppel switches from SAP R/3 to SAP S/4HANA

The packaging specialist Knüppel has swapped its aging, customized SAP R/3 system landscape for an integrated SAP S/4HANA landscape.
Knüppel switches to S/4HANA

Utilizing and maintaining devices more efficiently with sensor technology

The IoT is a driver of digitization. If industrial companies utilize sensors, they can use their devices more cost efficiently and provide customers with new services.
More about sensor technology solutions
Erfahren Sie mehr über smarte Supply Chains und ihre Rolle in der digitalen Transformation

Logistics as the central coordinator in the supply chain

A smart supply chain is one part of a successful digital transformation. If logistics companies are the ones driving these changes, they become indispensable partners to everybody involved.
On the way to a smart supply chain
Erfahren Sie mehr über technologische Möglichkeiten der Industrie 4.0

Industry 4.0: sensing the way to the smart factory

Industry 4.0 solutions are digitally driving success in production. For this reason, companies should implement IoT projects today in order to stay competitive.
The potential of Industry 4.0 and IoT

Wind turbine maintenance 4.0

The complexity of maintenance processes is increasing due to growing demands on quality and safety and mounting documentation requirements. New technologies are simplifying the maintenance of wind farms.
Four fields of application
Erfahren Sie mehr über Konzeption und Implementierung professioneller CRM-Systeme

Improving customer relationships using the right CRM system

Professional CRM systems place the customer at the forefront of company processes and simplify the work done by sales and marketing.
Digitalizing sales structures

Agile project management: reaching the goal faster and more efficiently

The best way for many companies to face up to the pressure to innovate being exerted by digitalization is to put their trust in agile project management when it comes to product development.
Utilizing agile project management
Erfahren Sie mehr über das Potenzial von Cloud Computing

Seize the potential of cloud computing and save money

Cloud computing is one of the most important basic technologies in the digital transformation. It promises a high degree of flexibility, easy scalability and lower costs.
More competitive thanks to cloud services
Erfahren Sie mehr darüber, wie die Blockchain Vertrauen digitalisiert

Blockchain makes trust digital

There are many possible uses for blockchain. Dr. Carsten Böhle explains why companies should now develop entirely new processes to seize the potential of this technology.
The potential of blockchain
Erfahren Sie mehr über Big Data und Künstliche Intelligenz

Increase customer loyalty and automate processes with big data

Big data and artificial intelligence are the key to using machine learning in invoice auditing and increasing customer loyalty through personalized offers.
Big data and machine learning
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