New Data Solutions

Every company has master data. But not every company can use it efficiently and profitably. But we know that companies which are well-positioned in the area of master data management can respond very quickly and effectively to any kind of challenge. Whether it is the targeted addressing of customers and partners, providing product master data in supply chains or marketing new product solutions.

Especially in the area of customer services, fast and helpful answers are expected. Chatbots are often used as solutions as they provide an increasingly good 24/7 service and thus counteract increasing staff costs. This way, you can deploy your well-qualified employees for more complex tasks and establish a multi-layered customer service. And you increase employee satisfaction through skill-appropriate deployment and customer satisfaction through shorter response times.

One of the central questions in the consumer products area is: Where are the ordered goods at present? Fast and reliable deliveries pay off in the long term. With the help of distributed ledger technology, you can provide reliable proof about the status of the goods and document the transfer of risks.

The mass of available data is increasing daily. But which data is relevant? How can companies use this data? Which analysis options exist? Which questions can be answered with the help of data? With the help of our innovative technologies, we collect data and use it to control processes, for example. At the same time, we use state-of-the-art cloud technologies to reduce IT costs without having to waive convenience and efficiency.

Consumers are financially confident and optimize their spending. However, they don’t put off necessary investments. Instead, they expect a tailored mix of offers for products and services that meet their expectations. This mix includes trial offers and on-demand services. The after-sales support offered to customers is also crucial.  A customer service that also works with chatbot technologies is an important component here.

The number of digital channels to get in touch with customers is growing and adapting to the individual consumer. If you want to reach your target group effectively, have to know and manage these channels. The customer journey must be known and must include all digital touchpoints. This is the only way to get to know your individual customers and meet their expectations in the long term.

Business models have long since established themselves that offer customers more than just the retail store as a touchpoint for purchasing products. This includes customers leaving their digital footprints at the touchpoint. These footprints are valuable and need to be particularly protected. Not only because this data may be personal data, but also because it reveals the consumers’ expectations. The better these expectations are met, the higher the customer’s trust in the platform or marketplace.

The customer is king. This means getting to know and understand them better. This goes hand in hand with a personal approach and providing relevant information. The customer journey is customized and customer-specific problems are solved more quickly.

Confident customers and partners expect fair prices. In the interests of sustainability, they also demand transparent pricing models. And there is an increasing demand for individual pricing. Together with you, we develop pricing models that reflect the value of the entire supply chain and enable sustainable business. Customers and partners are willing to pay fair and transparent costs. Especially when it comes to products that make tomorrow’s world a better place to live.

Understanding the customer journey plays a major role in staying one step ahead of customer needs. The more you know about yesterday’s and today’s consumer behavior, the easier it is to predict tomorrow’s expectations for personalized offers.

Using analysis methods and algorithms, we are able to analyze the data of the entire value chain to develop tailor-made offers and solutions in advance.

Data that can provide information about the consumer's satisfaction or the efficiency of processes is often available in large quantities, but is seldom used profitably. With our big data solutions, we mine this data trove using, among other things, technologies for building AI-based forecasting models. We use various simulations to calculate trends in consumer behavior.

The customer is king. This means getting to know and understand them better. This goes hand in hand with a personal approach and providing relevant information. The customer journey is customized and customer-specific problems are solved more quickly.

The climate crisis is ever-present and consumers are developing an awareness for sustainability and environmental protection. This makes reliable proof of CO2 omissions during production and in the supply chain all the more important. The use of the latest industry 4.0 plants makes it possible to answer questions regarding sustainability. And by means of intelligent data analyses, we help to optimize production and supply chains ecologically and economically and to provide the required transparency.

The digital twin is the digital image of a real product. It contains all data, from the serial number of the components to the geo-coordinates of the origin of the raw materials. It therefore plays a crucial role in the supply chain tracking. When DLT is used in this context, falsifying the digital twin is almost impossible. This way, the digital twin in combination with DLT not only pays off in terms of availability, sustainability, tracing and transparency, but also increases consumer confidence in the product and the ecological supply chains.

Within supply chains, not only are goods and components transferred but also digital information about these components. This product information is entered, maintained and managed in Product Information Management (PIM) systems. When transferring product master data, the appropriate taxonomy, the type of classification and format are crucial. The goal is to read-in data into different systems without additional conversion effort, if possible. Using small but very efficient solutions for converting product master data, we help you to efficiently design your product data supply chain

DLT / blockchain enable the decentral exchange of information based on a defined standard. Transactions are verified using a specific consensus process. Complex processes can be mapped decentrally according to their original requirements even if they are currently mapped centrally. This way, business transactions, financing and credit information, tracking or transfer of risks can be mapped using DLT, for example. And this can be done in such a way that this information is always reliable and the contents of the documents cannot be changed without authorization. Elaborate processes for checking credibility can thus be eliminated.