The Challenge
Immediate reactions through secure real-time event streaming
Not only retailers with large online stores, but also small and medium-sized companies with a smaller product range are facing the challenge of monitoring customer behavior and reacting to it in real time. Knowing where the cursor is at any given time not only improves the customer experience, but also provides a competitive advantage. Precise real-time analysis of data allows companies to place advertising more efficiently, promote products better and provide prospects with the most relevant products. But every millisecond counts: if the right moment is missed, the product recommendation is useless.
the solution
Process the right data with Kafka data streaming platforms
To avoid this and optimize the customer journey with real-time data, comprehensive event and data streaming platforms based on Apache Kafka are the ideal solution. In this context, it is crucial to precisely analyze the existing data and system architecture in a conception phase so that the right data from the relevant systems is used to achieve the set goals, such as an improved up-selling rate during checkout. The solution design is then defined according to the resulting technical requirements and finally implemented using Apache Kafka. Thereby it does not matter whether a platform for data processing already exists or not: existing solutions can be migrated from batch to real-time processing, provided the right basis has already been laid with Kafka. In both cases, however, it is recommended to carry out expert training with technically experienced power users directly after development. In this way, companies only need new development services for major changes, while they can continue to operate the systems independently.
the result
Improved customer loyalty and increased efficiency
Things get really exciting for online retailers once the data streaming platform has been implemented. User behavior can now be monitored in real time using a dashboard. It shows the key figures obtained by means of data and event streaming, whereby their presentation and evaluation can be individually configured during implementation to meet specific needs. The insights into user behaviour thereby gained not only allow online stores to optimize their offering, but also serve as the basis for automated and intelligent interactions such as personalized product recommendations. But there is more: thanks to real-time data, technical problems can also be identified and rectified much more quickly. The aim is therefore to use real-time data analysis to both improve the customer's e-commerce experience and reduce the downtime of the online store in the event of technical problems.
Advantages
- Improved customer journey for e-commerce companies of all sizes
- Optimally exploit up- and cross-selling potential
- Minimize downtimes of online stores thanks to real-time data
Frequently asked questions
