In a recent episode of the EGN Podcast with Efe von Thenen, we had the pleasure of hosting Ralph Hünermann, the founder and CEO of ODOSCOPE. With his deep expertise in data, AI, and optimization, our guest delved into the rapidly evolving landscape of e-commerce personalization. Keep reading to find out more!
Firstly, Ralph Hünermann emphasized that the future of e-commerce lies in personalization. He pointed out that the days of static, one-size-fits-all online shopping experiences are numbered. Customers today expect a more tailored experience, where they are shown products relevant to their needs without having to sift through endless options.
The Importance of Trusting Data
One of our guest’s critical messages in the interview was also the importance of trusting the data businesses collect. Despite the vast amounts of data accumulated, many companies still rely heavily on manual processes, gut feelings, and outdated methods like sorting products alphabetically. He argued that businesses need to move away from these methods and start utilizing their data to make informed decisions that can be acted upon in real time.
This transition, according to our guest, requires companies to break down data silos and integrate all aspects of their customer and product data to create a comprehensive picture. By doing so, they can make their e-commerce platforms more adaptive and responsive to individual customer needs.
Overcoming Technological Barriers
A significant barrier to implementing effective personalization, Ralph Hünermann explained, is technological. Most current systems are not equipped to generate personalized experiences for every individual user in real time. However, ODOSCOPE has developed a unique database technology that allows for rapid, real-time calculation of product relevance based on millions of sessions, paving the way for true one-to-one personalization in e-commerce.
Do you want to find out more? For example, how our guest predicts how personalization and AI will continue to transform the e-commerce landscape? Watch the full talk below:
Can’t watch? No problem. It is also available on Spotify and Apple Podcast.
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