There is no question that artificial intelligence brings a breath of fresh air to many areas of online commerce. But in many cases the efficiency and effectiveness of this technology can still be optimized, as it reaches its limits more quickly due to the enormous customer requirements and the ever-increasing amount of data.
ODOSCOPE’s situation rationalization represents the way out of this impasse, in which many online retailers are stuck because they have followed the major market leaders.
Situationalization is a method for the optimization of digital channels with which each user can be shown the most relevant content with the highest conversion or purchase probability in real time. By using this technology, you not only compete with the big players, but are even one step ahead of them.
Instead of surfing behavior and personal data, the situationalization solution uses situational information to characterize users: Whether they are in a metropolitan region or a rural area, use an Android Tablet or a Microsoft PC, and whether they come via the shop newsletter or a Facebook Ad, has a surprisingly large influence on their current interests and buying behavior. Based on these situational characteristics, online merchants can tailor their shops to each individual user – from the first moment of his visit and regardless of whether he is known or anonymous. In addition, this method is 100% DSGVO compliant, because the actual identity of the shop visitors does not matter.
The underlying Operational Intelligence technology goes further than artificial intelligence and works on the basis of a comparison with similar users – in this case those who find themselves in a similar situation to the current visitor. The group of statistical siblings is therefore much smaller and more precise. In this way, retailers really do justice to the diversity and individuality of online shoppers. Prescriptive analyses play out the shop elements with the highest conversion probability for the statistical siblings fully automated in milliseconds.