Artificial intelligence in your online shop
Why understand the intent of your online shoppers?
The classic journey including the usage of your onsite search only responds one-to-one to keywords and displays results – without seeing the user’s behaviour, taking it into consideration or even making smart assumptions. Now, at the beginning of 2020, it seems that nothing changed the last 10 years within digital experience.
In computer science, artificial intelligence (AI), sometimes called machine intelligence or machine learning, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Leading AI textbooks define the field as the study of “intelligent agents”: any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.* Colloquially, the term “artificial intelligence” is often used to describe machines (or computers) that mimic “cognitive” functions that humans associate with the human mind, such as “learning” and “problem solving”.
* Russel & Norvig 2009
Online-shops get prepared to create a competitive edge. The correct understanding and smart usage of Artificial intelligence offers massive opportunities and will create game changers.
Following the slogan ‘understanding – implementing – scaling’ companies start small, gain first experiences and then become more and more familiar with the topic.
Use your momentum now!
As mentioned in the beginning, the classic “search” as we know it only responds one-to-one to keywords and lists hundreds of results – without understanding the user’s intent. For the user, it creates a highly frustrating shopping experience. How to overcome this?
We would like to introduce you to FINDOLOGIC Lisa.
FINDOLOGIC Lisa, using latest data analytics and AI, reads your users intention and is able to deliver more meaningful results within skills. Depending on the vertical and the webshop’s positioning up to 5 intents and skills at the same time.
Lisa pursues a fundamentally different approach. Lisa enables you to offer your customers exactly what they are looking for online: The advice of someone who understands them.
Example and Status Quo in any fashion-shop:
Hundreds of unsorted results within one category.
Shirts. Scrolling for 40 seconds. Browsing page 2. Getting confused by more variants of colours, more available brands, new items, sale items. Unsorted. No guidance, nor digital help. Just several uninspiring options like filters for users to help themselves.
Does this really attract, or maintain customers in the near future? We don’t believe so.
Adding Intent Discovery & Skill with FINDOLOGIC Lisa:
Referring to the example here: Browsing intent recognition, offering a responsive skill guiding the helpless user, like a human sales person would do. The customer feels understood and well advised. This will create happy customers and happy customers will return and love your brand.
Marcel Krabath ist Assistent des COO bei der Findologic GmbH. Er bildet die optimale Schnittstelle zwischen Marketing und Operativem Management. Zusätzlich recherchiert und gestaltet er Inhalte für Blog sowie Social Media und pflegt die firmeneigenen Social Media Kanäle um alle Kunden mit möglichst aktuellen Informationen zu versorgen. Sein Ziel ist es, dass die CI der Findologic GmbH gepflegt bleibt und der Inhalt aller Vertriebskanäle immer korrekt und aktuell ist.