High demands to staying relevant.
One of the biggest challenges for marketers today is relevance. More and more, consumers expect content to be personalized based on their needs and preferences. An email with generic messages falls flat and has a low click through rate, or a website landing page with generic messages and content fails to convert prospects to the next level.
For many marketers, broad segmentation based on historical data and segment-based content creation has been the best approach available. Unfortunately, even this approach leaves many campaigns with low click through and conversion rates
AI drives relevant dialog with customers.
AI techniques can be used to create 1:1 personalization of content that matches the right content with the right customer at the right time. AI models can use a broad set of signals about customer intent including real-time behaviors, prior purchases, preferences, and interests of similar customers. For website landing pages, for example, AI can be used to dynamically select the content including images and messages that will be most likely to convert a given customer.
For emails, AI can be used to dynamically compose an email creative from available images and offers to provide the greatest appeal. For all these cases, the content that is selected is based on the individual customer’s real-time behavior, most recent purchases and interests, instead of old insights or broad segments.
Inovia Enterprise AI - enabling all industries to use the power of AI.
When we founded Inovia AI, we had one vision in mind – to help clients unleash the power of data. To reach our goal we created a flexible AI framework that allows us to build new products rapidly and create solutions that are tailored to our client’s challenges and opportunities.
The result is Inovia Enterprise AI Platform with AI Microservices or Pre-packed AI Solutions that enables all kinds of industries use the power of AI to solve business and social challenges.
Inovia Enterprise AI is outstanding platform for automatic machine learning that empowers data science teams to scale by dramatically increasing the speed to develop highly accurate predictive models.