Use case

A 360o omnichannel experience powered by Artificial Intelligence

The combination of omnichannel strategies and AI delivers insights of the needs and preferences of HCPs.

By using relevant data from the different information sources, AI can help Pharma companies better understand prospective customers by predicting behavior of the potential new customers and design improved marketing strategies.

Omnichannel

What do we solve?

Pharmaceuticals seek to gain a deeper understanding about customers and to provide highly personalized communication. To succeed in today’s digital environment, Pharmaceuticals need to use this knowledge coherently for a deeper understanding of customers. Characterizing customer behaviors, opinions, needs and preferences, results in an omnichannel business decision-making support.

How do we solve it?

Ingest data from different channels.

  • We identify the main channels and customer touchpoints to: 

      Collect user behavior (visualizations, click rates, consumptions, likes, social interactions)

      Process text-based data with advanced AI (reports, notes, social media, emails) to extract relevant concepts, topics, sentiments, links and similarities

      Transcript audio and video interactions to process the resulting text with advanced AI

      Include other structured data (hospital, age, specialty, experience, publications, etc.)

      Use advanced AI to have a unique and coherent knowledge representation for later analysis

Finding behavioural patterns.

  • With the knowledge representation, we can find patterns of users, content, concept, trends, etc. for later Monitoring and Recommendation. This analysis helps to answer questions like:  

      Who are KOL and influencers?

      What are the main groups of customers in terms of thoughts/behaviours/opinions? 

      What are the current and the evolution of worriers, issues, topics? 

      What is our brand and competitors’ positioning? 

      What content/promotion/tools can we recommend to users attending to their profile, behaviors, thoughts, etc.?

  • With the knowledge representation, we can find patterns of users, content, concept, trends, etc. for later Monitoring and Recommendation. This analysis helps to answer questions like:  

      Who are KOL and influencers?

      What are the main groups of customers in terms of thoughts/behaviours/opinions? 

      What are the current and the evolution of worriers, issues, topics? 

      What is our brand and competitors’ positioning? 

      What content/promotion/tools can we recommend to users attending to their profile, behaviors, thoughts, etc.?

WHAT do we deliver

A marketing and business dashboard with an integrated recommendation system to:

Monitor for decision making: This helps to understand market trends, to better target the right customers and to develop the right strategy.

Personalize: By using advanced AI, the system automatically suggests the right content, offer or promotion to each customer, based on behavioural patterns, market trends and company strategy.

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