Customer Insights and Predictions

Leverage any available data and advanced AI to gain real-time insights, predict customer behaviors, and optimize Customer Lifetime Value (CLV).

Familiar Challenges?

  • Increasing customer acquisition and retention

  • Enhancing customer experience

  • Identifying the next best action towards the customer

  • Optimizing pricing, features, and campaigns per customer segment

  • Forecasting demand

Our Solution and Customer Benefits

Expert consulting to develop and deliver customer data platforms and related solutions on Google Cloud for customer data analysis, predictions, and actionable insights. This will enable:

  • Advanced customer segmentation and profiling
  • Accurate predictive analytics and modeling
  • Customer Lifetime Value (CLV) analysis to predict the expected value of a customer over time and optimize long-term profitability
  • Trend analysis and forecasting to see what’s next
  • Robust data governance and quality to unlock insights and stay compliant
  • AI and machine learning for personalization

Our Unique Value

  • Existing and direct integrations with Google Cloud analytics tools

  • Possibility to combine Google Cloud with Google’s marketing data tools

     

Machine Learning on Google Cloud | Koneoppiminen

Our Customer Insight and Predictions References

Vinka Predicts Transportation Demand with Machine Learning on Google Cloud. Codento developed a solution that utilizes artificial intelligence and location data, which can be used to predict the number of orders simultaneously in time and place.

Google Cloud Capabilities

  • Vertex AI
  • Big Query
  • Looker

How to Get Started

  • Summarize call transcripts or emails

  • Gen AI summarization

  • Multi-lingual support

  • Smart reply

  • Generative steering flow

  • Generative AI bots

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