Strong customer loyalty relies on how well you know your customers. AI-based churn prediction lets you respond to their needs in a timely and sustainable way. Analyze needs, customer behavior, and communication to increase sales, minimize switching risks, and predict future desires. Provide a more efficient consulting service that benefits your business and customers alike.
+30% more time for new customer appointments
-70% less churn
-30% shorter preparation time for consultations
+30% more sales through up- & cross-selling
Churn Prediction 3.0
AI-based analysis of customer relationships can be used to identify patterns from many previously untapped data sources and thus gain insights that would not emerge without smart analysis. This method can also be used to anticipate market trends from Big Data. In addition, cyclical learning continuously improves the accuracy of AI models to predict customer behavior and needs even more precisely.
Increased customer satisfaction
Tailored needs analysis
Stronger and longer customer loyalty
Structured work for sales staff
More time resources for employees
Increased internal target setting
Shorter reaction time to market trends
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We look forward to your questions on the use of artificial intelligence.
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Always have an eye on the demand for loans, building society contracts or savings accounts, never miss an upselling opportunity for leasing offers, shares, or consumer loans.
#customer_satisfaction #matching #closing_the_deal
Always match contribution margin and insurance type to your customers’ needs and prepare policies for all types of insurance according to customer preferences.
Churn Prediction first uses so-called Connector Skills to extract data from a wide variety of sources. After an initial data analysis (structure, consistency, bias, etc.), the sources are combined and fed into AI models. These are further trained depending on the required functionality (e.g., a recommendation engine). Finally, the optimized Skills are combined to the final solution for live operation.
Time Series Analysis
Analyze data to predict the continuation of a series.
Named Entity Masking (NEM) masks & safely obscures all personal data. Freely place and add to render anonymous data along your skill chain.
Generate new data most similar to your example data. Widely used for the upsampling of ML training data, e.g. to discontinue data flaws like bias.
AIOS – The “How”
Leftshift One’s AIOS (AI Operating System) software enables you to benefit from churn prediction 5 to 10 times faster than with conventional software integration. The system uses the necessary pre-configured AI models in the internal marketplace to accomplish real-time condition monitoring and data analysis. AIOS transparently monitors this analysis process 24/7 via a clear dashboard.