Press Release
April 22, 2022
Telecommunication companies are facing increased competition and longer device upgrade cycles. Telecom must leverage AI-driven analytics to help lower customer churn, increase upsell and cross-sell opportunities for new services, and optimize network infrastructure for higher service quality and customer satisfaction. Leverage the power of AI to create a healthier bottom line and to produce new revenue streams.
dotData automatically analyzes your vast transactional customer behavior data containing billions of records and discovers millions of feature hypotheses. Develop more accurate models for customer churn, B2B outbound sales, call center optimization, or network parameter optimization. Gain deeper customer insights through AI-derived features to personalize, automate, and optimize marketing and sales campaigns to boost customer satisfaction and retention.
Analyze customer attributes, historical behavior, and usage data to predict contract signing characteristics as well as cancellations. Identify product preferences and optimize marketing budgets to maximize sales efforts.
Through AI Automation, you can optimize marketing campaigns by identifying key predictors like the probability of upselling video services to a client who visited the website a specific number of times.
Increase customer growth as well as upsell/cross-sell opportunities by creating the ideal campaign/product mix.
Analyze agent conversations to identify key attributes and conversation topics that lead to a sale to improve close rates and build more targeted lists.
Leverage AI Automation to analyze transcripts of agent calls to build a predictive model of conversations that lead to a sale to optimize call lists and agent scripts.
Increase close rates and agent satisfaction by providing more targeted call lists based on key attributes that lead to a sale.
Automate the maintenance schedules of network facilities based on analysis of historical data to optimize performance, communication quality and to reduce costs.
dotData analyzes the large historical performance metrics and parameters to discover and evaluate key patterns that lead to poor quality calls and low performance.
Improve communication quality and increase overall customer satisfaction, all while lowering operational cost.
Analyze equipment failure data to identify silent failures as well as alarms and underlying conditions that triggered the problems to improve network performance.
Analyze CPU resources and session volumes in varying conditions to build predictive profiles of suspected problem areas and events in order to take preventive measures.
Improve communication quality, customer satisfaction and reduce lead time for fault recovery.
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Develop and deploy predictive analytics models in record time with the power of Automated Feature Engineering and No-Code AI Development.
Build better ML models with better features. Augment your hand-built features with Automated Feature Engineering fully integrated in your Python Environment.
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