Ai-MicroCloud™ for Telecom

Customer Churn Prevention,  Life Time Value Prediction, 

Fraud Mitigation, Network Planning and Optimization

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Overview: 

 

Technology in Communication networks is rapidly changing to meet the ever - rising customer expectations. The complexity in communication networks seems to increase with deployment of new services such as SD-WAN, NFV and SASE networks. Telcos are working to enhance their capability set in network Planning, Engineering, Operations, Optimizations fraud mitigation and Cyber security to have better customer intelligent relations and  experiences and move towards the real time closed loop automation with the induction of AIML.  

Time Series Data Analytics in the Telecom Industry

Customer Churn Prevention

Forecasting sales of a product or service plays an important role in the life cycle of almost every retail company. The estimation of future sales can drive plenty of management decisions, such as efficient inventory management, prevention or early detection of potential issues, price setting, and marketing.

Life Time Value Prediction 

Another common task for retailers is to forecast future demand. For example, without a qualitative forecast, it can be very difficult to assume the right amount of stock that should be available. Retail forecast accuracy is negatively affected by rapidly changing conditions and forecast errors reach 30 percent or more, on average. Demand planning is a challenging use case, but one with lots of potential for improvement.

Fraud Mitigation

Forecasting sales of a product or service plays an important role in the life cycle of almost every retail company. The estimation of future sales can drive plenty of management decisions, such as efficient inventory management, prevention or early detection of potential issues, price setting, and marketing.

Network Planning and Optimization

Another common task for retailers is to forecast future demand. For example, without a qualitative forecast, it can be very difficult to assume the right amount of stock that should be available. Retail forecast accuracy is negatively affected by rapidly changing conditions and forecast errors reach 30 percent or more, on average. Demand planning is a challenging use case, but one with lots of potential for improvement.

Edge Video Analytics Use Cases for the Telecom Industry

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Store Aisle Monitor

Capture video, generate a heat map, record the number of patrons, then integrate the results. Draws a box around each detected person

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Store Traffic Monitoring

Monitors the activity of people inside and outside an imaginary storefront and keeps track of product inventory  

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Shopper Gaze Monitor

Solution to analyze customer expressions and reactions to product advertising positioned on retail shelves 

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Restricted Zone Notifier

Detect number of people entering into a restricted zone and sends a warning message 

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Ai-Rover™

For Time Series Data

Automated predictive model-building that creates human-readable explainable forecasts and anomaly detection models from historical time series data

Use Cases

Overview

Ai-MicroCloud™ for Telecom

AI Data Workshop

The Journey from Data to Insights 

5 day, Hands-on Session