ElectrifAi, Leading ML Solutions Provider

The telecom landscape has significant data, including customer information, network inventory, call details, billing, customer support, and server logs. Within this data, there are hidden materials that can boost growth, improve efficiency, reduce service costs, and optimize operations. Such data can be unlocked with machine learning (ML) and artificial intelligence (AI) to allow telecoms to analyze, categorize, and transform a significant amount of data and solve complicated business problems. These pre-developed machine learning solutions have boosted the capabilities of many businesses to satisfy their customers.

ElectrifAi is the leading software that has assisted significant telecom providers in understanding their clients comprehensively, mitigating churn, activating new subscribers, increasing their revenue, purchasing more, and growing their expenditures.

ElectrifAi’s Transformation of Churn into Growth

Challenges

ElectrifAi’s customers did not have client experience trends, and the telecom’s use of stored data often led to improper retention programs. The telecom needed a proper understanding of what customers wanted and therefore used this AI solution to address these challenges.

Solutions

ElectrifAi has ML-powered solutions that cover various marketing strategies for their clients. This AI solution has a test-and-learn feature that their clients can use to know the location of their customers. Also, the AI solution has an on-site resolution but can migrate to a cloud service.

This AI solution compiled more than 4,000 signals using several models to create a 360⁰-view of every network subscriber’s exclusive use of the telecom service. Data consolidation is also on about 2,500 data fields, both first-party and third-party data. The AI solution led to an increase in total revenue of the telecom company to $130.

ElectrifAi is among the USA’s best ML solutions establishments, and it has a significant library of pre-developed ML solutions, meaning its clients can acquire benefits quickly. This solution does not require investing in a new platform; it uses the existing data in their clients’ systems to enable ML solutions to bring outcomes to businesses.