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Fusionex to drive customer engagement for international energy giant

 

Fusionex, a leading multi-award-winning software solutions provider specializing in Big Data Analytics (BDA), Artificial Intelligence (AI), and Industrial Revolution (IR) 4.0 technologies has won a multimillion-dollar, multi-year contract to drive customer engagement for a world-renowned Energy Company.

The client employs about 20,000 workers and has a strong track record spanning over 30 years. The client specializes in generating fuel and energy which powers up multiple industries and drives economic growth. To aid the client in better understanding and engaging with their customer base, Fusionex will be providing a platform that will provide hyper-targeted offerings to its customers.

This platform enables customers to be targeted based on their consumption patterns, demographic profiles, purchasing patterns and other parameters. The client’s digital marketing arm will be able to target customers more accurately and intuitively. Customers will only receive relevant promotions and will be spared the annoyance of irrelevant messages.  With this ability to conduct targeted marketing campaigns, the client will gain from expenditure savings as they will not need to waste resources on unnecessary customer engagement activities.

Fusionex will also be providing the client with Fusionex BDA, AI, Machine Learning, and Cloud computing. These solutions will help the client manage customer records and profile customers based on which products and services they use regularly. In a simulation of the client’s customer engagement and management, Fusionex is projected to help the client increase customer engagement efficiency by 17%.

Fusionex Founder & Group CEO Dato’ Seri Ivan Teh said, “We are thrilled to be working with a company that is as forward thinking as the Client. By enhancing their customer engagement platform via embedded AI and Machine Learning, the Client will gain powerful insights and foresight. This will allow them to better serve their end-customers.”

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