Abstract
The number of digital users across the different sectors has increased exponentially. More users these days are leaning towards shopping online for different types of products, enabling many businesses to expand their reach via internet. As the business grows it becoming more and more challenging for businesses to attain high satisfaction among the customers by addressing their queries and resolving them promptly to retain users, attract new customers and safeguard the business reputation. In this digital era, anything can travel fast to different corners of the world. So, it becomes an utmost importance for the businesses to safeguard their reputations. This exponential user growth generating even higher number of customer reviews are presenting an uphill task for businesses to address each customer. Especially, the ones which have negative experience with your products. Employing human force to address these issues are soon becoming a nearly impossible task and unrealistic. In this paper a novel “Multi-Agent Artificial Intelligent Automation” framework has been proposed to auto address the customer review with human-like responses, auto case resolutions with intelligent solutions to the customer problems to reduce cognitive load on company’s workforces which can be employed to take care of cases which needs human intervention. Our novel framework is estimated to produce high accuracy (~93%) in the sentiment analysis. It is expected to provide a significant boost to the system performance (~40% – 50%) with ~72% reduction in response latency.
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