Artificial intelligence's (AI) importance in customer service has significantly expanded in our daily lives. Businesses and customers are already swiftly adjusting to the new reality thanks to AI's simplicity of use. Artificial intelligence is useful in many areas and corrects common mistakes in conventional customer service. The three most prevalent problems customers have with customer service involve delays in responses, a lack of contact control, and the difficulty to receive help outside of typical business hours. The good news is that AI can handle these problems with ease, especially when it comes to customer service. Since AI is ultimately dependent on the data provided, and today data is available in abundance and an effective analysis of that data is required in order to gain competitive advantage over rivals and only with the help of AI can this be achieved, it may be essential for businesses to employ AI-enabled customer experience solutions that capture and model data in order to improve both customer satisfaction and the overall health of the company.
Top2. Artificial Intelligence And Big Data
Artificial intelligence, which can be termed as both a robot and a phone, automate mundane human tasks, recall things that are elapsed, intelligently summarize complex information, learn from you, and even make suggestions (Gilbert, 1997). Since AI ultimately depends on the data that is provided, it may be crucial for organizations to increase both customer satisfaction and the general health of the company, AI-enabled customer experience solutions that record and model data should be implemented.Big data, machine learning, and potent solutions form the foundation of artificial intelligence's strength. This is where the idea of “big data” comes into play. By making it easier for businesses to gather and organise huge, complicated volumes of data, big data gives organisations the chance to employ more assimilated data. Based on this client self-data, it makes sure that consumers receive the products that correspond to their demands and needs at the appropriate time and location via the appropriate distribution methods.
The 3V model explains big data (Laney, 2001). The volume that describes the size, the variety of unstructured and semi-structured data unfolding, complicated data, the amount of time it takes to analyse big data and today's most significant aspect is speed or velocity.
Machine learning (deep learning) it is a very important aspect which lets the marketers to obtain an advantage over rivals in the market by understanding the logical conclusions from their big data collections and having the authority toentice customers to buy their products. Most crucially, because of this idea of artificial intelligence, firms who use it in their marketing strategies can forecast customer inclinations, track and analyse consumer purchasing behaviour, and forecast the consumer's subsequent purchase behaviour.