Customer experience is defined as a function of human interaction. Right from the first brand interaction on a website or store to final fulfillment of demand to after sale services, it has always been about impressions that employees leave on a customer. With artificial intelligence, this customer experience can be made better exponentially, reflecting in higher sales, happier customers, and improved net promoter score (NPS).
Quick Response Solutions
For starters, artificial intelligence can improve all customer interactions that are judged on response time. Modern age customers look for quick responses and solutions. Intelligent automation is a convenient and cost-effective way of handling first responses on queries and brand interactions. AI-powered systems are self-learning and therefore are a great tool for question-answer format interactions. A high-speed data processing power makes them useful in malls, banks, service centers, hospital receptions, and any other customer-focused outlets.
Personalized Customer Experience
Also, on the basis of these interactions, AI can create fresh data that will help in personalizing customer experiences in the future. In the process of handling queries and complaints, huge database of buying patterns and preferences can be accumulated and used to offer personalized customer experiences. Such insights can go a long way in turning brand users into brand loyalists.
Sales require a two-way interaction – where understanding customer requirement is as important as laying out product features and uniqueness. With so much data to feed on, robots can be masters at offering intuitive solutions to customers who are unsure of the right product fit for their needs. This is certainly more relevant for ‘business-to-consumer’ models where the final customer is looking for a problem to be solved. From suggesting best travel destination to finding the most suitable cream for particular skin type, AI can easily replace human assistants in data-centric jobs.