Artificial Intelligence Enhances Customer Satisfaction In Retail

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The presence of Artificial Intelligence in stores contributes a more personalized experience to consumers presenting an interactive environment. AI drives quicker decisions in marketing and product management. Fast insights enable prompt actions for increasing sales conversion and customer satisfaction.

AI in retail helps the industry to understand the pattern and behavior of the consumer’s growing demand. Understanding customers’ demand is necessary for any business to succeed. Most customers are more willing to purchase from a firm that remembers them and gives relevant offers and recommendations. Amazon, Flipkart Fashion, etc. remakes retail with data science and algorithms that match one with clothes that match their style and price, which points all without a single tour to the traditional brick-and-mortar store. The retailer should pay its customers as the data they provide allows such personalization.

AI makes retailers more convenient. Customers today shop across an ocean of touch-points. They research online via mobile devices, purchase offline or online. They don’t even think about channels and just do what’s more convenient to them. So the retailers need to create an Omni-channel experience to make it as easy as possible for the customers to switch between channels. Artificial Intelligence and Machine Learning will facilitate these efforts.

AI will provide more high-touch encounters over the retail spectrum even though it’s not exactly human. A person using a fitness app for yoga is regulated by AI. Hence, if he misses it for two days, AI can see that data and engage with you bringing a deep customer experience. AI will frequently make high-touch interactions that will make shopping more experiential than simply transactional.

Customers prefer to communicate with a person rather than a bot. Businesses need to make the customer believe that artificial intelligence not only reduces cost but also enhance customer service. For that, businesses need a higher level of expertise in customer support, where routine tasks are frequently becoming automated and customer relations staff were tasked with the more demanding jobs. They also need expertise in technology and data to guarantee that the use of AI is based on a deep understanding of customer needs and experience.