Artificial intelligence (AI) already had the ability to understand the language of customers, assess their demands and refer them to the most appropriate sectors, making the service more efficient and agile. This is how it has consolidated itself as a pillar for retail organizations. Now, with the rise of Generative AI, technology has gone one step further: it has started to offer more personalized interactions, capable of truly understanding consumer behavior. According to the BoF-McKinsey State of Fashion survey, 79% of customers expect AI to understand their needs and offer more accurate recommendations.
“Imagine a scenario where the system detects that a good part of the customers is dissatisfied with the waiting time in the queues or with the lack of inventory, for example. Or that a certain product or promotion causes more irritation in the tone of voice than the average. With this very specific information at hand, the tool can suggest a more empathetic approach of the sellers or other improvements that retain this consumer. As a bonus, the store starts to have access to a valuable database organized, extracted from its own services”, explains Carlos Sena, founder of AIDA, a Generative Artificial Intelligence platform (GenAI) focused on deciphering the Customer's Voice.
This solution is not limited to interpreting the words spoken, as chatbots do, but also analyzes the regionalisms, emotions and context of that interaction. This allows you to identify behavior patterns and critical points of improvement, offering insights to increase customer satisfaction and loyalty.
From the analysis of these interactions, it is possible to anticipate certain behaviors and customer needs, enabling the development of more personalized sales strategies and more satisfactory experiences, to be used as a reference. “It is not just about solving problems, but learning from them”, continues Sena.
That is, in addition to reducing response time in service, AI also contributes to the training of sales and support teams. Proof of the effectiveness of this method in the long term is a study by McKinsey, in which companies that use AI for employee training have recorded an increase in operational efficiency. Thus, from the data and insights collected on the strategic audience, the platform can be used as an aid in the training of the retail team.
“With a more efficient service, retention and satisfaction rates tend to increase, while operating costs are reduced. AI does not replace the seller or the human attendant, quite the contrary; we understand that it is extremely necessary. But it empowers these professionals with the tools they lacked so that they can offer the best possible solutions”, concludes Carlos Sena.