In today's highly competitive business environment, understanding customer needs, preferences and behavior is of paramount importance. Customer identification software is a digital solution for accurate customer identification and authentication used in various sectors such as banking, healthcare, and e-commerce. Big data, machine learning, and artificial intelligence technologies have greatly improved the customer identification process, allowing companies to improve personalization of services and products, and increase customer satisfaction. However, implementing AI for customer identification faces challenges related to protecting data privacy, training staff, and selecting the right AI tools. In the future, deep learning, neural networks and the Internet of Things may provide new opportunities for customer identification, providing higher levels of security and privacy. However, there is a need to comply with privacy legislation and ensure an ethical approach to the use of AI in customer identification.

Keywords: software, customer identification, traditional methods, machine learning, artificial intelligence, evolution of identification software, future trends