The application of Artificial Intelligence (AI) in business has become a recurring theme in the business world in recent times. This is because the technology has been used not only by large companies, but also by small and medium-sized enterprises.
If before this topic was considered too futuristic or too far from our reality and was only part of the reality of fiction movies and scientists' theories, today its use represents a great differential, mainly for businesses that aim at growth.
Since companies have realized the need to adopt digital transformation in their businesses, the search for new AI technologies and applications has grown considerably. According to Mckinsey's global survey, 8 out of 10 companies are directing their efforts to adopt digital transformation in their businesses.
We can consider that this growing demand is due to the fact that AI for business is so integrated into our daily lives that, most of the time, we are not aware of it.
If you have ever contacted a company to ask questions about a product or service and you have done it through a Chatbot, know that this is one of the many services that use AI. In this case, artificial intelligence is applied to customer service. Another example is facial recognition technology, widely used by digital banking applications.
AI has gained more and more space in people's lives and in companies, becoming essential for business management, customer loyalty, process automation, market monitoring and strategy definition.
It is important to highlight that, regardless of the size or segment of the company, it is possible to use artificial intelligence solutions in a more competitive way.
1. Automation
Considering that automation is the act of replacing a recurring and standard human activity by a technological tool, the use of AI in business can be applied in different ways, such as: Analytic Process Automation, Machine Learning, RPA (Robotic Process Automation) and others.
2. Personalization
This process is closely linked to providing a better customer experience and satisfaction, mainly because it generates greater loyalty and engagement, as well as a personalized treatment that adapts to the needs of each customer.
3. Forecasting
Through predictive models, it is possible to study large volumes of data, insights and statistics, in order to predict future activities to size the necessary resources. With this type of technology it is possible to: estimate sales volumes, project inventory volumes, create personalized marketing campaigns for specific audiences, among other possibilities.
In summary, it is important to emphasize that changes are already happening. In this sense, companies that want to stand out in the market cannot remain on the sidelines of the new trends in the application of Artificial Intelligence in business.
If in your company, are you evaluating how to start a strategy to take advantage of AI? Contact us, at Keyrus we are consultants specialized in Data Intelligence, Digital Transformation, E-Commerce digital platforms, Marketing and Customer Experience.