In this article, we explore specific examples of how artificial intelligence (AI) and machine learning (ML) are applied in the software of companies across various industries.
Artificial Intelligence (AI) and Machine Learning (ML) are becoming key elements in the digital transformation of businesses today. These technologies are radically changing the way business is conducted, opening new horizons for innovation and growth, and enabling companies to automate processes efficiently.
The adoption of innovations and the rethinking of traditional business approaches is no longer just a fashionable trend, but a real necessity, determining the survival and success of businesses in the long term. We are receiving an increasing number of requests for the development of new digital solutions based on AI/ML.
Automation and Process Optimization. The German retailer Otto employs artificial intelligence and machine learning for analyzing customer purchases and behavior. As a result, it has managed to reduce product returns by 2 million items per year and optimize inventory by predicting demand with up to 90% accuracy.
The Japanese company Fanuc, which specializes in industrial robot manufacturing, uses AI and ML technologies to optimize internal processes. This has enabled it to reduce the equipment setup time from several weeks to just one day, as well as to increase production efficiency.
Personalization of Products and Services. The Spanish banking group BBVA uses artificial intelligence to create personalized financial products for its clients. Using AI, the business analyzes data on client behavior and even provides financial management recommendations.
L'Oreal, a leader in the beauty industry, utilizes AI to create personalized cosmetic products. Through machine learning algorithms, the company analyzes each client's skin needs, offering products that best suit their individual characteristics.
Enhancing Customer Service Quality. The British company Ocado, specializing in online retail, uses artificial intelligence to optimize logistics and order processing. Machine learning-based systems enable it to process thousands of orders daily.
The Australian airline Qantas employs AI capabilities to analyze weather patterns and optimize flight routes. This not only improves the safety and punctuality of flights but also reduces fuel expenses, leading to lower overall costs and making the company's operations more environmentally friendly.
Artificial Intelligence and Machine Learning are not just technologies of the future. They have long become a reality, changing business principles for years: from retail to manufacturing, from financial services to aviation, from healthcare to the modern information industry, and beyond.
AI/ML technologies provide companies with opportunities for process optimization, product and service personalization, and enhanced customer service quality. Companies that focus on them during their digital transformation are at the forefront of the modern business landscape.