{"id":20787,"date":"2024-04-12T10:02:31","date_gmt":"2024-04-12T08:02:31","guid":{"rendered":"https:\/\/dossetenta.com\/customers-machinery-business-adaptation-to-the-future\/"},"modified":"2024-04-12T10:02:31","modified_gmt":"2024-04-12T08:02:31","slug":"customers-machinery-business-adaptation-to-the-future","status":"publish","type":"post","link":"https:\/\/dossetenta.com\/en\/customers-machinery-business-adaptation-to-the-future\/","title":{"rendered":"Machine Customers: Business adaptation to the consumers of the future"},"content":{"rendered":"Tiempo de lectura:<\/span> 3<\/span> minutos<\/span><\/span>

Digital transformation has gone beyond what we once imagined; we are entering the era of ‘machine customers.’ A futuristic vision that promises to redefine the interaction between technology and commerce as we know it. At the heart of this radical change lies the pioneering work of Don Scheibenreif and Mark Raskino, \u201cWhen Machines Become Customers,\u201d which not only captures our imagination but also challenges our traditional understanding of markets and the economy.<\/span><\/p>\n

This term, coined by visionaries Don Scheibenreif and Mark Raskino in their influential work \u201cWhen Machines Become Customers,\u201d describes a phenomenon where machines, powered by artificial intelligence and machine learning, make purchasing decisions and conduct transactions without human intervention. Scheibenreif and Raskino predict that by 2030, up to a staggering 20% of business revenue will come from these autonomous entities. This not only redefines who the customer is but also how companies should structure their marketing and sales strategies. Read on to learn what a machine customer is and how it will impact businesses in the future.<\/span><\/p>\n

What are Machine Customers?\u00a0<\/span><\/h2>\n

Machine Customers represent a new paradigm in the e-commerce ecosystem. These digital entities, which operate autonomously, are intelligent systems capable of making transactions and purchasing decisions without direct human involvement. They function through sophisticated algorithms and <\/span>artificial intelligence<\/span><\/a> software, processing large amounts of data to execute purchase actions based on programmed logic and efficiency.<\/span><\/p>\n

Characteristics of Machine Customers<\/span><\/h2>\n

Machine customers are characterized by their objectivity and lack of impulsiveness. Their decision-making process is data-driven and efficiency-oriented, which implies a shift in the approach to customer experience and service personalization. The trend toward sales automation and programming is accelerating, and companies that want to thrive must adapt quickly. Here are some distinctive characteristics of these non-human customers:<\/span><\/p>\n

1. Objectivity in Decision-Making<\/span><\/h3>\n

Machine customers are not influenced by emotions or impulses. Their decisions are based on data analysis, efficiency, and logic, making them predictably objective in their choices.<\/span><\/p>\n

2. Lack of Impulsiveness<\/span><\/h3>\n

Unlike humans, these customers lack impulsiveness. They are not subject to impulse buying or influenced by emotionally charged marketing strategies.<\/span><\/p>\n

3. Data-Driven Decision Process<\/span><\/h3>\n

They use large volumes of information and data analysis to make decisions. This includes real-time price comparisons, product quality assessments, and analysis of specific needs.<\/span><\/p>\n

4. Efficiency-Oriented<\/span><\/h3>\n

They prioritize efficiency both in the purchasing process and in the use of the acquired product or service. This may mean a preference for automated digital solutions or products that maximize operational efficiency.<\/span><\/p>\n

5. Adaptability and Learning<\/span><\/h3>\n

Equipped with machine learning capabilities, machine customers can adapt their purchasing patterns based on new information or market changes, requiring companies to be equally agile and adaptable.<\/span><\/p>\n

Impact of Machine Customers<\/span><\/h2>\n

These systems, which operate independently of human intervention, are characterized by their ability to execute purchases and make decisions based solely on algorithmic logic and predefined criteria. Their importance lies in several key capabilities:<\/span><\/p>\n