Technological concepts for customer needs and wants satisfaction models refer to the use of technology to better understand, anticipate, and fulfill the needs and wants of customers. These concepts involve leveraging data, analytics, and digital tools to create personalized and seamless experiences for customers.
One key technological concept for customer needs and wants satisfaction models is customer relationship management (CRM) systems. CRM systems help businesses track and analyze customer interactions, preferences, and behaviors to tailor their products and services to meet individual customer needs. By using CRM systems, businesses can better understand their customers and provide more personalized and targeted offerings.
Another important technological concept is data analytics. Data analytics involves collecting and analyzing large amounts of data to gain insights into customer behavior and preferences. By using data analytics, businesses can identify trends, patterns, and opportunities to improve their products and services to better meet customer needs and wants.
Artificial intelligence (AI) and machine learning are also key technological concepts for customer needs and wants satisfaction models. AI and machine learning algorithms can help businesses automate and personalize customer interactions, predict customer behavior, and recommend products or services based on individual preferences.
Overall, technological concepts for customer needs and wants satisfaction models involve using technology to gather and analyze data, automate processes, and personalize interactions to create a more satisfying customer experience.
References:
1. Chaffey, D., & Ellis-Chadwick, F. (2019). Digital Marketing: Strategy, Implementation and Practice. Pearson.
2. Rigby, D. K., Reichheld, F. F., & Schefter, P. (2002). Avoid the four perils of CRM. Harvard Business Review, 80(2), 101-109.
3. Davenport, T. H., Harris, J., & Shapiro, J. (2010). Competing on analytics: The new science of winning. Harvard Business Press.