Overview User companies can conduct marketing activity that quickly and flexibly responds to individuals’ preferences by using KIBIT to analyze the ever-growing body of text data posted by consumers on buzz marketing sites, blogs and social media.
KIBIT learns consumers’ preferences based on their selection of favorite products and articles and selects and recommends suitable products and services after sifting through a huge volume of data, thereby providing better satisfaction to users. Moreover, if KIBIT is allowed to learn from the knowledge of business experts, it will help operators of recommendation sites, blog sites and e-commerce sites to make more effective use of data.
Analyzing and utilizing the voice of the customer (VOC)
KIBIT can be used to analyze the voice of the customer, including inquiries received by the customer support division, product review comments and other customer feedback. When loaded with sample data concerning customer feedback classified by type, such as suggestions for product improvement, new product development and complaints, KIBIT automatically sorts customer feedback according to the classification. KIBIT can classify customer feedback that is too complicated to be classified by conventional AI technology ― such as comments expressing admiration for a brand while voicing dissatisfaction with the quality of a specific product or service ― as it sorts information based on its understanding of context. KIBIT can also be used to improve the efficiency of response to inquiries at call centers and to check the performance of call center staff.
KIBIT reviews user comments posted on Internet sites, including buzz marketing sites and e-commerce sites, eliminating the need for consumers to use their own eyes, and provides information suited to individual consumers. As KIBIT can identify individual consumers’ preferences and interests, it can recommend products and services that match their needs with high accuracy across a variety of categories, a feat that would be impossible through conventional data analysis that focuses on review ratings and purchasing and other behavior patterns.
Services and Products
Based on the tacit knowledge learned from customers, KIBIT analyzes communications and supports you in creating business opportunities and avoiding risk.
KENKO JIMAN publishes a wide range of healthcare news from food, beauty to medicine. Registered users can let KIBIT AI know your favorite news, then KIBIT will learn your preference and make a recommendation list for you.