Faster, Smarter, More Precise, More Intuitive
Many companies are adopting and developing chatbots for efficient services, but they usually experience more trouble from wrong planning, hard maintenance, and lacking chatbot performances.
Xinapse’s chatbot adopts Hybrid Engine based on the inference-based system, description logic, and machine learning technology. Compared to the commonly used rule-based implementation methods, Xinapse's chatbot can quickly build more intelligent chatbots by identifying diverse customer requests and rich expressions with less cost and data. It provides dashboard and chatbot builder built on user-friendly UI which allows easy chatbot maintenance and update for those who do not have expertise in A.I. Also, by analyzing customer demands, it will find customers’ needs and can be used to develop new services.
More accurate needs-analysis based chatbot planning
Inference-based rules Description Logic Machine Learning
Easy chatbot operation and maintenance
Spend your time to get insight not news
Although the acquisition and sharing of valuable information are becoming more important, the method of surveying and analyzing data is unable to evolve from the old methods. As contents curation gained more attention, more news curation apps have been released. However, most of the apps focused on individual interests and displayed duplicate news while failing to move away from showing news based on simple keyword and a neat UI.
In contrast, Xinapse's News Curation is a service for experts which refines work-related news based on individual interests. By implementing machine learning, the service provides the most appropriate news by instantly reflecting personal feedback.
Increase application fitness to tasks by reflecting user feedback to news curation
Providing news based on individual team and division interests.
Applying to actual task by acquiring news data with public confidence
Intelligent Contact Center Solution
Text-based seamless contact center solution to improve customer experience
Customers may be satisfied with the quality of the customer service; however, they are unhappy with processes such as wait time for customer representatives. With the universalization of text-based communication methods, customers are very willing to communicate through different channels, but they still doubt the ability of chatbots.
Xinapse's intelligent contact center solution maximizes customer service experience by providing text-based customer service system that uses high level of natural language to solve the abandoned cases at any time of the year.
By systematically managing the conversation between customers and the representatives, the contact center can infer the meanings of the conversations to provide the most appropriate answers in timely manner which leads to alleviation of the tasks and efficient reduction of time and costs.
∙ Identify real-time customer conversation topics
∙ Provide suggested answer for customer representatives
∙ Analysis of wrong answer type and consultation area
∙ Real-time coaching through monitoring
Service quality and productivity enhancement
∙ Automatic creation/registration of a consultation classification system
∙ A classification system based real-time consultation type analysis
∙ Critical keyword detection
∙ Summary and registration of automated consultation
∙ Systematization of knowledge based on consultation contents
∙ Recognition of similar expressions
∙ Provide correct answer search
∙ Detecting contradictions due to the inflow of new knowledge
∙ Track knowledge changes as service changes
∙ VOC analysis based on customer consultation contents and service relation
∙ Check the quality of service and generate periodic reports on customer interests
∙ Visualization Control Chart to distinguish abnormal change points by functions and generate reports
Intelligent Groupware Solution
Chatbot based Single Interface for acquiring corporate information
Xinapse's intelligent groupware converts from the web-based corporation data collection method to chatbot-based system which predicts the users’ intentions to provide users with the enterprise. It can solve problems of the old systems that use a passive and inefficient method that the user has to find the source of the information,
It is an active solution that converts the existing company information collection method to a chatbot-based system which provides users with predicted information. Compared to the inefficient and passive system which the user has to find the location of the data, the groupware is a new method that can be used as a single interface to collect enterprise data. A company can increase the accessibility of information, create new value from heightened data sharing levels, and improve the efficiency of business process by implementing intelligent groupware salutation.
Chatbot-based single interface
∙ Chatbot for acquiring information
∙ The latest chatbot engine
∙ The user-centered chatbot management system
∙ Data Analysis based chatbot planning
Open source based search engine
∙ Xinapse Search Engine (X-Retrievers) based upon Elastic Search
∙ Data processing and formatting for Knowledge database development
∙ Improved ease of use of documents and knowledge
DL algorithm consulting
∙ Development and capitalization of optimal algorithms
∙ NLP processing-based chatbot algorithm
∙ Context-based user intent analysis
Pre-cognition of corporate failure
Unstructured data based fintech solution