Independent Problem-solving
24/7 Online Service
10 years + official corpus accumulation
40 + industries data connecting
28 million greeting corpora
Sales & Marketing
10 years + official corpus accumulation
40 + industries data connecting
28 million greeting corpora
Auto-match knowledge base
Faster and more standard responses
Help agent when needed
Convenient addition with batch import
Deep learning and automatically update
Intelligent optimization
Analyze customer behavior data (browsing
track, historical orders, chat records, identity
information, etc.)
Intelligently predict based on customer
portrait, industry knowledge and semantic
analysis
Accurate key information identification and
extraction; contextual logic understanding;
industry knowledge mapping skills
Extraction for actual intent understanding;
proactive step-by-step questioning
Providing query feedback, information
collection and marketing recommendation
based on customer identity
Complete tasks across scenarios and
provide targeted solutions according to
business needs
Assign chatbots according to the actual scenarios
Assign chatbots to different visitors for targeted services
Organize in a better manner with lower maintenance costs
Easier data migration when interoperability needed
Sobot customer service system supports multi-channel access, including desktop website, mobile website, APP, Email, WhatsApp, Instagram, Twitter, Facebook, SMS etc.
Sobot chatbot has a built-in 27+ million pleasantries corpora and is docked with multiple public interfaces like weather, express delivery and air quality inquiries.
Chatbot communicates with customers in a step-by-step language interaction, finding the actual needs by actively asking questions and extracting key information, completing business task.
Based on customer portraits, industry knowledge and semantic analysis, the chatbot can understand the customer's intent, providing support for subsequent session interactions.
In addition to Q&As based on knowledge base, the customer service chatbot can get information from system interfaces, like express, flight, inventory and other information query functions.
Enterprises can organize existing knowledge entries into the Excel template provided by the customer service system and easily realize one-click batch import.
Enterprises can configure the FAQ guide according to their needs, and provide the corresponding question guide directly when users visit, and get the answer by clicking.
In response to a visitor's question, chatbot will not only reply to the visitor with the answer to the question, but also push the related questions for the visitor.
For questions that do not have exact answers, companies can configure them based on some clues, and chatbot can learn intelligently to answer such questions with no fixed answers.
Chatbot will analyze the user's question and match the best alternative answer as assistance of agent, which increases the reception capacity by 85%.
An enterprise can configure different chatbots for different businesses and channels, each with its own independent knowledge base, and the chats are automatically answered.
After a new chat is established, the chat history will synchronize, helping the chatbot and agent to better locate the user's problem.
Enterprises can decide the priority of arranging agent or chatbot for reception according to their business scenarios.
The answers to user questions and the summary of hot questions answered by chatbot can be viewed, so enterprises can pinpoint top questions users care about.
Agent can check the number of top hits for business questions in the statistics, and better adjust customer service work strategies and marketing campaigns.
Chatbot can be set to automatically optimize the knowledge base at a specific time, greatly saving the cost of agent maintenance.