the key to improve user satisfaction is to get the customer service to work efficiently
the key to improve conversion rate is to assign the best user to the best customer service
intelligent router
when the user calls in, he or she will have access to the corresponding seating according to voice navigation.
when the user consults online, the system will identify the user and assign he or she to the customer service intelligently.
user intelligent ranking
distribute according to the initiation sequence, first come first servedusers of key pages enjoys priority, importance comes first vip users enjoys priority, no queuing, no robot
intelligent distribution of customer service
support the frequent customer priority principle and assign them to the customer service of last reception match customer service according to user source channel, region, keyword search match customer service according to the launch page and the consulting entry distribute customers according to the workload of customer service develop customer service priority level based on user satisfaction and conversion rate
anytime, anywhere, miss no business opportunity
data driver, deeply hold user concerns
copy and embed a line of codes to integrate customer service function to app and
mobile website; scan qr code to connect wechat service number
cross-channel integration of the same user's interactive record according to time; a detailed record of the consultation effectiveness, purchase times, initiation channel, customer service, chat record, voice recording, satisfaction and quality inspection grading, etc
users can also receive message alerts when they are offline
customer service can receive new message alerts on the phone at any time
keywords fuzzy query, multi-condition combined accurate query, query by business node classification, query by consultation result : buy or not, query by interactive mode (telephone, online consultation, message)
low reliance on network environment, consult with 2g and message can be received
send messages incredibly fast with low power consumption
construct big data of user service
• rank the performance of all human customer service for checking users’ evaluation and satisfaction on customer service >
• refer to relevant data on customer service status, including the length of the login, online time, work time, departure time, and the full amount of work
• provide detailed query service, including consultation, order, duration of work, evaluation and quality inspection grading
• check consultation condition by user's consultation habit, operation terminal, regional inquiry
• check effective, ineffective consultations, access rate, quality of consultation and message counseling
• check users’ queuing data, including the number of entering the queue, entering a consultation, entering a message, the quitting number of queues, etc
• check data relevant to the order, including the number of effective consultations and the effective users
• collect calling or transfer data by calling channel, seating, time period, etc
• customized check of kpi and data analysis; create personalized reports based on raw data
• customized setting of consulting statistics, order statistics, message statistics, consulting quality, working hours, performance comparison
• fit your management needs in real sense