Multi-channel access
              Users can find the online customer service entrance in a prominent
                position on the official website of the GeniZenith platform and the mobile application. The online
                customer service team is composed of professional cryptocurrency experts and customer service personnel,
                providing 7×24 hours of uninterrupted service. Through the online chat window, users can consult in real
                time about various issues such as trading operations, account management, market conditions, etc. For
                example, when users are confused about the choice of trading pairs when conducting currency
                transactions, or do not understand the setting of leverage multiples in contract transactions, they can
                immediately communicate with the online customer service. The customer service staff will provide users
                with detailed answers in plain language based on their professional knowledge and rich experience, and
                guide users to complete relevant operations.
              GeniZenith has also set up a dedicated customer service hotline,
                and the number is displayed in many places on the platform. When users encounter urgent problems or
                prefer to communicate by phone, they can call the customer service hotline. After receiving the call,
                the customer service team will respond quickly, understand the user's problem according to the
                standardized process, and provide accurate solutions. For some important issues involving account
                security, abnormal funds, etc., telephone communication can allow users to more intuitively feel the
                platform's attention and processing efficiency.
              In addition, users can also send emails to designated mailboxes to
                report complex issues or make suggestions. The platform will assign a dedicated person to handle the
                emails and reply to users within the specified time. For some issues that require detailed text
                descriptions or attachments, such as technical failure screenshots, transaction record inquiries, etc.,
                the email feedback system can better meet user needs and also facilitate users to keep communication
                records.
              
              Intelligent service tools
              GeniZenith uses natural language processing (NLP) and artificial
                intelligence technology to deploy an intelligent customer service robot on the platform. It can quickly
                understand user questions, retrieve answers from a huge knowledge base, and provide users with instant
                answers. For common questions such as platform registration procedures, fiat currency transaction fee
                standards, and deposit interest business rules, the intelligent customer service robot can give accurate
                responses in an instant. For some complex questions, the intelligent customer service robot will guide
                users to further clarify the key points of the problem, or transfer to manual customer service for
                processing.
              
              A self-service section is set up in the platform user center,
                providing a wealth of self-service functions. Users can check account balances, transaction records,
                order status and other information here. At the same time, account settings can also be performed, such
                as changing passwords, binding or unbinding bank cards, adjusting notification methods, and other
                operations. For example, if a user wants to view all contract transaction records in the past month, he
                only needs to set the time range in the transaction record query module of the self-service center to
                quickly obtain detailed records without waiting for manual customer service assistance, which greatly
                improves service efficiency.
              
              Personalized service and feedback mechanism
              
                
                  GeniZenith analyzes user trading behaviors, investment preferences, consulting history and other data
                  to provide users with personalized service recommendations. For example, for users who frequently
                  participate in contract transactions, the system will push the latest contract transaction strategy
                  analysis, risk warnings and related training courses; for users who prefer to deposit coins to earn
                  interest, the system will recommend different currency deposit interest rate dynamics and optimization
                  plans. This kind of personalized service recommendation allows users to more conveniently obtain
                  information related to their own needs and improve user experience.
                
               
              GeniZenith attaches great importance to user feedback and
                complaints, and has set up a special feedback channel. Users can submit their opinions and suggestions
                on the platform services through online questionnaires, suggestion boxes, etc. For user complaints, the
                platform has established a strict processing process to ensure that each complaint can be followed up
                and properly resolved in a timely manner. The complaint handling team will contact the user as soon as
                possible to understand the specific situation, formulate a solution, and feedback the progress and
                results of the processing to the user. For example, if a user complains that a system failure occurs
                during the subscription process of the new currency, resulting in a subscription failure, the complaint
                handling team will immediately verify the situation, coordinate with the technical department to solve
                the problem, and reasonably compensate the user according to the actual situation, and promptly feedback
                the processing results to the user until the user is satisfied.