Service Cloud
Intelligent Customer Service, Driving Continuous Growth
Connect the entire chain of 'Consultation access → Problem handling → After-sales follow-up → Satisfaction feedback', use data to drive service efficiency improvement and experience optimization
Trusted by Numerous Teams

New Engine for Intelligent Service, Growth Pole for Customer Value

Omni-channel access + Intelligent work order efficiency, quickly respond to needs, optimize experience, promote service from cost center to value center

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Data Foundation

CRM full-lifecycle data (consumption, service tickets, membership, demand preferences)

Core Capabilities

Final Value

Deconstruction of the entire service process: Anchor pain points・Match scenarios・Deliver value
Resolve pain points: dispersed channels, fragmented messages, cross-platform response issues

Omni-channel Integration: Unified access to channels such as phone, Enterprise WeChat, APP online customer service, official website forms, email, etc. Wherever the customer consults, customer service can respond from the same backend.

Message Synchronization: When a customer switches from 'APP consultation' to 'phone communication', the customer service can directly see the previous conversation records without making the customer 'repeat the problem'.

Intelligent Routing: Automatically assigns dedicated customer service based on 'customer membership level (e.g., VIP customers priority), problem type (e.g., 'order problem' assigned to order customer service)', reducing customer waiting time.

Address: cross-departmental complex issues, lack of unified tracking, buck-passing & overdue problems

Work Order Creation: Create a work order after customer consultation, synchronize CRM customer information (e.g., 'product model purchased by customer, order number').

Intelligent Work Order Flow: Supports 'cross-department collaboration', and sets 'timeout reminders' (e.g., 'work order not processed for 24 hours, automatically reminds supervisor').

Visual work order status: real-time tracking (pending/in progress/resolved) + customer progress query.

Solve the pain point: 'No follow-up after customer problem is resolved, easy to churn, service experience'

Automatic Follow-up Reminders: After the customer problem is resolved, the system automatically triggers 'satisfaction survey', 'after-sales care'.

Demand Mining: Automatically synchronizes customer needs found during after-sales follow-up to CRM, and generates 'potential opportunities', pushes sales team to follow up, achieving 'service to sales' conversion.

Solve the pain point: 'Service quality cannot be quantified, root cause of problems cannot be found, unable to continuously optimize'

Multi-dimensional Service Reports: Automatically generate 'Customer Service Efficiency Report', 'Customer Satisfaction Report', 'Problem Classification Report'.

Service SOP Optimization: Iterate service processes based on data feedback.