AI-Driven Precise After-Sales Service Solution

Aiming at the pain points of mobile accessory after-sales consulting, such as concentrated model adaptation, vague fault definition, and delayed response, an AI-driven precise after-sales service system is constructed. The core is to build an AI intelligent customer service platform with a built-in “device model-accessory adaptation” intelligent engine. Users can quickly obtain recommended compatible cases, screen protectors, chargers and other accessories by entering the model or uploading mobile phone screenshots, with an adaptation accuracy rate of over 94%. Establish a standardized fault handling database covering high-frequency faults such as charger fast charging failure, data cable poor contact, battery life degradation, and tempered glass breakage. After users describe fault symptoms, the system can automatically push step-by-step troubleshooting tutorials (in the form of pictures and texts + short videos) and clarify the definition standards of quality problems and improper use, which can reduce invalid after-sales disputes by 57%. Realize 7×24-hour full-time response of AI customer service, covering non-working hours of manual customer service, and the solution rate of after-sales consulting at night is increased to over 89%. At the same time, build an after-sales data precipitation system to synchronize high-frequency problems and fault feedback in after-sales consulting to the product R&D department, providing data support for product optimization. This solution can increase the enterprise’s after-sales satisfaction rate to over 85%, improve customer retention rate by 42%, and build a brand reputation barrier through high-quality after-sales service.