Easyliao

About Easyliao

Beijing Easyliao Technology Co., Ltd., established in 2014, operates as an AI-powered service provider specializing in online customer acquisition. The company was co-founded by individuals with deep-seated experience in relevant sectors. COO Zhang Wei's background in the medical industry revealed significant inefficiencies in traditional customer service, such as high staff turnover and training overhead, which sparked the initial concept. CTO Bing Lixin brought over a decade of IM system development experience, having previously founded a successful online customer service software company in 2006, the precursor to Easyliao's core product. This convergence of industry insight and technical expertise shaped the company's direction.

Easyliao's core business revolves around a SaaS-based AI customer service platform designed to enhance the 'traffic-to-conversion' pipeline for its clients. The company primarily targets industries with a clear need for lead generation and conversion, such as education, healthcare, medical aesthetics, finance, and home furnishing. Its revenue model is based on subscriptions and a pay-per-conversation structure, which offers flexibility to small and medium-sized enterprises. Since its pivot to AI in 2018, the company reports that over 95% of its revenue is generated from its AI robot products.

The company's product suite includes an AI Customer Service Robot, a Smart CRM system, and a Cloud Call Center. The flagship offering is the 'Each Bot' AI robot, which focuses on the pre-sales customer acquisition scenario. This system uses Natural Language Processing (NLP) and machine learning to engage potential customers in multi-turn conversations, aiming to understand intent and guide the dialogue towards a conversion, such as securing contact information. The platform operates 24/7, addressing the issue of lead loss during off-hours or holidays. A key feature is its human-machine collaboration model, where the AI can handle high volumes of initial inquiries and escalate more complex conversations to human agents, thereby increasing overall efficiency by over 50%. The platform is designed for rapid deployment, with industry-specific models that can be set up within a day.