Project Background

As a leading global B2B e-commerce platform, Alibaba International Station is committed to providing efficient and convenient cross-border trade services to small and medium-sized enterprises worldwide, helping buyers and sellers achieve accurate matching and business growth.

Customer Pain Points

  • International customers are widely distributed, and business practices and language preferences in different regions can affect communication effectiveness. Some companies have long decision-making processes, requiring liaisons across multiple departments, making a single phone call difficult to push decision-making.

Solution

  • Voicebots enable marketing innovation and performance growth.
  • • Instadesk intelligent outbound call solution and marketing automation effectively address multilingual communication barriers, high labor costs, and low efficiency, significantly improving outbound call conversion rates and customer experience, effectively increasing B-side customer onboarding conversion rates, and promoting the development of Alibaba International Station's global merchant ecosystem.
     
    • covering countries such as the United States, Vietnam, South Korea, Indonesia, Italy, and the United Kingdom. Calls to Malaysia, the Philippines, India, and Bangladesh are planned for the future.
     
    • Using Alibaba Outbound, we verified that the maximum concurrent call capacity in our overseas Singapore environment can reach 500, and the system's zero-call has been successfully implemented.
  • AI Fusion Innovation
  • • Based on NLP technology, the bot supports mainstream languages such as English, Korean, Vietnamese, and Indonesian.
     
    • Cloning real-person voices with a small sample size enhances user friendliness and trust.

Project Value

  • Analyzes recordings, identifies high-quality answers and bad cases, and continuously optimizes the model.

  • • Reduces labor costs by over 70%

  • • Accurately identifies voicemails and proactively disconnects, reducing line costs

  • Customer Pain Points
  • Solution
  • Project Value
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