Baidu Online Network Technology Beijing ᱨᱮᱱᱟᱜ Aifanfan IM ᱠᱟᱥᱴᱚᱢᱟᱨ ᱥᱚᱨᱵᱷᱤᱥ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ ᱡᱟᱱᱠᱟᱨᱤ ᱯᱨᱟᱭᱩᱠᱛᱤ ᱯᱨᱚᱛᱤᱡᱚᱜᱤᱛᱟ ᱵᱷᱟᱜ ᱨᱮ 2023 A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱨᱮᱱᱟᱜ ᱟᱹᱰᱤ ᱢᱟᱱ ᱟᱠᱟᱱ ᱡᱤᱛᱠᱟᱨ ᱠᱟᱱᱟ᱾
ᱞᱚᱦᱟᱡᱟᱱᱠᱟᱨᱤ ᱯᱨᱟᱭᱩᱠᱛᱤ· 2023
Aifanfan IM ᱠᱟᱥᱴᱚᱢᱟᱨ ᱥᱚᱨᱵᱷᱤᱥ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ
Baidu Online Network Technology Beijing ᱞᱮᱠᱟᱛᱮ
ᱜᱟᱦᱟᱠ: Baidu Online Network Technology. Beijing
ᱡᱟᱱᱠᱟᱨᱤ ᱯᱨᱟᱭᱩᱠᱛᱤ ᱵᱷᱟᱜ ᱨᱮ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱡᱤᱛᱠᱟᱨ
ᱡᱟᱸᱪ ᱟᱠᱟᱱ ᱮᱣᱟᱨᱰ ᱡᱤᱛᱠᱟᱨ
#144072 ᱞᱟᱜᱤᱫ ᱮᱣᱟᱨᱰ ᱦᱟᱞᱚᱛ ᱡᱟᱸᱪᱰᱤᱡᱟᱭᱤᱱ
Aifanfan IM ᱠᱟᱥᱴᱚᱢᱟᱨ ᱥᱚᱨᱵᱷᱤᱥ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱵᱟᱵᱚᱛ ᱛᱮ
Aifanfan IM ᱮᱠᱟ ᱥᱮᱭᱟᱱᱟ ᱠᱟᱥᱴᱚᱢᱟᱨ ᱥᱚᱨᱵᱷᱤᱥ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱠᱟᱱᱟ ᱡᱟᱦᱟᱸ ᱚᱱᱞᱟᱭᱤᱱ ᱟᱯᱷᱴᱚᱨ-ᱥᱮᱞ ᱥᱟᱯᱚᱴ ᱞᱟᱹᱜᱤᱛ ᱵᱮᱱᱟᱣ ᱠᱟᱱᱟ ᱾ ᱱᱚᱶᱟ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱴᱷᱮᱸ ᱤᱱᱯᱩᱴ ᱥᱟᱦᱟᱭᱛᱟ, ᱯᱨᱚᱥᱮᱥ ᱚᱯᱴᱤᱢᱟᱭᱤᱡᱮᱥᱚᱱ, ᱟᱨ ᱮᱠᱟ AI ᱥᱟᱦᱟᱭᱤᱭᱟᱹ ᱮᱢᱚᱜᱼᱟᱭ ᱡᱟᱦᱟᱸᱴᱮᱸ ᱥᱚᱨᱵᱷᱤᱥ ᱮᱡᱮᱸᱴ ᱟᱨ ᱠᱟᱥᱴᱚᱢᱟᱨ ᱠᱷᱚᱱ ᱵᱟᱨᱮ-ᱨᱟᱹᱥᱛᱟ ᱠᱟᱛᱷᱟ ᱵᱟᱛᱟᱣ ᱠᱚ ᱥᱚᱡᱦᱟᱭ ᱦᱩᱭ ᱦᱩᱭᱩᱜ ᱠᱟᱱᱟ ᱾ ᱵᱟᱦᱨᱮ-ᱢᱚᱰᱟᱞ ᱤᱱᱯᱩᱴ, ᱡᱟᱦᱟᱸᱨᱮ ᱠᱮᱢᱮᱨᱟ ᱟᱨ ᱟᱰ ᱢᱮᱱᱟᱜ ᱟᱭ, ᱟᱭᱩᱨ ᱨᱮᱭᱟᱜ ᱯᱟᱹᱨᱥᱤ ᱟᱨ ᱰᱟᱭᱟᱞᱮᱠᱴ ᱠᱚ ᱪᱤᱱᱦᱟᱹ ᱮᱫᱟᱭ ᱡᱟᱦᱟᱸ ᱛᱮ ᱤᱱᱯᱩᱴ ᱨᱮᱭᱟᱜ ᱛᱷᱨᱮᱥᱦᱚᱞᱰ ᱠᱚᱢ ᱦᱩᱭ ᱠᱟᱱᱟ ᱾ AI ᱥᱟᱦᱟᱭᱤᱭᱟᱹ ᱰᱟᱭᱮᱞᱚᱜ ᱴᱮᱠᱥᱴ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱟᱛᱢᱚᱠ ᱴᱷᱟᱨ ᱠᱚ ᱨᱤᱭᱮᱞ-ᱴᱟᱭᱢ ᱨᱮ ᱟᱱᱟᱞᱟᱭᱤᱡᱮ ᱮᱫᱟᱭ ᱟᱨ ᱯᱩᱭᱞᱩ ᱡᱟᱣᱟᱵᱽ ᱠᱚᱱᱴᱮᱸᱴ ᱨᱮᱠᱚᱢᱮᱸᱰ ᱮᱫᱟᱭ ᱾ ᱥᱯᱤᱪ ᱨᱮᱠᱚᱜᱱᱤᱥᱚᱱ, ᱤᱢᱮᱡ ᱨᱮᱠᱚᱜᱱᱤᱥᱚᱱ, ᱟᱨ ᱱᱮᱪᱟᱨᱟᱞ ᱞᱮᱸᱜᱣᱮᱡ ᱯᱨᱚᱥᱮᱥᱤᱸ ᱵᱮᱵᱚᱦᱟᱨ ᱦᱩᱭ ᱠᱟᱱᱟ ᱾
ᱢᱟᱱᱟᱱ
A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱵᱟᱵᱚᱛ ᱛᱮ
Aifanfan IM ᱠᱟᱥᱴᱚᱢᱟᱨ ᱥᱚᱨᱵᱷᱤᱥ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ A' Design Award ᱞᱚᱦᱟ ᱯᱩᱨᱚᱥᱠᱟᱨ ᱧᱟᱢ ᱟᱠᱟᱱᱟ, ᱱᱚᱶᱟ ᱫᱚ ᱵᱷᱟᱞᱟᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱞᱟᱹᱜᱤᱫ ᱮᱢ ᱟᱠᱟᱱ ᱥᱚᱢᱟᱱ ᱠᱟᱱᱟ᱾ ᱱᱚᱶᱟ ᱠᱚ ᱫᱚ ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱠᱚ ᱨᱮᱭᱟᱜ ᱵᱷᱟᱵᱱᱟ ᱟᱨ ᱵᱷᱟᱞᱟᱭ ᱠᱟᱢᱤ ᱡᱷᱟᱞᱠᱟᱣ ᱠᱚ᱾ Aifanfan IM ᱠᱟᱥᱴᱚᱢᱟᱨ ᱥᱚᱨᱵᱷᱤᱥ ᱮᱯᱞᱤᱠᱮᱥᱚᱱ ᱫᱚ ᱠᱚᱞᱟ, ᱣᱤᱜᱭᱟᱱ, ᱰᱤᱡᱟᱭᱤᱱ ᱟᱨ ᱴᱮᱠᱱᱚᱞᱚᱡᱤ ᱨᱮᱭᱟᱜ ᱥᱤᱢᱟ ᱵᱟᱲᱦᱟᱣ ᱟᱨ ᱫᱩᱱᱤᱭᱟ ᱵᱷᱟᱞᱟᱭ ᱞᱟᱹᱜᱤᱫ ᱜᱚᱲᱚ ᱮᱢ ᱠᱟᱱᱟ᱾
ᱰᱤᱡᱟᱭᱤᱱ ᱯᱤᱪᱷᱟ ᱨᱮ
ᱯᱨᱮᱥ ᱠᱤᱴ
ᱰᱤᱡᱟᱭᱤᱱᱟᱨ ᱧᱮᱞ ᱠᱷᱚᱱ ᱠᱨᱮᱰᱤᱴ, ᱴᱤᱢ ᱥᱫᱚᱥᱭ ᱟᱨ ᱴᱮᱠᱱᱤᱠᱮᱞ ᱵᱤᱵᱚᱨᱚᱬ ᱮᱢ ᱟᱠᱟᱱᱟ᱾
- ᱟᱞᱜᱟ ᱜᱩᱱ ᱠᱚ
- A smart customer service system with a series of optimization tools for customer service and consumers, such as input assistance, process optimization, and AI assistant, aiming to simplify the two-way communication process of both ends, provides more reliable security and protection, and supports multi-device and multi-scenario input switching, making the communication process easier and more convenient.
- ᱴᱮᱜ ᱠᱚ
- Customer service system, Program, Online customer service, After-sales service, AI technology
- ᱛᱮᱭᱟᱨ ᱛᱮᱠᱱᱚᱞᱚᱡᱤ
- It uses the leading AI technologies of Baidu, such as speech recognition, image recognition, and natural language processing.
- ᱰᱤᱡᱟᱭᱱ ᱪᱮᱞᱮᱧ
- The challenge in this project research is to optimize the two-end process. In the design process, it is necessary to balance the two-way needs of customer service and users, so that the process optimization of one end does not impose burden on the other. Therefore, the application is developed based on the pain points of users and customer service through various investigation methods.
- ᱜᱚᱵᱮᱥᱚᱱᱟ
- The application is developed through conducting questionnaire survey by the design team based on a multi software customer service system, collecting objective problems with the current intelligent customer service system, and analyzing user sentiment, usage scenarios and current design trends.
- ᱯᱨᱮᱨᱚᱱᱟ
- As online service platforms develop, the growth of online customer service has been achieved. However, due to the digitalization, many users who are not familiar with smart devices face problems in online communication, making it hard to obtain good after sales service. The complex flow of data and information and text descriptions cause problems to customer service. The application aims to meet the needs of both ends, lower the threshold, and improve service efficiency and user satisfaction.
- ᱯᱨᱚᱡᱮᱠᱴ ᱥᱚᱢᱚᱭ
- The project was designed and developed in Beijing in April 2021 and went live in China in October 2021
- ᱠᱟᱹᱢᱤ ᱦᱚᱨ
- Multi modal input methods, including camera and voice input, can recognize foreign languages and dialects to lower the input threshold. Users can search for corresponding keywords or key words through communication aids to better understand the meaning of sentences while talking. The equipped AI assistant can analyze the emotional factors in the dialogue text in real time, generate response statements, and recommend quick response content to users.
- ᱴᱤᱢ ᱥᱮᱫᱟᱭ ᱠᱚ
- Yuan Lu
Fengyang Wang
Yujie Shi
Yi Liao
Nuo Xu
Liying Li
Li Liu
Xue Luan
Tian Xie
Lu Gan
Yanyan Wei
Jingjing Luo
ᱥᱯᱚᱱᱥᱚᱨᱰ
Designers.org ᱠᱷᱚᱱ ᱯᱟᱨᱚᱢ ᱛᱟᱞᱟᱥ
ᱟᱞᱮᱭᱟᱜ ᱵᱤᱜᱽᱭᱟᱯᱚᱱ ᱥᱟᱹᱜᱟᱹᱭ ᱠᱚ ᱠᱷᱚᱱ ᱯᱨᱚᱰᱟᱠᱴ, ᱥᱮᱵᱟ ᱟᱨ ᱢᱚᱠᱟ ᱩᱫᱩᱜ ᱢᱮ᱾
ᱟᱨᱦᱚᱸ ᱠᱷᱚᱡ ᱢᱮ
ᱥᱟᱹᱜᱟᱹᱭ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ
ᱢᱤᱫ ᱞᱮᱠᱟ ᱠᱮᱴᱮᱜᱚᱨᱤ ᱠᱷᱚᱱ ᱟᱨᱦᱚᱸ ᱯᱩᱨᱥᱠᱟᱨ ᱧᱟᱢᱟᱠᱟᱱ ᱰᱤᱡᱟᱭᱤᱱ ᱠᱚ ᱧᱮᱞ ᱢᱮ, ᱡᱚᱜᱭᱟᱛᱟ ᱧᱮᱞ ᱛᱮ ᱵᱟᱪᱷᱟᱣ ᱟᱠᱟᱱᱟ᱾
