Aifanfan IM ग्राहक सेवा अनुप्रयोग by Baidu Online Network Technology Beijing is a highly esteemed winner of the very prestigious 2023 A' Design Award लोह पुरस्कार in माहिती तंत्रज्ञान डिझाइन Competition Category.
लोहमाहिती तंत्रज्ञान· 2023
Aifanfan IM ग्राहक सेवा अनुप्रयोग
by Baidu Online Network Technology Beijing
Client: Baidu Online Network Technology. Beijing
A' Design Award लोह पुरस्कार Winner in माहिती तंत्रज्ञान Category
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The Design
About Aifanfan IM ग्राहक सेवा अनुप्रयोग
Aifanfan IM हा ऑनलाइन विक्रीपश्चात सहाय्यासाठी एक स्मार्ट ग्राहक सेवा अनुप्रयोग आहे. हा अनुप्रयोग सेवा प्रतिनिधी आणि ग्राहक यांच्यातील द्विमार्गी संवाद सुलभ करण्यासाठी इनपुट सहाय्य, प्रक्रिया अनुकूलन आणि एक AI सहाय्यक प्रदान करतो. कॅमेरा आणि आवाज यांसह बहुविध पद्धतीचे इनपुट, परदेशी भाषा आणि बोलीभाषा ओळखून इनपुटचा उंबरठा कमी करते. AI सहाय्यक संवादाच्या मजकुरातील भावनिक घटकांचे रिअल टाइममध्ये विश्लेषण करतो आणि जलद प्रतिसाद देणारा मजकूर सुचवतो. यासाठी वाक् ओळख, प्रतिमा ओळख आणि नैसर्गिक भाषा प्रक्रिया यांचा वापर केला जातो.
The Recognition
About the A' Design Award लोह पुरस्कार
Aifanfan IM ग्राहक सेवा अनुप्रयोग हे A' Design Award लोह पुरस्काराचे विजेते आहे, उत्तम रीतीने रचलेल्या निर्मितींकडून अपेक्षित व्यावसायिक आणि औद्योगिक गरजा पूर्ण करणाऱ्या चांगल्या रचनांना दिला जाणारा प्रतिष्ठित सन्मान. लोह विजेते त्यांच्या निर्मात्यांचे मोठे कौशल्य, उच्च विशेषज्ञता, तज्ज्ञाची समज आणि सर्जनशील क्षमता दाखवतात. Aifanfan IM ग्राहक सेवा अनुप्रयोग ही अत्यंत मानाची, कौतुकास्पद आणि जिव्हाळ्याची, व्यावहारिक आणि नाविन्यपूर्ण निर्मिती असेल अशी अपेक्षा आहे. ही लोह पुरस्कार जिंकलेली रचना उद्योगातील उत्कृष्ट पद्धती एकत्र करते आणि ज्ञान व प्रतिभेशी जोडलेले सक्षम तांत्रिक गुण बाळगते. Aifanfan IM ग्राहक सेवा अनुप्रयोग परिपूर्णतेबद्दल आदरास पात्र आहे आणि जीवनाचा दर्जा सुधारून जग अधिक चांगले बनवण्यासाठी रचलेली आहे.
Behind the Design
Press Kit
Credits, team members and technical details provided by the designer.
- Unique Properties
- 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.
- Tags
- Customer service system, Program, Online customer service, After-sales service, AI technology
- Production Technology
- It uses the leading AI technologies of Baidu, such as speech recognition, image recognition, and natural language processing.
- Design Challenge
- 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.
- Research
- 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.
- Inspiration
- 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.
- Project Duration
- The project was designed and developed in Beijing in April 2021 and went live in China in October 2021
- Operation Flow
- 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.
- Team Members
- Yuan Lu
Fengyang Wang
Yujie Shi
Yi Liao
Nuo Xu
Liying Li
Li Liu
Xue Luan
Tian Xie
Lu Gan
Yanyan Wei
Jingjing Luo
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