Aifanfan IM Asnas n Uselkem n Imsaɣen sɣur Baidu Online Network Technology Beijing d anerbaz yettwaqadren meqqren n 2023 Tarbaḥt A' Design Award n Uzzal deg Taggayt n Tnaflit n Afeṣṣel n Tetiknulujiyin n Telɣut.
UzzalTitiknulujiyin n Telɣut· 2023
Aifanfan IM Asnas n Uselkem n Imsaɣen
sɣur Baidu Online Network Technology Beijing
Amsaɣ: Baidu Online Network Technology. Beijing
Anerbaz n Tarbaḥt A' Design Award n Uzzal deg Taggayt n Titiknulujiyin n Telɣut
Anerbaz n Urraz Yettwasenqden
Senqed Addad n Urraz i #144072Afeṣṣel
Ɣef Aifanfan IM Asnas n Uselkem n Imsaɣen
Aifanfan IM d asnas ucrik n uselkem n imsaɣen i uɛiwen n usellek deffir uzenzi srid srid srid s tuqqna. Asnas-a yețțak tallalt deg uketteb, asnerni n tikli, akked umeɛiwen s tmusni tarmitant (IA) i wakken ad isseshel taywalt gar wid ixeddmen deg usellek d imsaɣen. Aketteb s waṭas n yiberdan, ideg iɛreḍ tamiḍant akked umeslay, yesnermes tutlayin d tantalin tibarraniyin akken ad isihel deg uketteb. Ameɛiwen s tmusni tarmitant yesleḍ, s wakud n tidet, tisura n tuqrit deg uḍris n imyannaḍen yerna yessumer agbur n tririt s uzgen. Yețwasexdem usnermes n umeslay, asnermes n tugniwin akked useqdec n tutlayt tanaturalt.
Asmekti
Ɣef Tarbaḥt A' Design Award n Uzzal
Aifanfan IM Asnas n Uselkem n Imsaɣen d amerbaḥ n Tarbaḥt A' Design Award n Uzzal, tagmat i yisnulfa yelhan i yemmalen ayen i d-ttrajun yimdanen seg yisnulfa yelhan. Imerbaḥen n Uzzal ttbanen d tmusni, tmahilt d tazmert n yimahilen-nsen. Aifanfan IM Asnas n Uselkem n Imsaɣen ad yili d asnulfu yettwaɛezzen, yelhan, amaynut. Isnulfa-a ttwaɛezzen imi ɛawnen deg tudert, rran ddunit ugar n lxir.
Deffir n ufeṣṣel
Tagrurt n tɣamsa
Ismawen n terbaɛt, iferdisen itiknikanen akked telɣut i d-yefka umeṣṣufeɣ.
- Taɣara Tasuft
- 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.
- Tibzimin
- Customer service system, Program, Online customer service, After-sales service, AI technology
- Tasnakta n Ufares
- It uses the leading AI technologies of Baidu, such as speech recognition, image recognition, and natural language processing.
- Asewḥel n Usnulfu
- 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.
- Anadi
- 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.
- Aseḥbiber
- 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.
- Tanzagt n Usenfar
- The project was designed and developed in Beijing in April 2021 and went live in China in October 2021
- Tanila n Umahil
- 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.
- Igmamen n Terbaɛt
- Yuan Lu
Fengyang Wang
Yujie Shi
Yi Liao
Nuo Xu
Liying Li
Li Liu
Xue Luan
Tian Xie
Lu Gan
Yanyan Wei
Jingjing Luo
Yettwaxellṣen
Snirem Seld Designers.org
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