Aifanfan IM Tetlacaquiltiliztli Tepalehuiliztli Nechicholli ītēchcopa Baidu Online Network Technology Beijing

Tlanāhuatīlli Aifanfan IM Tetlacaquiltiliztli Tepalehuiliztli Nechicholli ītēchcopa Baidu Online Network Technology Beijing cē cencā mahuizzō tēmacēhualōni īpan huēyi 2023 Mahuizolli A' Design Award Tepoztli īpan Tlamatiliztepoztli Tlachihchihualiztli Nēhuilīztli Tlamantli.

TepoztliTlamatiliztepoztli· 2023

Aifanfan IM Tetlacaquiltiliztli Tepalehuiliztli Nechicholli

īpal Baidu Online Network Technology Beijing

Tlanāhuatīlli: Baidu Online Network Technology. Beijing

Mahuizolli A' Design Award Tepoztli Tēmacēhualōni īpan Tlamatiliztepoztli Tlamantli

1,088,996

Tlaneltīlīlli Tēmacēhualōni

Xictlaneltilia Tēmacēhualli ītēchcopa #144072

Xiquitta A' Design Award ītechcopa Āmatl Tēmachiyōtīliztli Tlamachiōtl

Tlapalli

Tlanēxtilistli

Ītechcopa Aifanfan IM Tetlacaquiltiliztli Tepalehuiliztli Nechicholli

Aifanfan IM se yolizmatqui tetlacaquiltiliztli tepalehuiliztli nechicholli ipal tepalehuiliztli tlanamactli ipan cualli tlacemanahuactlacaquiliztli. In nechicholli quimaca tlacalaquilli tepalehuiliztli, tlachihualiztli cualtiliztli, ihuan se yolizmatqui tepalehuicatzintli inic quicualtilia ontetl-ohtli tlahtolnemiliztli itzalan tepalehuianime ihuan tlacohuanime. Miacpa-nezcayotl tlacalaquilli, ihcon quipia tlachializcopina ihuan tozquitl, quixmachilia huehcachaneh tlahtolli ihuan tlahtolnemachtiltin inic caxahua tlacalaquilli tepachihualiztli. In yolizmatqui tepalehuicatzintli quiixtlalohua yolpatiliztli tlein oncah ipan nenonotzaliztlahtolli axcan quemman, ihuan quinequixtia amo huehcauh tlananquiliztli nechicholli. Motequitiltia tozquitl-ixmachiliztli, ixcopinalli-ixmachiliztli, ihuan yuhcatlahtolli-tequitiliztli.

Tēixīmachōtiliztli

Ītechcopa Mahuizolli A' Design Award Tepoztli

Aifanfan IM Tetlacaquiltiliztli Tepalehuiliztli Nechicholli ca in quicuic in Mahuizolli A' Design Award Tepoztli, tlamahuizoliztli tlen momaca in cualli dizayno in quitlalia in tlen monequi ipan tequitl ihuan tlachihualiztli in quimaca in cualli tlachihualli. In quicuicah Tepoztli quinextia in hueyi tlamatiliztli, toltecayotl ihuan ihuelitiliztli intlachihuanime. Ca quinequi in Aifanfan IM Tetlacaquiltiliztli Tepalehuiliztli Nechicholli ca tlazohtli, mahuiztic, yancuic ihuan motequiuhtia. Ni dizayno in quicuic Tepoztli quihuelitia in tlamatiliztli ihuan quipia chicahualiztli tlen tepoztli. Aifanfan IM Tetlacaquiltiliztli Tepalehuiliztli Nechicholli quicualtia in nemiliztli ihuan quihuelitia in cemanahuac ica cualli.

Tlanēxtilistli Ītēixpan

Āmatl Tlanextīliztli

Tlapōhualli, tēquitqueh īwan tēchmachilīztli ōquinmaca in tlanēxtīlīlli.

Cē Zan Ītēchcopa: 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.
Tōcāitl: Customer service system, Program, Online customer service, After-sales service, AI technology
Tlachīhualiztli Māchiyōtl: It uses the leading AI technologies of Baidu, such as speech recognition, image recognition, and natural language processing.
Tlanāhuatīlli Nētēcahuilīztli: 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.
Tlatēmōliztli: 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.
Tēyōllālīliztli: 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.
Tēquitl Cāhuitl: The project was designed and developed in Beijing in April 2021 and went live in China in October 2021
Tēquitl Ōhuitl: 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.
Calpolli Tlācah: Yuan Lu
Fengyang Wang
Yujie Shi
Yi Liao
Nuo Xu
Liying Li
Li Liu
Xue Luan
Tian Xie
Lu Gan
Yanyan Wei
Jingjing Luo