Aifanfan IM Chishandiso Chekushandira Vatengi naBaidu Online Network Technology Beijing

Dhizaini Aifanfan IM Chishandiso Chekushandira Vatengi naBaidu Online Network Technology Beijing ndiye mukundi anokudzwa zvikuru wemubairo unoremekedza we2023 Mubairo weSimbi we A' Design Award muChikwata cheKukwikwidza cheTekinorojii yeRuzivo.

SimbiTekinorojii yeRuzivo· 2023

Aifanfan IM Chishandiso Chekushandira Vatengi

na Baidu Online Network Technology Beijing

Mutengi: Baidu Online Network Technology. Beijing

Mukundi weMubairo weSimbi we A' Design Award muChikwata cheTekinorojii yeRuzivo

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Dhizaini

Nezvekwa Aifanfan IM Chishandiso Chekushandira Vatengi

Aifanfan IM ichishandiso chine njere chekushandira vatengi chekutsigira mushure mekutengesa pamhepo. Chishandiso ichi chinopa rubatsiro rwekuisa mashoko, kuvandudza maitiro ebasa, uye mubatsiri weAI kuti zvireruke kutaurirana pakati pevashandi vekutsigira nevatengi. Kuisa mashoko kunobva munzira dzakasiyana-siyana, kusanganisira kamera nezwi, kunoziva mitauro yekunze nemitauro yekumativi kuti zviderese chipingaidzo chekutanga kuisa mashoko. Mubatsiri weAI unoongorora zvinhu zvinonzwikwa mumashoko ekutaurirana nenguva chaiyo uye unokurudzira zvimwe zvingapindurwa nekukurumidza. Kuzivikanwa kwezwi, kuzivikanwa kwemifananidzo, uye kugadzirwa kwemutauro wechisikigo zvinoshandiswa.

Kuzivikanwa

Nezve Mubairo weSimbi we A' Design Award

Mubairo weSimbi we A' Design Award wakahwinwa ne Aifanfan IM Chishandiso Chekushandira Vatengi, rukudzo runokudzwa runopiwa kumadhizaini akanaka anozadzisa zvinodiwa zvehunyanzvi neyeindasitiri zvinotarisirwa kuzvigadzirwa zvakagadzirwa zvakanaka. Vakunda veSimbi vanoratidza unyanzvi hukuru, hunyanzvi hwakakwirira, kunzwisisa kwevakachenjera uye kugona kwekugadzira kwevagadziri vavo. Aifanfan IM Chishandiso Chekushandira Vatengi inotarisirwa kuva chigadzirwa chinokudzwa zvakanyanya, chinoremekedzwa uye chinodiwa, chinoshanda uye chine zvitsva. Dhizaini iyi yakahwina Mubairo weSimbi we A' Design Award inosanganisa maitiro akanakisa eindasitiri uye ine hunhu hwetekinoroji hwakakwana hwakabatana neruzivo nehunyanzvi. Nekushanda kwayo zvakanaka, Aifanfan IM Chishandiso Chekushandira Vatengi inoremekedzwa uye yakagadzirirwa kupa kuvandudzwa kwehupenyu kunobatsira kuita kuti nyika ive nzvimbo iri nani.

Shure kweDhizaini

Bepa Renhau

Zvikwereti, nhengo dzetiimu nezvimwe zvakadzama zvakapihwa nemudhizaina.

Hunhu Hwakasiyana: 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.
Matagi: Customer service system, Program, Online customer service, After-sales service, AI technology
Tekinoroji Yekugadzira: It uses the leading AI technologies of Baidu, such as speech recognition, image recognition, and natural language processing.
Changamire yeDhizaini: 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.
Tsvakurudzo: 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.
Chikurudziro: 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.
Nguva yePurojekiti: The project was designed and developed in Beijing in April 2021 and went live in China in October 2021
Mafambiro eBasa: 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.
Nhengo dzeTimu: Yuan Lu
Fengyang Wang
Yujie Shi
Yi Liao
Nuo Xu
Liying Li
Li Liu
Xue Luan
Tian Xie
Lu Gan
Yanyan Wei
Jingjing Luo