Raud Infotehnoloogia · 2023
Aifanfan IM Klienditeeninduse rakendus
by Baidu Online Network Technology Beijing
- Rauaauhind A' Design Award 2023 in Infotehnoloogia
- CLIENT: Baidu Online Network Technology. Beijing
- Estimated Number of Design Views: 1,088,241
- Verification code CD5D836F1D · Verify this award
Colors
About Aifanfan IM Klienditeeninduse rakendus
Aifanfan IM on nutikas klienditeeninduse rakendus, mis on mõeldud veebipõhiseks müügijärgseks toeks. Rakendus pakub sisestusabi, protsesside optimeerimist ja tehisintellektil põhinevat abistajat, et lihtsustada kahepoolset suhtlust teenindusagentide ja tarbijate vahel. Mitmemodaalne sisend, sealhulgas kaamera ja hääl, tunneb ära võõrkeeled ja murded, alandades sisestamise künnist. Tehisintellektist abistaja analüüsib dialoogitekstis emotsionaalseid tegureid reaalajas ning soovitab kiireid vastusevariante. Kasutatakse kõnetuvastust, pilditutvustust ja loomuliku keele töötlust.
About the Rauaauhind A' Design Award
Aifanfan IM Klienditeeninduse rakendus on Rauaauhinna A' Design Award võitja, prestiižikas tunnustus, mis antakse headele disainidele, mis vastavad professionaalsetele ja tööstuslikele nõuetele, mida oodatakse hästi disainitud töödelt. Raudvõitjad näitavad oma loojate suurt oskust, kõrget spetsialiseerumist, asjatundlikku mõistmist ja loomingulist võimekust. Aifanfan IM Klienditeeninduse rakendus peaks olema kõrgelt hinnatud, imetletud ja armastatud looming, mis on praktiline ja uuenduslik. See Rauaauhinna A' Design Award võidudisain ühendab tööstuse parimaid tavasid ning tal on pädevad tehnilised omadused, mis on seotud oskusteabe ja andega. Aifanfan IM Klienditeeninduse rakendus on austatud oma põhjalikkuse eest ning on loodud pakkuma elukvaliteedi parandusi, mis aitavad teha maailma paremaks paigaks.
Press Kit
- 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.
