Basi Teknologi Informasi · 2023
Aifanfan IM Aplikasi Layanan Palanggan
by Baidu Online Network Technology Beijing
- A' Design Award Basi 2023 in Teknologi Informasi
- CLIENT: Baidu Online Network Technology. Beijing
- Estimated Number of Design Views: 1,088,241
- Verification code CD5D836F1D · Verify this award
Colors
About Aifanfan IM Aplikasi Layanan Palanggan
Aifanfan IM adolah aplikasi layanan palanggan pintar untuak dukungan purnajual online. Aplikasi ko manyadiokan bantuan input, optimalisasi proses, sarato asisten AI untuak mampamudah komunikasi duo arah antaro agen layanan jo konsumen. Input multi modal, tamasuak kamera jo suaro, mangenali bahaso asiang jo dialek untuak marandahkan ambang input. Asisten AI manganalisis faktor emosional dalam teks dialog sacaro real time sarato marekomendasikan konten respon capek. Pengenalan suaro, pengenalan gambar, sarato pemrosesan bahaso alami digunoan.
About the A' Design Award Basi
Aifanfan IM Aplikasi Layanan Palanggan adolah pamenang A' Design Award Basi, sabuah pangakuan nan bapresti nan dibarikan ka rancangan nan elok nan mamanuhi kaparluan profesional jo industri nan dipaokan dari ciptaan nan dirancang jo elok. Pamenang Basi mamparlihatkan kamahiran nan gadang, spesialisasi nan tinggi, pamahaman pakar jo kapasitas kreatif panciptanyo. Aifanfan IM Aplikasi Layanan Palanggan dipaokan manjadi ciptaan nan sangaik dihormati, dikagumi jo disayangi, nan praktis jo inovatif. Rancangan nan manang Basi iko mamasukkan praktik tabaik industri jo punyo ciri teknis nan cakap nan bapautan jo ilimu jo bakaik. Aifanfan IM Aplikasi Layanan Palanggan dihormati karano katalitiannyo jo dirancang untuak maningkekkan kualitas hiduik jo mambantu manjadikan dunia tampek nan labiah elok.
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.
