Intelligent Livestream Partner Aikace-aikacen Mataimakin Watsa Shirye-shirye Kai Tsaye by Kuaishou Ecommerce Design Center

Intelligent Livestream Partner Aikace-aikacen Mataimakin Watsa Shirye-shirye Kai Tsaye by Kuaishou Ecommerce Design Center is a highly esteemed winner of the very prestigious 2026 Kyautar A' Design Award ta Zinariya in Wayar Hannu Competition Category.

ZinariyaWayar Hannu· 2026

Intelligent Livestream Partner Aikace-aikacen Mataimakin Watsa Shirye-shirye Kai Tsaye

by Kuaishou Ecommerce Design Center

Client: Kuaishou

Kyautar A' Design Award ta Zinariya Winner in Wayar Hannu Category

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The Design

About Intelligent Livestream Partner Aikace-aikacen Mataimakin Watsa Shirye-shirye Kai Tsaye

Intelligent Livestream Partner aikace-aikacen wayar hannu ne da ke taimaka wa masu sayarwa masu zaman kansu ta hanyar watsa shirye-shirye kai tsaye. Katunan wayo suna bayyana a ainihin lokaci kuma suna bin kowane mataki na watsawa. Katunan suna ba da shawarwarin rubutun magana, suna tattara tambayoyin masu kallo cikin katunan amsawa, kuma suna ba da shawarwari masu sauƙi na gano matsala idan bayanai suka fara rashin kwanciyar hankali. Umarnin murya suna kammala jera kaya, cirewa, yin oda, da sauya adadin kaya ko farashi ba tare da matakan hannu ba. Fuskar aiki mai duhu ta dace da allon OLED kuma tana rage amfani da wutar lantarki. Manufar ita ce tallafa wa masu watsa shirye-shirye kaɗai da ke aiki ba tare da ƙungiya ba.

The Recognition

About the Kyautar A' Design Award ta Zinariya

Zanen Intelligent Livestream Partner Aikace-aikacen Mataimakin Watsa Shirye-shirye Kai Tsaye ya lashe Kyautar A' Design Award ta Zinariya, wata karramawa mai matuƙar daraja da ake bai wa zane-zane na matakin farko, masu ban mamaki kuma na musamman. Waɗanda suka lashe kyautar Zinariya ƙirƙire-ƙirƙire ne masu sababbin abubuwa sosai, masu hangen nesa kuma masu haske mai ban sha'awa waɗanda ke nuna hazaƙa, hikima da ƙwarewar masu zanensu. Ana sa ran zanen Intelligent Livestream Partner Aikace-aikacen Mataimakin Watsa Shirye-shirye Kai Tsaye ya zama ƙirƙira mai yabo sosai, mai kafa yanayi kuma babba wacce ke kawo ƙima da ba a taɓa ganin irinta ba. Wannan zane da ya lashe Kyautar A' Design Award ta Zinariya aiki ne mai ban mamaki, mai daraja wanda ke amfanar fasaha, kimiyya, zane da fasahar zamani sosai kuma yana kai iyakokinsu gaba. Zanen Intelligent Livestream Partner Aikace-aikacen Mataimakin Watsa Shirye-shirye Kai Tsaye yana haifar da tsananin sha'awa, yana tada soyayya ga aiki, yana ƙarfafa ƙirƙira kuma yana burge mu.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: As the world’s first full process AI livestreaming system, our product offers four key capabilities.
Smart cards based on livestream scenarios cover the entire livestream workflow.
It moves beyond passive tools by detecting streamer stumbles and data anomalies, then proactively suggesting scripts or optimizations.
Complex operations such as product listing or removal and price changes are completed with a single voice command.
A dark, immersive interface with low brightness delivers a futuristic yet practical experience while reducing power consumption and supporting environmental sustainability.
Dimensions & Packaging: This design is a mobile AI livestream assistant with three technical features. The core AI model is highly compressed to reduce lag on entry level phones. Voice command recognition reaches at least 95 percent accuracy in 60 dB noise, with response time under 500 ms for comment sorting and script generation. A UI tuned for OLED screens and lower energy use reduces power consumption by about 30 percent.
Tags: Livestream, AI Assistant, Smart Prompt Card, Voice-Command Operation, Dynamic Scenario Adaptation
Production Technology: 1. Our core technologies use NLP to automatically group and summarize comments, generate product pitching prompts, and match them to livestream scenes.
2. A data engine that works in real time detects abnormal data and outputs quick diagnostic advice.
3. Voice interaction recognizes and executes commands for all product operations.
4. The model is trained on large live commerce corpora, so scripts match real streams and do not sound mechanical.
Design Challenge: Challenge 1: Turn complex live streaming workflows into clear guidance. We broke down pro teams' work before, during, and after a stream and built AI modules to cover scripts, comment replies, and data based strategy.
Challenge 2: Make dense comments and metrics easy for lower tier users to grasp. We show data and suggestions in simple visuals and plain language.
Challenge 3: Combine NLP, data analysis, and voice control so small streamers get full support without a team.
Research: We interviewed 15 users and surveyed one million creators, gaining 2,093 valid responses. Results showed 80 percent lacked structure in product pitching, 42.9 percent found operations cumbersome, and 47.1 percent struggled with data and engagement. We adopted “simple and direct” as the core design principle, using voice commands, smart prompts, and automatic data diagnostics with no extra learning.
Inspiration: During detailed visits to independent streamers, we observed that they faced several core challenges. Solo operations led to chaos in tasks such as product listing and price adjustments, unstructured product explanations, and difficulty interpreting livestream data. We realized that existing tools were not truly helping them, which reduced their enthusiasm for streaming and limited their income growth.
By drawing on Kuaishou’s mature AI capabilities, we designed a full process AI livestream assistant that lowers barriers and helps independent streamers build a more stable income.
Project Duration: Project Timeline: Design research was kicked off in March 2025; after finalizing the design direction in May, design drafts were initiated. Following several months of design iteration and project R&D, the product was launched and put into use in November 2025.
Operation Flow: Smart cards are pushed in real time based on dynamic livestream scenarios, so no complex actions are required, and streamers can simply read along or apply them with one click. They assist product explanation with tailored prompts, summarize and group audience questions into reply cards, and push diagnostic tips when data becomes unstable. All key product operations can be done with voice commands alone, covering listing, removal, ordering, and inventory or price changes without manual work.
Team Members: Suya Xu
Jing Li
Ruoyu Fang
Yingtai Gao
Peng Zhou
Wenwei Zhang
Tianya Ge
Yixiang Zhao
Mingyuan Xiang
Image Credits: All characters appearing in images, PDFs, and videos are AI generated with no copyright or privacy issues.