The AI-first scenarios of e-commerce are AI models, intelligent digital human customer service, and intelligent operations to improve efficiency
AI models: AI can generate virtual models that can be used to display clothing, accessories, and other goods. Save shooting costs, improve efficiency, achieve personalized display, and meet the aesthetic needs of different consumers.
Intelligent digital human customer service: AI-based chatbots can provide 7X24 hours online customer service to answer questions and recommend products. Helps improve customer satisfaction and reduce customer service costs.
Intelligent operation and efficiency: AI can analyze user behavior data of e-commerce stores and provide intelligent suggestions for e-commerce operation teams, such as adjusting advertising and optimizing promotion strategies. This helps improve operational efficiency and effectiveness.
Virtual anchors: AI can generate virtual anchors for e-commerce live sales and product introduction. Save labor costs, improve live streaming efficiency, and enable personalized interactions.
Smart product recommendation: AI can recommend relevant products for users based on data such as purchase history and browsing behavior. Increase user purchase conversion rate and user satisfaction.
Data monitoring: AI can monitor various data on the e-commerce platform in real time, such as sales, traffic, conversion rate, etc. This helps operations teams identify issues and adjust strategies in a timely manner.
Crowd portrait: AI can generate refined user portraits for e-commerce platforms based on user behavior data
For example, help the operation team more accurately design and product recommendations.
Store design: AI can provide personality for e-commerce stores based on user behavior data and design trends
Page design recommendations. This helps improve the user experience.
Intelligent product selection: AI can automatically screen for e-commerce platforms based on market trends, user needs and other data
Choose a hot seller. Increase product sales and meet user demand.
Page optimization: AI can analyze user behavior data on e-commerce platforms and provide it to operation teams
Optimization suggestions for page layout, navigation, colors, and more. Improve user experience and purchase conversion rates.
E-commerce data analysis: AI can conduct in-depth analysis of a large amount of data on e-commerce platforms for operation
The team provides valuable insights and recommendations. Boost operational efficiency and effectiveness.
Order management system: AI-based order management system can automate order processing, such as:
Automatic allocation of warehouses, optimization of logistics routes, etc. Increase order processing speed and reduce logistics costs.
Automatic release and listing: AI can automatically generate product details based on product information and e-commerce platform rules
Love page and automatically publish and put it on the shelf. This helps improve the speed and efficiency of product listing.
Price optimization: AI can be based on factors such as market demand, competitor pricing strategy, and inventory situation
Adjust commodity prices in real time to increase sales and profits.
Inventory management: AI can predict the demand for goods and help e-commerce platforms optimize inventory management and avoid
Out-of-stock or overstocked issues.
Quality control: AI can analyze consumer reviews and feedback to automatically identify low-quality items or fakes
Transactions help protect consumer rights and safeguard the reputation of corporate e-commerce stores.
Logistics optimization: AI can intelligently plan items based on factors such as order information, traffic conditions, and weather
Flow paths and times to improve distribution efficiency and accuracy.
Voice shopping assistant: AI-based speech recognition and natural language processing technology that allows consumers
Improve user experience with voice commands for product search, shopping, and payment.
First, the platform integrates AI, and makes efforts to operate tools and optimize algorithms
1.1 Application direction: Intelligent operation improves efficiency
Application example: E-commerce SaaS service provider Shopify integrates ChatGPT
• Case description: Shopify is a SaaS enterprise that provides e-commerce platform services for global e-commerce retailers, providing e-commerce website establishment, maintenance and management, logistics and transportation, platform payment and other e-commerce operation full-process services. On March 1, 2023, Shopify took the lead in integrating ChatGPT, upgrading intelligent customer service (chatbot), helping consumers make personalized recommendations and helping merchants save interaction time, in addition, ChatGPT can also provide platform product review data analysis, title and keyword optimization, marketing copywriting, website intelligent development programming and other functions, effectively improve seller operational efficiency and consumer experience. It is expected that once ChatGPT is introduced into China in the future, it will bring about great changes in the field of e-commerce and e-commerce agency operations, such as: multiple results appear in the search for goods, becoming the only answer. ChatGPT will recommend more suitable products based on user purchasing habits and behavior data, enhance the matching degree between the platform and consumer needs, improve the stickiness of users to the platform, and build competitive barriers for service providers.
1.2 Application case: smart product recommendation
• Application Case: What is Worth Buying - Algorithm Optimization
• Case description: What is worth buying continues to optimize the "thousands of people and thousands of faces" recommendation and search algorithm, through the enrichment of user behavior sequence characteristics, adding more positive and negative feedback, optimizing the fusion formula and other efforts, enhance the diversity of system recommendations and search accuracy, show users richer consumption decision-making content, and improve users' content acquisition experience. From the fourth quarter of 2022, "What is worth buying" will try more to AIGC to generate pictures, product highlights and other content. This research and attempt to construct conversational user decision-making scenarios, introduce conversational robot assistants to provide highly matched product and content recommendation results, and improve the efficiency of user consumption decisions.
Second, AI virtual humans help improve the efficiency of live streaming e-commerce delivery scenarios
2.1 Application direction: virtual anchor
Application example: Silicon-based digital human live broadcast of silicon-based intelligence
Case description: Silicon-based intelligence is the only AIGC technology company that Tencent focuses on investing in the field of artificial intelligence. With the goal of "siliconization of carbon-based life", it focuses on the innovative application production scenarios of digital human + AIGC, and realizes digital human application solutions that are closer to humans, personalized and good at learning. Digital human live broadcast platform and silicon short video platform are widely used in local life live broadcast, e-commerce live streaming and cross-border e-commerce and other fields, applicable to Douyin, Kuaishou, Channels, Taobao, Tmall, Pinduoduo, Jingdong and other domestic video and e-commerce platforms, supporting overseas video platforms.
2.2 Application direction: intelligent operation to improve efficiency
Case study: Aoki's e-commerce intelligent system
Case description: Aoki cooperated with Alibaba Data to explore data application solutions, create and optimize teaching models, and improve e-commerce operation efficiency and effectiveness. At present, a data application system of data-based commodity operation, data-based traffic operation, full-link digital marketing, data-based crowd operation, and data-based customer management has been established. System integration can be carried out according to the individual needs of brand owners, provide full-link integrated IT solutions, and self-developed multiple IT systems: