Evolution of commerce
Last updated
Last updated
This chapter provides a historical and current overview of the commerce market, highlighting key milestones and innovations. It explores the beginnings of digital commerce, blockchain technology, and the emergence of live commerce, which has revolutionized the field. The section also discusses the impact of live commerce on various industries, showing real-world applications and its transformative effect on business and society as a whole. It also reviews ongoing research and future prospects for commerce and blockchain technology, including potential advancements in various areas.
Digital commerce technology mediates sales between ordinary users and merchants. It has evolved rapidly in recent years, driven by advances in internet technology, the development of high-performance computing hardware, and the popularization of communication protocols. Live commerce, in particular, is rapidly transforming the digital commerce space by opening up innovative new avenues of interaction.
Live commerce, in particular, is rapidly transforming the digital commerce space by opening up innovative new avenues of interaction.
Live product demonstrations Demonstrate and explain your products in real-time with live video streaming to give consumers a more vivid and realistic experience.
Interactivity Live chat and question-and-answer sessions allow consumers to engage directly with merchants or experts to answer questions about products.
Personalized recommendations During live streaming, you can leverage AI technology to provide a personalized shopping experience by recommending products based on your interests.
Buy Now Help consumers make purchases quickly and conveniently by providing a link or button to purchase your product directly during the live stream.
Live commerce technology is still evolving and developing and has the potential to achieve new levels of intelligence and capabilities. Here are some of the prospects and challenges for live commerce technology.
Computer vision AI can improve the ability to recognize and interpret visual information using convolutional neural networks, generative adversarial networks, self-supervised learning, etc. It can also achieve multi-modal and cross-modal capabilities and perform complex and diverse processing, including visual phenomena such as occlusion, illumination, perspective, etc.
Artificial General Intelligence AI can aspire to achieve human-level or superhuman-level intelligence, capable of performing all intellectual tasks that humans can do. It can also help people gain self-awareness and consciousness and understand their goals and values.
