Author(s)

Rongxiang Huo

Corresponding Author

Rongxiang Huo

Abstract

As one of the less developed provinces in China, Guizhou has long faced problems such as large income disparity, poor infrastructure, and limited economic opportunities. In order to help Guizhou diversify its economy and improve the living standard of its residents, this paper proposes an intelligent horsetail embroidery production scheme based on artificial intelligence and deep reinforcement learning technology. The Stable Diffusion model is used to generate customised ponytail embroidery patterns suitable for the market demands of different countries, which reduces the design cost and improves the design efficiency. Using the improved PPO algorithm to drive the robotic arm automatic sewing technology, it significantly improves the production efficiency, reduces the manual labour input, and guarantees the product quality. Especially in the field of cross-border e-commerce, this paper analyses in detail how to use global e-commerce platforms such as Amazon, Etsy and Rakuten, combined with customised marketing strategies, to promote horsetail embroidery products to target markets such as the UK and Japan. On this basis, products that meet the aesthetics and needs of local consumers are customised according to the cultural characteristics of different countries to enhance the market competitiveness of horsetail embroidery. Meanwhile, this paper discusses the optimisation of logistics, sales and marketing strategies through cross-border e-commerce platforms to enhance the global sales and profitability of the products, to promote the in-depth integration of Guizhou's traditional handicrafts with the global market, and to realise the sustainable growth of the regional economy.

Keywords

Stable diffusion; Deep reinforcement learning; E-commerce platform