The work aims to study the shape of bamboo woven product and design a cultural and creative product of bamboo woven furniture. Under the framework of sustainable design, through the summary of bamboo furniture design requirements, FAHP method was used to identify the key design points. Then, FAHP was used to find out the visual requirements required to be solved. Deep learning method in artificial intelligence algorithm was applied to build bamboo woven pattern data set, and special texture design scheme was extracted after iterative convergence. Through the establishment of the HOQ model, the user requirements were transformed into design requirements to solve the contradiction between pattern vision and product design. The 39 parameters in the engineering field and the 40 invention principles of TRIZ were applied to creatively solve the contradiction and optimize the design and production process. The design scheme demonstrates the synergistic effect between sustainable materials, quantitative analysis methods and efficient production, and verifies the advantages of artificial intelligence algorithm in the sustainable construction of bamboo woven patterns, sustainable sources of bamboo materials, and sustainable production methods.