Aim/Purpose: It examines the feasibility of introducing a sustainability online food inventory mobile application with the integration of AI to eliminate food waste in China, a major contributor of food waste in the world and displays an in-depth analysis on entry barriers, current competition as well as the financial and governmental regulatory environment of the country. Methodology: This research employs a qualitative, secondary research-based methodology through an analytical business lens. In this study, the integration literature review, industry analysis and market evaluation are utilised to assess the feasibility of an AI-driven food waste management application. With the necessary data from academic studies, market reports and the regulatory environment, the trends in sustainability, digital platforms and AI were analysed. Furthermore, strategic tools such as feasibility analysis, competitor analysis and business model design are used to develop and evaluate the proposed solution. Contribution: This research contributes to the field of digital innovation and sustainability by proposing an AI-driven solution to household food waste through the development of the AI application, SavePantry. It constructs the practical implementation of a scalable business model with the use of behavioral insights, artificial intelligence and digital platform strategies while presenting a comprehensive feasibility analysis of the Chinese market by providing insights into regulatory conditions, commercial viability and competitive landscape. In addition, this study demonstrates the ability of digital platforms to create economic value by aligning objectives with environmental sustainability goals, more specifically for SDG 12 and SDG 13. Findings: The findings of this study conclude that despite the barriers of initiating the proposal, its implementation is encouraged, considering the market share opportunity and the lack of competition in the food waste sustainability industry.
A Thu, study studied this question.