Strategic Analysis of AI Integration in Rural Re-Commerce
DOI:
https://doi.org/10.62643/ijerst.2026.v22.i1(S).2062Abstract
The global push for sustainability has positioned "re-commerce" (the selling of previously owned goods) as a cornerstone of the circular economy. The market for the resale of used goods (Recommence)is growing rapidly in rural areas. “While urban markets have seen a digital revolution through platforms like OLX and Cashify, rural sectors—comprising over 65% of the Indian population—remain largely unorganized. This research explores the strategic integration of Artificial Intelligence (AI) to solve the "trust deficit" and "logistics nightmare" inherent in rural markets. By analysing Computer Vision for automated grading, Natural Language Processing (NLP) for vernacular accessibility, and Machine Learning (ML) for route optimization, this paper argues that AI is the primary catalyst for economic formalization in rural India. The findings suggest that AI can reduce rural operational overheads by up to 25%, making the resale of electronics and agricultural tools a viable business model.
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