Current Literature Analysis Regarding the Fresh Food Distribution Platform Based on the Artificial Intelligence (AI)
Current Literature Analysis Regarding the Fresh Food Distribution Platform Based on the Artificial Intelligence (AI)
박영근
초록
Purpose: The research offers critical information to practitioners, retailers, and technology firms on the effective implementation of artificial intelligence (AI) in fresh food transport operations. The initiative contributes to two functions, which involve supporting managerial decisions and constructing innovative sales channels that improve profitability and have a favorable impact on customer satisfaction. Research design, data and methodology: The study performed a systematic literature review (SLR) with the objective of searching out, examining, and synthesizing what has been established to date in regard to the application of AI in fresh food distribution. In accordance with PRISMA standards, the review set out to meet high methodological excellence, integrity, and replicability. Results: AI for fresh food distribution provides practitioners responsible for supply chain logistics and management and operations functions with promising fresh approaches and exciting opportunities to enhance their services and business results. Maintaining high-quality service delivery and business outcomes through fresh food distribution depends on AI technologies. Conclusions: Fresh food ordering with the use of artificial intelligence is a crucial shift to tackle industry-related challenges that specifically target perishables. Predictive analysis and smart inventory management through AI systems are of utility in providing a remedy to operational enhancement and minimization of wastage and rapid delivery.