Published Article

ABSTRACT

While AI-driven Autosystem offers potential solutions such as real-time inventory optimization, increased coordination, and predictive analytics, its implementation in emergency response and crisis management remains restricted. Many grocery stores have failed to properly harness these technologies to solve crucial areas such as anticipating demand for vital commodities, decreasing supply chain risks, and guaranteeing fair disruption of resources during a crisis. This study investigates Leveraging AI-Driven Autostore Systems to Enhance Emergency Response and Crisis Management; a focus on Grocery stores. Descriptive statistics was employed by the study in analyzing the collected data on the impact of AI-driven Autostore systems on response to emergencies in disaster management. The study established that an AI-driven Autostore system goes a long way in helping to mitigate delays in the response to disasters or pandemic situations. The study recommends that policymakers and industry stakeholders work together to design supporting policies that promote the use of AI while adhering to the proper ethics for guaranteeing data privacy and security. By taking a proactive approach and developing public-private collaborations, food merchants can fully realize the promise of Autostore’s AI-driven system for constructing resilient supply chains and increasing their ability to serve communities during catastrophes.