Recent disruptions to global supply chains – from the COVID-19 pandemic to shifting tariff policies – have prompted companies to reevaluate their operational strategies. This capstone provides a practical, evidence-based framework to help organizations build or transition toward more resilient, sustainable, and community-oriented supply chains. Through methodical case study analysis across four critical supply chain segments, this research establishes a foundational framework for implementing hyper-local supply chain operations. The investigation examines nine case studies spanning diverse industries, from fast-casual restaurant chains (Chipotle, Salad and Go) and food and beverage producers (Relocalize, Niagara Bottling) to retailers (Fillogic, Walmart, Amazon) and consumer goods companies (Algramo, Patagonia), to identify patterns in motivations, implementation strategies, challenges, and impacts of localization. The resulting framework defines hyper-locality across three dimensions: geographic proximity (30-400 miles), supply chain segment, and percentage of local operations. This dimensional approach addresses the ambiguity in existing literature regarding what constitutes "local" or "hyper-local" in supply chain contexts. The research further develops a quantitative self-assessment tool enabling organizations to benchmark their hyper-local maturity against industry standards and competitor practices. Key findings demonstrate that localized supply chains deliver substantial environmental benefits (reduced emissions), economic advantages (cost savings), operational improvements (enhanced resilience), and social contributions (community engagement). These benefits vary by industry and supply chain segment, necessitating tailored localization strategies. By integrating GS1 standards with the proposed framework, the capstone provides organizations with a structured methodology for evaluating current operations and developing strategic roadmaps for transitioning to more localized supply chain models in response to evolving market demands.