A Carbon Analytics Framework for Reducing Environmental Footprint in Retail Supply Chains

This paper presents a comprehensive carbon analytics framework designed to reduce the environmental footprint of retail supply chains through data-driven, life cycle-based measurement and strategic management. By integrating advanced emissions mapping, predictive modeling, and real-time visualization tools with existing enterprise systems, the framework enables retail organizations to identify carbon-intensive supply chain nodes, monitor performance, and optimize operations for sustainable outcomes. Strategic enablers such as organizational alignment, climate-focused culture, regulatory compliance, and multi-stakeholder transparency are emphasized to embed carbon responsibility throughout procurement and logistics functions. The model supports measurable carbon reductions while enhancing operational efficiency, resilience, and stakeholder trust. Furthermore, the framework offers insights into the strategic transformation of retail sustainability practices, procurement innovation, and competitive positioning in an evolving regulatory landscape. Future directions include leveraging blockchain for traceability, carbon-aware pricing strategies, and integrating consumer-facing carbon data platforms to foster broader climate action. This approach empowers retail firms to transition toward low-carbon supply networks that align environmental stewardship with business value creation.