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Reducing Carbon Footprint With AI-Driven Logistics Planning
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Author(s): K. Sasikala (R.P. Sarathy Institute of Technology, India), Ritu Dahiya (Chhotu Ram Arya College, India), P. Selvakumar (Department of Science and Humanities, Nehru Institute of Technology, Coimbatore, India), P. Sudheer (CVR College of Engineering, India), Kamal Kumar Rajagopalan (Uttaranchal Institute of Management, Uttaranchal University, India), T. C. Manjunath (Rajarajeswari College of Engineering, India)and Mohit Sharma (Maharshi Dayanand University, Rohtak, India)
Copyright: 2026
Pages: 28
Source title:
Impact of Generative AI on Food Supply Chain Management
Source Author(s)/Editor(s): Bhupinder Pal Singh Chahal (Yorkville University, Canada), Arokiaraj David (SBS Swiss Business School, RAK, UAE), Amrinder Singh (Jain University, India), Geetika Madaan (Marwadi University, India)and Gurmeet Singh (The University of the South Pacific, Fiji)
DOI: 10.4018/979-8-3693-9856-2.ch007
PurchaseView on the publisher's website for pricing and purchasing information.
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Abstract
Sustainable logistics pivotal focus in modern, driven by the urgent need to address environmental, social, and economic challenges. As global trade expands the sector faces significant pressure to reduce its carbon footprint while maintaining efficiency and competitiveness. Traditional logistics practices have often prioritized speed and cost over sustainability, leading to increased Consequently, the logistics industry is at a crossroads, compelled to rethink its operational frameworks and embrace sustainable practices.One of the most pressing challenges in sustainable logistics is the reliance on fossil fuels, climate change. Transitioning to alternative fuels and electric vehicles is essential but fraught with obstacles, including high upfront costs, limited infrastructure, and technological readiness. Additionally, among various stakeholders, including suppliers, manufacturers, and retailers, each of whom may have differing priorities and capabilities.Another critical challenge is the efficient management of resources.
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