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Richard Savoie is the CoFounder and CEO of Adiona Tech, a high-tech logistics company that helps suppliers of both B2B and B2C -- business and consumer services -- optimize the efficiency of their delivery fleets. Richard's passion for and contribution to sustainability is pronounced. Since 2021, his firm has enabled delivery fleet operators to save millions of miles of travel, hundreds of thousands of gallons of fuel, and 7.2 million kilograms of carbon dioxide from being released into the atmosphere. Using machine learning, and artificial intelligence, Adiona Tech optimizes the efficiency of delivery fleets in real time, reducing the number of trucks and clarifying delivery times. Richard was born and raised in New Hampshire. After studying at Northeastern University in Boston, Richard and his wife moved to Australia where he worked for a number of years in medical device engineering. Then Richard flexed his entrepreneurial side... ultimately cofounding Adiona Tech with a partner who specializes in optimization and computer science. They saw massive inefficiencies in the delivery supply chain and built software address this. Their first client was CocaCola. Today Adiona Tech has clients throughout Australia, New Zealand, in parts of Southeast Asia, and pilot programs in the United States. He notes that Australia Post... one of the world's largest postal distributors... is a key client that Adiona Tech helped to greatly increase the efficiency of its operations. In fact, Adiona Tech helped it to cut its fleet size, increase its delivery services, while providing a 100x return on the cost of the delivery optimization. The conversation hits on several facets of the supply chain, notably the last mile. Traditionally and on average, trucks serving the last mile have been only 60% full. Using Adiona Tech's services, delivery trucks can be 80-90% full, fleets can be smaller, and tremendous financial and environmental gains can be realized. Adiona Tech starts with its focus on both the supply side -- where products originate -- and the demand side, where they are delivered to businesses and consumers. Factors and optimization parameters considered include cargo size, weight, and volume; whether the products are palletized or not, the types of fleet vehicles used and more. Routes vary based on demands and on actual traffic patterns through what Richard calls "dynamic routing." The conversation shifts to the rise and potential for electric vehicles, noting range considerations that alter routes, but also the efficiency of EVs and their promise to further increase the efficiency and decarbonization of logistics. Autonomous vehicles are discussed, with Richard explaining the necessary orchestration of three technologies: AI, autonomous vehicles, and robotics. We are not there yet, but Richard anticipates the effective convergence of these in the next ten years... further enhancing the efficiency of delivery services. These advances will continue to boost Adiona Tech's outsized beneficial environmental impact.