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Logistics activities significantly contribute to global waste, accounting for about 10% of greenhouse gas emissions. Companies are increasingly leveraging artificial intelligence to mitigate this waste by optimizing operations and improving efficiency. AI technologies assist in route optimization, demand forecasting, and inventory management, ultimately reducing costs and environmental impact.
AI-driven solutions enhance decision-making processes by analyzing vast datasets to identify patterns and predict outcomes. For instance, organizations utilizing AI for route optimization have reported transportation cost reductions of up to 20%. In Egypt, AI is particularly effective in managing returns, improving product quality, and fostering sustainability through enhanced collaboration with local communities.
• AI reduces logistics waste through route optimization and demand forecasting.
• AI-driven systems enhance inventory management and minimize human errors.
Route optimization uses AI algorithms to determine the most efficient delivery paths, reducing fuel consumption and costs.
Predictive analytics employs historical data to forecast future trends, aiding in inventory management and reducing waste.
Cognitive classification utilizes AI to sort and process returned goods efficiently, determining their next steps for resale or recycling.
Coficab Group applies AI in logistics to enhance supply chain efficiency and sustainability, particularly in managing returns.
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