Reduce both costs and emissions.

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For example, the transport company Convoy operates on this principle, using AI to optimize logistics. The AI ​​platform automatically connects cargo with carriers that have free space, which allows for the most correct use of transport and reduces the number of empty trips.

Secondly, smart route planning. AI analyzes huge amounts of information, including historical traffic data, weather, road conditions, possible obstacles on the route (for example, accidents or road works), etc. Based on this data, algorithms predict future road conditions and adapt routes. At the same time, the technology allows you to choose which parameters to optimize - time, distance, body occupancy or travel economy.

Unlike conventional malta whatsapp number database navigation systems, which often simply choose the shortest route and do not take into account other important parameters, AI reacts quickly to changes. This makes logistics more flexible and cost-effective, and also reduces carbon emissions in this area.

For example, one of the world's largest parcel delivery companies, UPS, uses ORION technology. It is based on advanced algorithms and machine learning and is able to optimize delivery routes in real time. Since its launch, the tool has saved the company 160 million km and 45 million liters of fuel per year.

American retailer Walmart is another example of a company that uses AI to plan delivery routes, resulting in lower fuel consumption and reduced carbon emissions. Using this technology, the company reduced CO₂ emissions by more than 42 million kg, eliminating 48 million km of unnecessary driving and optimizing routes in a way that avoided 110,000 inefficient routes.

Third, warehouse management. Another step towards reducing the carbon footprint is the use of AI-based robotics solutions. Amazon is a great example of a company that uses the latest technology to manage supply chains efficiently and sustainably. Sequoia and Titan robots speed up and simplify warehouse operations, reducing the number of times goods are moved and, as a result, energy consumption. These smart systems also sort, pick, and pack more accurately and neatly than people. This means that goods are damaged less often, orders reach customers intact, and there are virtually no cancellations due to damage in the warehouse. This, in turn, reduces the need for unnecessary trips.

At first glance, such a contribution may seem insignificant, but even small steps can lead to big changes.

Implementation issues
At the first stage of integration, a business may face high capital expenditures. This concerns both the purchase or development of complex software and the modernization of infrastructure for processing large volumes of data. For small and medium-sized companies, such investments can become a serious burden.