How Amazon is Using AI to Achieve Sustainable Logistics

Amazon is leading the way when it comes to integrating AI throughout its logistics network, seeking to reduce emissions, boost operational efficiency and support its goal of achieving net-zero carbon by 2040. 

By leveraging machine learning models and AI tools across supply chain planning, forecasting and fulfilment, the company is reshaping its logistics approach while focusing on sustainability.

AI has been central to Amazon's operations for more than 25 years, starting with the launch of Amazon Science in the late 1990s. 

Andy Jassy, President and Chief Executive at Amazon, frames the company’s strategy clearly: “What started with a deep conviction that every customer experience would be reinvented using AI and that altogether new experiences we’ve only dreamed of would become possible, is rapidly becoming reality.

“Technologies like Gen AI are rare; they come about once-in-a-lifetime and completely change what’s possible for customers and businesses. So, we are investing quite expansively and the progress we are making is evident.”

AI in logistics planning

Amazon employs AI to automate and refine core supply chain processes. This includes predicting customer demand, planning inventory levels and improving how goods are stored, moved and delivered. 

With AI-supported analytics, Amazon can forecast what products are likely to be ordered and where, allowing the company to stock and ship more efficiently.

AI also helps Amazon minimise its environmental impact through emissions tracking and packaging optimisation.

The company uses AI to estimate the carbon footprint of specific products and identify opportunities to reduce materials in packaging.

These decisions are then fed back into warehouse systems to adjust how goods are picked, sorted and packed.

Through analysing data on traffic patterns, delivery times and vehicle loads, AI tools can streamline how Amazon schedules its deliveries. 

This helps reduce the number of trips made, lowers fuel consumption and cuts CO2 emissions.

Kara Hurst, Chief Sustainability Officer at Amazon, explains how AI fits into the wider sustainability programme: “At Amazon, we’re pioneering AI applications to accelerate our decarbonisation efforts, including creating innovative solutions that further improve our buildings’ energy and water efficiency.

“This is just the beginning and I’m excited about all the ways AI can help us reach our goals.”

Amazon Web Services (AWS), the company's cloud computing branch, also contributes by offering infrastructure that is more energy efficient than standard data centres. 

According to Amazon, AWS facilities are 4.1 times more energy efficient, which in turn lowers the carbon footprint of AI operations run on its platforms.

Robotics, automation and generative modelling

Inside its warehouses, Amazon applies robotics and machine learning to handle sorting, picking and packaging.

AI-powered robotic arms and sorting machines adapt in real time to changes in demand or inventory, helping Amazon maintain speed while reducing waste.

The company has also launched Amazon Nova, a suite of AI foundation models designed to interpret and generate content across different media types.

Nova can process text, images and video and is used internally and externally to build more responsive systems.

Rohit Prasad, Senior Vice President of Amazon Artificial General Intelligence, outlines the model’s aims: “Inside Amazon, we have about 1,000 Gen AI applications in motion and we’ve had a bird’s-eye view of what application builders are still grappling with.

“Our new Amazon Nova models are intended to help with these challenges for internal and external builders and provide compelling intelligence and content generation while also delivering meaningful progress on latency, cost-effectiveness, customisation, information grounding and agentic capabilities.”

A long-term push towards net zero

AI supports Amazon’s logistics network in several ways, from predicting what customers want before they place an order to mapping the most fuel-efficient route for delivery.

These tools are essential to the company’s pledge to meet net zero by 2040.

The scale and complexity of Amazon’s supply chain make AI essential for meeting operational and sustainability targets. 

With more than 1,000 AI-driven applications already in use, the company shows no signs of slowing down its push towards a lower-carbon future.