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Amazon’s Massive Distribution Network in One Giant Visualization

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Amazon's Massive Distribution Network in One Giant Visualization

Amazon’s Massive Distribution Network in One Visualization

View the high resolution version of today’s graphic by clicking here.

Last year, Amazon shipped over 5 billion (with a “B”) Prime packages, and the retail giant’s ecommerce market share in the U.S. is on the verge of surpassing 50%.

Moving that kind of volume takes an impressive amount of technical sophistication, manpower, and distribution infrastructure. While Amazon does lean on third parties for deliveries and warehousing, the company is also building an increasingly expansive distribution network in an attempt to manage the entire process.

Today’s visualization, which uses comprehensive data from MWPVL International, examines the estimated 124 million square feet of active space in the U.S., as well as the 40 million in Amazon’s construction pipeline.

To create our graphical footprint of Amazon’s warehouses in the infographic, we’ve used satellite imagery of every Amazon facility in the U.S. and stitched it all together.

Pieces of the Puzzle

There are a few types of facilities that make up the vast network of Amazon’s warehouses:

Crossdock Centers
Containers from foreign vendors can be held at a crossdock facility until more stock is needed at the fulfillment center. This is the back-end of the distribution chain.

Fulfillment Centers
Fulfillment centers are the most common type of facility in Amazon’s distribution empire, but they serve a wide variety of purposes.

Amazon began building its distribution network in 1997, starting with two fulfillment centers in Seattle and Delaware. The two spaces would be tiny compared to today’s standards at 93,000 and 202,000 square feet, respectively. Now, there is nearly 100 million square feet of active fulfillment center space, with another 35 million on the way.

Sortation Centers
These facilities are responsible for sorting packages by zip code which are then typically delivered to USPS sites. Since being introduced in 2014, sortation centers have allowed Amazon to speed up the delivery process and to help control the distribution process up to “the last mile”.

Delivery Stations
In urban areas, delivery stations are often the last step in the chain before packages reach a customer. Courier companies – and increasingly Amazon Flex drivers – typically handle these short-range deliveries. These stations are often located near airports.

Prime Now Hubs
These smaller locations are specifically designed for speed. Prime Now hubs carry a more limited selection of items – including Whole Foods inventory – that are delivered within two hours of clicking “buy”. There are currently around 50 of these facilities in urban areas around the United States, but that number is expected to increase dramatically in the near future.

Prime Air Hub
Amazon doesn’t own its own airport yet, but the recently announced $1.5B international Prime Air Hub is a step in that direction.

The 210-acre parcels will help Amazon expand its Prime Air fleet while reducing its reliance on companies like UPS and FedEx. Kentucky is a natural choice for the hub as there are already 11 fulfillment centers in the state.

Fighting for the Last Mile

Over the years, Amazon has optimized every aspect of the distribution system, but one final hurdle remains.

Conquering the last mile – the final leg before a package reaches its destination – has proven tricky, in part because USPS already has a well-honed strategy for delivering to all the nation’s residents.

The company’s earnest recruitment drive for Amazon Flex is the latest in a long line of attempts to decrease reliance on third parties for package delivery. Also, by tapping into on-demand labor, Amazon hopes to reduce costs and have more flexibility during volume surges like Black Friday.

This desire to own the entire process is being reflected in the company’s roster of distribution facilities. The massive fulfillment centers aren’t going anywhere, but we may see a lot more smaller delivery hubs in cities and towns across America.

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Charted: The Jobs Most Impacted by AI

We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.

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Charted: The Jobs Most Impacted by AI

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.

In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.

Data and Methodology

To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.

With this analysis, researchers were then able to estimate how AI would impact different occupational groups.

DepartmentLarge impact (%)Small impact (%)No impact (%)
IT73261
Finance70219
Customer Sales671617
Operations651817
HR57412
Marketing56413
Legal46504
Supply Chain431839

In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.

Where AI will make the biggest impact

Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.

Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.

Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.

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