From robotics to artificial intelligence, here's how Amazon gets its products to Houstonians in record time. Photo by Natalie Harms/InnovationMap

How Amazon's Houston fulfillment center uses AI technology and robotics to move millions of products

Prime time

Last summer, Amazon opened the doors to its North Houston distribution center — one of the company's 50 centers worldwide that uses automation and robotics to fulfill online orders.

The Pinto Business Park facility has millions of products in inventory across four floors. Products that are 25 pounds or less (nothing heavier is stocked at this location) pass through 20 miles of conveyor belts, 1,500 employees, and hundreds of robots.

The center also has daily tours open to the public. We recently visited to see for ourselves the process a product goes through at this Houston plant. From stowing to shipping, here's how packages go from your shopping cart to your front porch.

Starting with stowing 

Natalie Harms/InnovationMap

A product's first step in an Amazon facility is stowing. There's no categorization of the products — it's not like there's one floor for one type of item or anything.

"It's completely randomly stowed," says Donna Beadle, PR specialist for Amazon. "She could be stowing cat food on this floor, and so could somebody on floor two."

An Amazon employee would scan an item and stow it into an empty bin of her choosing — sort of. To prevent confusion, a light projected indicates bins that are off limits to stow the item. The light identifies bins that have similar products. Keeping similar products apart helps prevents mistakes for the employee who later pulls those items once its ordered.

The system also sees where the employee is putting each item, rather than having to scan each item and the bin as well. This is a newer feature — the facility originally opened with hand-held scanners.

"Our next generation workstation is that they don't have to hold that scanner — they have hands free," says Brenda Alford, regional communications manager at Amazon.

Robots on the move

Once the bins are fully stocked, the robot — which is the orange device on the bottom of the yellow bins — moves about the facility by scanning QR codes on the floor.

Should a product fall out, an employee wearing a special vest can enter to retrieve it. That vest will send off a signal to the robots, which will then decrease their speeds and come to a stop when the employee comes close.

"It's an extra measure of safety so that people can interact with the robots and feel safe," says Beadle.

Picking before packing

Natalie Harms/InnovationMap

Once an item is ordered, the bin with that item appears in the pick process at the center. The system tells the Amazon employee which item to grab and which bin to put it in. The bins will have products for multiple different orders — another employee later will separate it out later.

"Often we describe it as a symphony — our technology and our associates working together," Alford says, noting that sometimes the company might receive criticism about using robots over humans. "We can't do this without these humans.

Amazon employees receive their benefits from day one on the job, Beadle says, and they work four, 10-hour days a week.

"We feel like that way they have more time with their families — they get three days off versus two days off. And that gives them time to heal and rest up," she says.

Bin to bin and back again

Natalie Harms/InnovationMap

Once full, the Amazon associate will push the bin onto a series of conveyor belts. The whole facility has 20 miles of conveyor belts — much of which happens overhead.

The bins then zigzag toward the pack process, which is separated to different stations. There are single-product stations and multiple package stations. The system determines where the bin should go, and some stations pack products that are determined to need packing materials, while others do not.

Single-product packaging

Natalie Harms/InnovationMap

At the packing process, the Amazon employee is told which size box to assemble — he or she can grab a bigger box, but they can't select a smaller one. The tape dispenser doles out the correct size of tape for that box automatically.

Once packaged up, a sticker with a barcode is placed on the box. This code will later be used to print the label for shipping. At this point in the process, no personal information has been revealed to anyone. In fact, most packages leave the facility without any personal information being viewed by employees.

In an effort to reduce packing materials, some products are shipped in the container they came in. In that instance, the packer would just place the barcode sticker on the package before sending it on the conveyor belt.

"If we don't need another box for that product, we don't use one," Beadle says. "We work with companies to make that happen, so we don't have to use more boxes if we don't have to."

SLAM 


While the robotics aren't slamming labels on packages, the SLAM process (short for scan, label, apply and manifest) is the first step in the process that includes a customer's personal information. During this process, the barcode is scanned, the package is weighed, and the label is printed and affixed to the package using a puff of air.

A package might be automatically pulled from the line if something seems to be off in the package's weight.

"Say you bought toothpaste, and it says that toothpaste weighs 20 pounds, we know something's wrong," Beadle says. "Like maybe that it was a pack that didn't get separated."

If the package is kicked off, an Amazon associate, called a problem solver, will assess the situation and make it right before returning it to the conveyor belt.

Kicked into gear

Once labeled, all the packages are sent on their final conveyor belt ride. Using a scanning process, the packages are kicked by an automated foot that sends them into a line to be loaded into an Amazon truck.

If a package misses its chute the first time around, it makes the loop again. The system can tell if a package is caught in the loop for whatever reason, and a problem solver might be called to assess the situation.

Down the slide

Natalie Harms/InnovationMap

After being kicked off the belt, the package then slides down a spiral chute that, despite looking like a playground slide, is off limits to any humans wanting to keep their job.

"People ask if you can go down the slide, and we always say that on your last day of work," Beadle jokes.

On to the shipping process

Natalie Harms/InnovationMap

The packages leave the facility in Amazon trucks and head to one more pit stop before making it to the customer.

"They don't go directly to your house after this process," Beadle says. "They go to a sortation center."

This could mean a USPS or UPS stop, but it depends on where the customer lives.

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Houston wearable biosensing company closes $13M pre-IPO round

fresh funding

Wellysis, a Seoul, South Korea-headquartered wearable biosensing company with its U.S. subsidiary based in Houston, has closed a $13.5 million pre-IPO funding round and plans to expand its Texas operations.

The round was led by Korea Investment Partners, Kyobo Life Insurance, Kyobo Securities, Kolon Investment and a co-general partner fund backed by SBI Investment and Samsung Securities, according to a news release.

Wellysis reports that the latest round brings its total capital raised to about $30 million. The company is working toward a Korea Securities Dealers Automated Quotations listing in Q4 2026 or Q1 2027.

Wellysis is known for its continuous ECG/EKG monitor with AI reporting. Its lightweight and waterproof S-Patch cardiac monitor is designed for extended testing periods of up to 14 days on a single battery charge.

The company says that the funding will go toward commercializing the next generation of the S-Patch, known as the S-Patch MX, which will be able to capture more than 30 biometric signals, including ECG, temperature and body composition.

Wellysis also reports that it will use the funding to expand its Houston-based operations, specifically in its commercial, clinical and customer success teams.

Additionally, the company plans to accelerate the product development of two other biometric products:

  • CardioAI, an AI-powered diagnostic software platform designed to support clinical interpretation, workflow efficiency and scalable cardiac analysis
  • BioArmour, a non-medical biometric monitoring solution for the sports, public safety and defense sectors

“This pre-IPO round validates both our technology and our readiness to scale globally,” Young Juhn, CEO of Wellysis, said in the release. “With FDA-cleared solutions, expanding U.S. operations, and a strong AI roadmap, Wellysis is positioned to redefine how cardiac data is captured, interpreted, and acted upon across healthcare systems worldwide.”

Wellysis was founded in 2019 as a spinoff of Samsung. Its S-Patch runs off of a Samsung Smart Health Processor. The company's U.S. subsidiary, Wellysis USA Inc., was established in Houston in 2023 and was a resident of JLABS@TMC.

Elon Musk vows to launch solar-powered data centers in space

To Outer Space

Elon Musk vowed this week to upend another industry just as he did with cars and rockets — and once again he's taking on long odds.

The world's richest man said he wants to put as many as a million satellites into orbit to form vast, solar-powered data centers in space — a move to allow expanded use of artificial intelligence and chatbots without triggering blackouts and sending utility bills soaring.

To finance that effort, Musk combined SpaceX with his AI business on Monday, February 2, and plans a big initial public offering of the combined company.

“Space-based AI is obviously the only way to scale,” Musk wrote on SpaceX’s website, adding about his solar ambitions, “It’s always sunny in space!”

But scientists and industry experts say even Musk — who outsmarted Detroit to turn Tesla into the world’s most valuable automaker — faces formidable technical, financial and environmental obstacles.

Feeling the heat

Capturing the sun’s energy from space to run chatbots and other AI tools would ease pressure on power grids and cut demand for sprawling computing warehouses that are consuming farms and forests and vast amounts of water to cool.

But space presents its own set of problems.

Data centers generate enormous heat. Space seems to offer a solution because it is cold. But it is also a vacuum, trapping heat inside objects in the same way that a Thermos keeps coffee hot using double walls with no air between them.

“An uncooled computer chip in space would overheat and melt much faster than one on Earth,” said Josep Jornet, a computer and electrical engineering professor at Northeastern University.

One fix is to build giant radiator panels that glow in infrared light to push the heat “out into the dark void,” says Jornet, noting that the technology has worked on a small scale, including on the International Space Station. But for Musk's data centers, he says, it would require an array of “massive, fragile structures that have never been built before.”

Floating debris

Then there is space junk.

A single malfunctioning satellite breaking down or losing orbit could trigger a cascade of collisions, potentially disrupting emergency communications, weather forecasting and other services.

Musk noted in a recent regulatory filing that he has had only one “low-velocity debris generating event" in seven years running Starlink, his satellite communications network. Starlink has operated about 10,000 satellites — but that's a fraction of the million or so he now plans to put in space.

“We could reach a tipping point where the chance of collision is going to be too great," said University at Buffalo's John Crassidis, a former NASA engineer. “And these objects are going fast -- 17,500 miles per hour. There could be very violent collisions."

No repair crews

Even without collisions, satellites fail, chips degrade, parts break.

Special GPU graphics chips used by AI companies, for instance, can become damaged and need to be replaced.

“On Earth, what you would do is send someone down to the data center," said Baiju Bhatt, CEO of Aetherflux, a space-based solar energy company. "You replace the server, you replace the GPU, you’d do some surgery on that thing and you’d slide it back in.”

But no such repair crew exists in orbit, and those GPUs in space could get damaged due to their exposure to high-energy particles from the sun.

Bhatt says one workaround is to overprovision the satellite with extra chips to replace the ones that fail. But that’s an expensive proposition given they are likely to cost tens of thousands of dollars each, and current Starlink satellites only have a lifespan of about five years.

Competition — and leverage

Musk is not alone trying to solve these problems.

A company in Redmond, Washington, called Starcloud, launched a satellite in November carrying a single Nvidia-made AI computer chip to test out how it would fare in space. Google is exploring orbital data centers in a venture it calls Project Suncatcher. And Jeff Bezos’ Blue Origin announced plans in January for a constellation of more than 5,000 satellites to start launching late next year, though its focus has been more on communications than AI.

Still, Musk has an edge: He's got rockets.

Starcloud had to use one of his Falcon rockets to put its chip in space last year. Aetherflux plans to send a set of chips it calls a Galactic Brain to space on a SpaceX rocket later this year. And Google may also need to turn to Musk to get its first two planned prototype satellites off the ground by early next year.

Pierre Lionnet, a research director at the trade association Eurospace, says Musk routinely charges rivals far more than he charges himself —- as much as $20,000 per kilo of payload versus $2,000 internally.

He said Musk’s announcements this week signal that he plans to use that advantage to win this new space race.

“When he says we are going to put these data centers in space, it’s a way of telling the others we will keep these low launch costs for myself,” said Lionnet. “It’s a kind of powerplay.”

Johnson Space Center and UT partner to expand research, workforce development

onward and upward

NASA’s Johnson Space Center in Houston has forged a partnership with the University of Texas System to expand collaboration on research, workforce development and education that supports space exploration and national security.

“It’s an exciting time for the UT System and NASA to come together in new ways because Texas is at the epicenter of America’s space future. It’s an area where America is dominant, and we are committed as a university system to maintaining and growing that dominance,” Dr. John Zerwas, chancellor of the UT System, said in a news release.

Vanessa Wyche, director of Johnson Space Center, added that the partnership with the UT System “will enable us to meet our nation’s exploration goals and advance the future of space exploration.”

The news release noted that UT Health Houston and the UT Medical Branch in Galveston already collaborate with NASA. The UT Medical Branch’s aerospace medicine residency program and UT Health Houston’s space medicine program train NASA astronauts.

“We’re living through a unique moment where aerospace innovation, national security, economic transformation, and scientific discovery are converging like never before in Texas," Zerwas said. “UT institutions are uniquely positioned to partner with NASA in building a stronger and safer Texas.”

Zerwas became chancellor of the UT System in 2025. He joined the system in 2019 as executive vice chancellor for health affairs. Zerwas represented northwestern Ford Bend County in the Texas House from 2007 to 2019.

In 1996, he co-founded a Houston-area medical practice that became part of US Anesthesia Partners in 2012. He remained active in the practice until joining the UT System. Zerwas was chief medical officer of the Memorial Hermann Hospital System from 2003 to 2008 and was its chief physician integration officer until 2009.

Zerwas, a 1973 graduate of the Houston area’s Bellaire High School, is an alumnus of the University of Houston and Baylor College of Medicine.