Brave New World Of Retail: Walmart’s Robots Are Just The Beginning
Brave
New World Of Retail: Walmart’s Robots Are Just The Beginning
Joan
Verdon Jan 14, 2020, 07:00am
It’s
a refrain heard repeatedly at this week’s National Retail Federation trade show
and convention: Let the robots do what they do best, and free up human
employees to do what they do best.
And
the retail industry has decided that what robots do best (and what humans are
bad at) is spotting when bottles of shampoo are sold out, or cans of soup are
in the wrong place, and keeping track of when store shelves need to be
replaced.
A
clear sign that shelf-scanning robots and other automated inventory tracking
systems have reached the tipping point came Monday with the news that Walmart
is expanding its use of shelf-scanning robots to another 650 of its stores,
bringing the number of robot-assisted Walmart stores to 1,000.
A
number of other companies at the show also were showing off their versions of
scanning robots, including Badger Technologies, a division of tech corporation
Jabil; and Savioke, which has partnered with Brain Corp to add shelf-scanning
capabilities to its floor cleaning and hospitality robots.
One
company, Gather.ai, is demonstrating an inventory-counting, camera-equipped
drone designed to scan boxes on warehouse shelves.
Even
more exhibitors are displaying automated shelf scanning systems that use
cameras mounted on shelves to monitor inventory levels combined with software
that analyzes the information collected by the camera to alert store employees
when shelves need to be restocked.
“Instead
of spending time on your schedule looking for problems, you can start fixing
them. You become data driven,” he said. “Now, when the [work] shift shows up
they already know what problems need to be solved.”
Store employees get a list of problems found by
the robot – out of stocks, misplaced products, pricing mistakes. The list,
Skaff said, is organized by severity of the problem, “so you hit the biggest
first, and you improve your store fast.”
Does
Skaff envision his robots evolving to where they can restock the shelves
without the help of a human? No, says Skaff. That wouldn’t be a smart use of
the robot’s time, because restocking shelves is something humans are way better
at.
“In
restocking a shelf, it would be competing with a human and a human is uncannily
good at picking and placing,” Skaff said. “Robots have a long way to go before
they will be good enough to compete with a human at restocking a shelf.”
Instead,
Bossa Nova plans to concentrate on supplying more information to retailers
about what the robots do best – scanning and recording and memorizing
information such as how quickly a brand of soda sells out, or which shelf
placement produced the most sales, or other data about the physical environment
in the store.
Bossa
Nova, which was born in Pittsburgh, grew out of Carnegie Mellon’s Robotics
Institute. It now has offices in San Francisco, Pittsburgh, Bentonville,
Arkansas, Mountain View, California, Leetsdale, Pennsylvania, and Sheffield,
England. It started as a toy company, producing robotic toys, and switched to
retail robots in 2012.
Intel
introduced Bossa Nova to retail tech executives in 2013, hosting the company at
the retail show in 2013.
“In
2013, nobody had a robot in a store or an inkling of a robot scanning the
shelves,” Skaff said. Bossa Nova initially had a hard time convincing investors
that there was a future in inventing technology to help brick-and-mortar
stores. In 2013, 2014, 2015, he said, everyone thought Amazon would kill off
brick and mortar—“until Amazon bought Whole Foods. That changed the
conversation,” Skaff said.
Now,
Bossa Nova and other retail tech companies are changing the conversation again.
And the result is, this year, at the retail show, the country’s largest
retailers are talking about their plans to use robots, artificial intelligence,
computer vision, and machine learning as a way to let their human staff do what
humans do best, and connect with other humans – their customers.
Comments
Post a Comment