Lean Flow in Retail: Amazon’s On-Demand, Custom Clothing Effort
Posted: May 3, 2017 Filed under: Performance improvement | Tags: Amazon, clothing, lean flow, retail, Zara 5 CommentsFor several years firms such as Zara were the best examples of applying principles of lean flow to clothing retailing such as shorter lead times through simplified processes that allowed for less inventory and increased responsiveness to actual customer demand.
Now Amazon is working hard to push further into the clothing sector. It is arguably a much more difficult challenge than books or music. Clothing is more fragmented and there is the issue of overcoming both the resistance to buying something you can’t try on first and the costs of free returns that online shops had to offer to overcome those concerns.
But Amazon is exploring an approach that embraces the penultimate lean flow approach — custom-made clothing.
According to The New York Times
Amazon has developed a camera and scanning software designed to automatically determine customers’ measurements and upload them to their accounts, according to the person familiar with Amazon’s apparel talks, who saw an early prototype of the device.
The source said the device resembled a camera product that Amazon announced last week, Echo Look, the latest in a line of gadgets powered by the company’s Alexa intelligent assistant.
Amazon has described the device as a kind of digital fashion adviser, allowing people to upload photographs of themselves to get style recommendations through a combination of software algorithms and human fashion specialists. The company declined to say whether the device would be updated in the future to capture clothing sizes for customers.
Amazon has filed a patent for an on-demand clothing manufacturing system. I don’t know if it is a joke or an indication of intent, but notice how in the drawing below there’s just one human-looking object, and that might even be a robot designed to look human. I have no doubt that, in terms of economics, the goal is to build this custom clothing process to operate entirely without humans.
The process starts when customers submit online orders to the retailer for shirts and other articles of clothing, accessories, bedding, curtains and towels. The patterns, printed onto rolls of fabric or other material, are arranged to reduce scrap.
A “cut engine” then carves out the various pattern pieces, while cameras analyze them to make sure they aren’t being distorted in the process.
A robotic arm with a mechanical gripper places all the pieces into a tote on a conveyor belt.
The conveyor belt delivers the totes to a sewing station, where “an attendant and/or automated sewing machine” stitches the item together. The items are then examined at a quality control station, packed up and shipped to customers.
The link below is a clip about Amazon and their impact on Brand Building and retail. It’s a pretty long clip (24 mins) but I found the whole thing interesting. He really gets into the amazon impact at about the 10 min mark. 52% of households now have amazon prime 3% more than have a home phones.
https://www.l2inc.com/scott-galloway-how-amazon-is-dismantling-retail/2017/blog
Excellent clip – thanks Brandon.
I really enjoyed Scott Galloway’s presentation… delivery as well as content… eye-opening. Thanks for the link, Brandon! Would love to connect with you on LinkedIn: https://www.linkedin.com/in/rod-morgan-59a6aa1/
Thanks for the article, Bruce. A very interesting reading. Man! I am reminded of Alvin Toffler’s “Future Shock” published in… 1970! As an “old dude”, the future is rushing in… I wonder if this is how my mother and father felt? Wishing you an Brandon a very safe and happy 2017. cheers, Rod.
Hi Rod: by coincidence I did a short piece on Future Shock:
https://xray-delta.com/2016/07/11/future-shock/
because it is still very relevant, especially his focus on how increasing sensory and informational rates of flow meet the limitations of human cognitive capacities resulting in stresses that have mental and physical health consequences as well as consequences for the quality of our decision-making.