Ameya Profile picture
20 Jul, 23 tweets, 5 min read
Use of AI to predict trends isn't really new. However, many still question on how realistic AI can model the trend. Well, it depends on the algo of course. But something came up in my reading & I was intrigued to dig deeper! It is about #SHEIN
Ask any female if they have heard about an app called Shine, and the answer will be an instantaneous yes. The app has taken fashion world by storm & the infatuation is simply explosive. To be honest, I too know Shein, well of course, for obvious reasons 😄
Shein in some numbers:
* Accounts for 28% of the US fast fashion sales
* Revenue has grown 100% each year since last 8 years
* Outpaced H&M, Zara & many more big brands
*Design to production time is just 3 days!
* Adds 1000s of inexpensive SKUs daily!
* Daily app download 650k
Company is social media marketing machine with super powerful AI enabled tech platform that scrapes through internet to determine rapidly changing fashion trends. Company knows young audience & their tastes extremely well.
For certain keywords, #shein literally kills the search results. To try it out myself, I googled - Women's Clothing. I am in Germany, look at the results. Image
Almost similar results for - Women fashion key word Image
Company has truly touched the heart of its customer - they have developed a whole fashion community, host a tons of events, supports many buddying fashion influencers. Something like - Emily In Paris?
Still, the biggest win for Shine is nothing from these. But one key thing - It has made Amazon look expensive. With design to production time of less than 3 days, outrageous shipping time, Shine is beating amazing left, right, and center
There is a literally #addictedtoshein trend that is forever on going on twitter. Have a look -…
Ranks #1 on iOS app in over 56 countries already. Piper sandler lists them just next to Amazon.…
Coming to back to the technology, Shien has something called as Real-Time Retail which was not a retail category until Shine shined on the horizon. They analyze trends in real time & within 3 days, stuff is available to be shipped out globally.
Shine scores at one more front - Bhaiyya aur variety dikhao OR kuch aur hai kya? A simple t-shirt has 120+SKUs on their platform. Aur kitna dekhoge?
Zara was the 1st fast fashion brand we know & we alos know how its owner is world's richest person. Shine has outpaced Zara by miles. What is in the offing here?
#Shine A/B tests a few hundred thousand SKUs in real-time. Orders are updated to a few 100 factories in real-time based on insights their AI model gathers based on user interaction on internet, website, and app
The AI algo feeds data from google, twitter, tiktok, YT, Insta, and many more social media platforms. Feeds this to their analytics platform that spews out real-time trends. Which then goes to vertically integrated factory units that produces products. Everything in just 3 days.
The ad campaigns are also automated completely. New products gets added to ad-funnel at a rapid pace
Despite of its Chinese origins, Company doesn't sell a thing in China. But sells it to 220+ countries. Shine doesn't have a team of designers. All they have is sewing machine & an AI that spews trends & designs.
Shine's success also has a common thread with our own company #Dmart. Shine is one of the rarest of Chinese companies that paid people on time. All suppliers, vendors, everyone got paid in real-time.
Everything is about KPIs & monitoring everything in real-time. Every aspect of supplier/vendor relationship is automated. Requires no human involvement what so ever.
100s of undigitized factories are now plugged in to Shine's digital platform that tracks everything using a SCM software called JanePie.…
Shine follows what Amazon did with book - dominate the customer need through a single high inventory turnover category, use that to expand vertically & then horizontally.
Let's accept - the next gen people don't prefer to shop from a website. The native app traffic is on the rise & it is going to go only up from here. Shine has combined its Chinese manufacturing dominance with Tech to become something very big.
Basically, it brings best of the tech, best of retail, best of manufacturing, best of logistic together. The tech is changing how companies do business. Every business is now tech enabled. Like I always say - tech is a horizontal, not a vertical anymore!

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More from @Finstor85

22 Jul
Let's try to understand why technology product companies have historically been non-sequential in QoQ growth. Some call it cyclicality, some called it nature of the business. I will try to clarify a few things in this thread.
To understand this, you have to look at how software as evolved over last decade or two. We have moved on from bulky software that needed on-premise installations to cloud today. Naturally, revenue realization practices have changed too.
Historically, license sell for a large bulky on-prem software used to result in non-sequential growth for technology product companies. Revenue realization used to be jerky. One Q will have huge revenue, while other could be poor.
Read 20 tweets
15 Jul
A lot of you requested me to post a thread on #LTTS. I did not find time, neither had motivation to do since it is a complex business to cover via something like Twitter thread or even a newsletter. Here I am posting only some abridged views.
I hold Both #LTI & #LTTS from IPO. I am an ex-LT/LTI so have a bit of sneak peak into company as well. Last 2+ years have been terribly bad for LTTS. Not because they did something wrong, but because of external factors.
ER&D space is a bit different than traditional IT. The revenue realization cycles are longer. Contracts are stickier but hard to come by as well. Unlike IT, ER&D is close to sectoral automation at frontline. IT plays role via software, but ER&D is much close to real automation
Read 25 tweets
18 Jun
I did a thread on #Newgen already so if you are new to this space, pl go through previous thread before you continue with this one. Here it is -
I am super bullish on this space. We covered #Newgen & its context for growth previously, but the story is only emerging. There is not much coverage on the low-code space yet. People do understand tech/IT, but low-code is new to people in India, but globally it isn't the case.
SAP recently acquired AppGyver which is in "No-Code" segment. However, SAP acquired it as a value addition to its "Low-Code" offerings. So that's a clear sign that SAP is very bullish on "Low-Code" segment. We did discuss briefly about it in initial thread.
Read 31 tweets
28 Feb
Lot of folks asked me how to exit a commodity stock. Here is one small reckoner list: pl note these are not exhaustive reasons I exit a commodity stock.
1. Follow commodity prices on LME spot & future contract values
2. Usually, LME warehouse stock levels give you hints much in advance. If warehouse stock is rising then check two things - spot price & capacity coming on stream
3. Follow historical cycle & correlate with total capacity available. Is the spread of spot and future widening?
4. When commodity cycle peaks, companies run out of capacities. Look for capacity utilization insights given by managements.
Read 6 tweets
11 Feb
After getting good feedback on yesterday's thread on #routemobile I think it is logical to do a bit in-depth technical study. Place #twilio at center, keep #routemobile & #tanla at the periphery & see who is each placed.
This thread is inspired by one of the articles I read on the-ken about #postman API & how they are transforming & expediting software product delivery & consumption, leading to enhanced developer productivity.
We all know that #Twilio offers host of APIs that can be readily used for faster integration by anyone who wants to have communication capabilities. Before we move ahead, let's get a few things cleared out.
Read 11 tweets
10 Feb
So I have been studying this entire communication layer as its relevance is ever growing with more devices coming online, staying connected, and relying on real-time communication. Not that this domain under penetrated, but there is a change underway.
As per many publicly available research, The Communications Platform-as-a-Service (CPaaS) Market was valued at USD 4.54 billion in 2020 and is expected to reach USD 26.03 billion by 2026 and register a CAGR of 34.3% during the forecast period (2021 - 2026).
Read 21 tweets

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