Analytics Apparel Social 
TechCrunch
MARCH 22, 2021
TryNow — which provides technology to online retailers that use Shopify Plus to let their customers receive and try out apparel, return what they don’t want and pay only for what they keep — has raised $12 million, funding that it will be using to continue expanding its business.
TechCrunch
FEBRUARY 16, 2022
Voila , a startup building infrastructure for social commerce, is bringing concepts from China’s e-commerce market to the U.S. But often, their followers who want to buy the item in question have to leave the social media app and go to Google to search for the product. Image Credits: Voila. Voila offers an improved solution.
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TechCrunch
MARCH 24, 2023
In March 2021, Snap acquired Fit Analytics to further its AR-fueled move into e-commerce. Snap isn’t the only company that has been investing in AR-powered commerce, however, as Pinterest and Google have also leveraged AR to allow shoppers to try on makeup, apparel, and accessories. and Canada in the Amazon iOS app.
Altexsoft
NOVEMBER 11, 2019
Too many factors, from weather fluctuations to posts of social media influencers, impact buyers, making them frequently change their minds. Let’s compare the existing options: traditional statistical forecasting, machine learning algorithms, predictive analytics that combine both approaches, and demand sensing as a supporting tool.
CIO
FEBRUARY 22, 2023
For others such as Brian Ferris, chief data, analytics, and technology officer at loyalty, marketing, and data analytics consulting firm Loyalty NZ, leading IT abroad was about “gaining huge value in seeing different issues and learning different ways of approaching problems, something that can’t be learnt out of a book.”
Openxcell
APRIL 14, 2020
A world is full of e-commerce where services and experiences matters, as a shopper, I will expect that everything should be offered to me from communication to their social media images for clarity and trust to the items delivered the same as shown on the website. Customized and Shoppable Social Media Feed.
Altexsoft
NOVEMBER 11, 2019
Too many factors, from weather fluctuations to posts of social media influencers, impact buyers, making them frequently change their minds. Let’s compare the existing options: traditional statistical forecasting, machine learning algorithms, predictive analytics that combine both approaches, and demand sensing as a supporting tool.
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