Analytics Apparel Social Software Review 
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.
Xicom
FEBRUARY 27, 2023
They have a wide range of product categories that include apparel, footwear, accessories, and electronics. Idealz also uses analytics and AI to optimize its business model. Product reviews: Customers can leave reviews on products they purchased which helps others to make informed purchase decisions.
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Strategy Driven
SEPTEMBER 26, 2023
Yotpo: Boost Customer Reviews and Loyalty Yotpo is your go-to plugin for customer reviews and ratings. It enables you to collect and showcase product reviews, photos, and Q&A. Social integration and customisable widgets make it easy to build trust and engagement with your audience.
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.
Zensar
FEBRUARY 13, 2020
Besides chipping away at your pocket, returned goods are also impacting the environment adversely due to a shortage of space and resources to handle it. However, they also agree that while returns are integral to driving sales, they also lead to significant losses, primarily due to the high costs of reverse logistics management.
Altexsoft
JUNE 6, 2019
Grocery shopping has been evolving from being a fully social activity to faster purchase gathering and checkout experience with little to no interaction with the store staff. A visitor, with an opened Amazon Go app, scans a QR code on a turnstile to enter a store (like at an airport to get on board) and picks up what they need.
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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