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Shopin's Professor Georgi Gospodinov offers Amazon, eBay and big retail purchase data revealing projections beyond $1TN

R.I.D.E. (Retail Intelligence Data Engine) is a patent-protected innovation from Shopin’s team that has extracted and reverse-engineered the purchase data of online retailers from their websites and it measures the strength of influence of each retailer,

R.I.D.E. (Retail Intelligence Data Engine) is a patent-protected innovation from Shopin’s team that has extracted and reverse-engineered the purchase data of online retailers from their websites and it measures the strength of influence of each retailer,

Shopin estimates over 98% of United States's ecommerce and 20% of brick-and-mortar retail industry purchase data to be unveiled.

We are excited to have also launched our Series A equity funding round, and are looking forward to getting the fuel we push through to go to the next phase and beyond.”
— Eran Eyal, CEO and Founder

BROOKLYN, NEW YORK, UNITED STATES, October 23, 2019 / -- Building on previous releases, Shopin's Retail Intelligence data Engine data fabric and artificial intelligence continue to reach a new heights. Expanding to incorporate over a dozen more retail brands and adding new layers of depth to their Amazon and eBay insights, Shopin's R.I.D.E. and ShopScore products are positioned to provide all consumer-centric fashion retail companies a fighting chance in personalization, marketing and business intelligence.

The Retail Intelligence Engine™, delivers a never-before seen global view of retail’s purchase data by acquiring and reverse engineering purchase data from retail brand websites. The platform produces ShopScore™: a quantitative scoring model which measures the strength of influence each brand or product have over each and their category, whilst providing actual recommendations with predictions.

R.I.D.E.’s aggregated purchase data view of the world of retail delivers these recommendations programmatically to power a revolution in accuracy for personalization, advertising, marketing and apps. Retail brands, consultants, funds and traders also may leverage business intelligence reporting to make better quantitative-driven decisions and recommendations.

Georgi Gospodinov, Shopin’s CTO, projects that by the end of 2019, the data fabric will provide:

- $1TN of purchase data transactions represented

- 500MM connections between 350MM SKUs

- 350K brands tracked

- 98% of US eCommerce and 20% of brick-and-mortar covered

Along with these projections, Shopin reveals that over 30,000 lines of code have been written this year powering ShopScore and R.I.D.E., and includes an overview of their underlying technology stack.

Eran Eyal, Shopin’s CEO and founder shares, “You cannot deny the stats. Retail is in the midst of an apocalypse, and the lack of purchase data in scale as an oracle is at the core of not understanding the customer across baskets and retail brands. The customer has all access to retail, while the brands have limited access to the customer. Only mega-retailers like Amazon have enough purchase data and technical sophistication in enough scale. So much so that 35% of their revenue (17% of US eCommerce) is driven by this data. We are revealing all of retail’s purchase data, including theirs, to level the playing field. This will be the backbone of Retail 3.0.”

Shopin invites technology-driven businesses, brands, and consultancy companies to partner and pilot with them, as well as investors to contact them here:

About Shopin:

Shopin is dedicated to ensuring that timeless brands can remain timeless. We leverage groundbreaking artificial intelligence, blockchain, distributed networks and learnings from incredible ecommerce giants like Amazon and Alibaba to bring consumers closer to the brands they love, whilst enabling them to control their data more securely than ever before.

We have two core products:

ShopScore - aka Retail Intelligence Data Engine, where we have invented a patent-protected technical methodology to acquire and reverse engineer the purchase data insights of Amazon, eBay, Macys, Coach and many other major retailers to deliver unparalleled personalization and actionable recommendations for multiple divisions within the brand/ retailer.

Shopin - aka ShopChain™, which is our longer term vision for consumers to own and control their purchase data to drive the most personal experience in every site, app and store, with a cryptocurrency to reward shoppers for engaging with ads, marketing and loyalty campaigns.

Shopin’s approach is to firstly create a massive data fabric decentralizing the retail industry’s purchase data and the underlying tools to interpret that data into actionable recommendations available through retorts and an API feed.

This data fabric is the core of ShopScore, and of ShopChain’s ability to make recommendations and personalization at heretofore unforeseen accuracy and performance with even minimal data as the entire retail industry’s purchase data is driving the results.

ShopChain’s unique architecture which combines an asynchronous, asymmetrical DHT and Blockchain ensures that the retailer and shopper’s data is highly performant, yet incredibly secure.

The Lead named Shopin as retail’s “Moonshot of the Year” in the Leading 100. Shopin is the winner of BTC Miami (North American Bitcoin Conference), CoinAgenda Global and Bitcoinference 2018.

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Introducing Shopin's Retail Intelligence Data Engine and ShopScore, offering Amazon, eBay and big retail purchase data as an oracle

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