Shopin’s Retail Intelligence Engine exceeds projections in Q2 2019 with over 4BN purchase data transactions and 200MM bought-with connections to generate predictive actionable recommendations for retail.

Shopin’s CTO Georgi Gospodinov and CEO Eran Eyal release latest Retail Intelligence Data Engine results exceeding 4BN purchase data transactions and 200MM bought-with cooccurrences representing over $400BN in online retail sales value tracking 90,000 brands.


Brooklyn, New York, Aug. 01, 2019 (GLOBE NEWSWIRE) -- Brooklyn, New York: In Q1 2019, Shopin announced the solution to the lack of access to purchase data from all retailers ranging from Amazon, eBay to Macy’s, Nordstrom, Coach, Michael Kors and more, in the form of the Retail Intelligence Data Engine.

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, brand or product upon each other, no matter where that product is sold. 

Shopin’s CEO Eran Eyal describes R.I.D.E. as a “Purchase Data Omniscience Engine”.

Eran Eyal delves deeper: “In the past, only companies like Amazon have had sufficient purchase data to know which products to promote, recommend with each other, or which products to create. It’s important to note that 35% of Amazon’s revenue comes from their purchase data powered recommendations. That’s 17% of the United State’s total eCommerce revenue! We found a way to democratize and decentralize this data as well as over 80% of U.S. fashion e-commerce in scale. We don’t just deliver the data, we give you the predictive actionable recommendation.”

Shopin released Q2 2019 figures that exceeded projections:

  • 4BN+ Purchase data Transactions (value of over $400BN)
  • 200MM+ product/ SKU coocurrences
  • 300MM+ SKUs identified and tracked
  • 150,000 Brands tracked


ShopIn brings a global perspective to retailers through an industry-wide transaction data fabric and unique analytics platform which leverages proprietary Visual AI and NLP technology. The interaction of their proprietary Visual Artificial Intelligence and Natural Language Processing models enables unique capabilities for the depth and breadth of their analysis and knowledge.

Professor Goergi Gospodinov, Shopin’s CTO shares “This comprehensive data fabric and analytics engine use the global customer behavioral footprint to deliver extraordinary levels of personalization in our recommendations and uniquely custom strategic insights.”

“This approach complements and extends the ability of each retailer to understand their customers in the context of global trends. Retailers are thus best positioned to leverage their internal data and extend their knowledge and understanding of their customer base to the entire industry.”, states Gospodinov.

Shopin projects Q3 advances in R.I.D.E. to encompass over 95% of U.S. fashion e-commerce and to extend to a large part of U.S. brick and mortar fashion industry. 

“It is the first time that the world of retail has access to each other’s purchase data insights, or a global view of purchase data behavior without having to share the figures to a provider like us or directly to each other. R.I.D.E.’s data and insights are the lifeblood of the next generation in retail personalization, recommendations, supply chain management decision making, consultancy, hedging, and product creation.”

Shopin recently shared evidence online showing strong interest from a significant number of major brands, retailers, shopping malls, technology, marketing and data providers, to even hedge funds and traders reaching for access. They are offering free 3-month trial pilots to select customers for a limited time.

(Apply to pilot with Shopin by clicking here)


About Shopin:


Shopin’s mission is to transform the retail web into a decentralized Amazon-like model through decentralization of purchase data, our proprietary artificial intelligence tools, and blockchain approach. We are driven to ensure that timeless brands have the opportunity and tools to remain timeless and help emerging brands become timeless.

Shopin is a universal shopper profile, built on the blockchain and powered by our proprietary artificial intelligence tools, which delivers shoppers the most personal experience in every site and app, as well as in-store, by working with retailers to give shoppers control of their purchase data. 

When shoppers own the best of their data, we can enable retailers to advertise directly to the shopper, who gets 85% of the ad revenue to spend back in the world of retail through the Shopin and branded tokens.

Recently Shopin launched the Retail Intelligence Data Engine which leverages more than 3.5 billion purchase data transactions, 30 million SKU connections and 71,000 brands, to democratize and decentralize the forecasting and recommendation power of e-commerce giants to the rest of the retail economy.

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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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, brand or product upon each other, no matter where that product is sold. 

Ride is powered by over 4BN purchase data transactions and 200MM bought-with cooccurrences representing over $400BN in online retail sales value tracking 90,000 brands.
Shopin demonstrates how Coach products are sold in Amazon, Bloomingdales and Nordstrom as well as which brands and products are statistically most sold with their own products, all the way down to the SKU level.

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