Shopper

Shopper.com provides an integrated platform for bloggers, creators, and affiliate marketers to manage and monetize shopping recommendations. It features a hosted, SEO-optimized content management system for affiliate content. Capabilities include link management with alerts and Amazon localization, access to 30,000+ brand partnerships, AI-powered content creation, and product displays for conversion.

Founded in 2018 by Sonu Bubna and Manoj Krishnapillai, Shopper.com emerged from the insight that content creators needed a streamlined path to monetize recommendations. They sought to simplify affiliate link management and brand partnerships, offering a unified solution empowering publishers to efficiently convert digital influence into income.

The platform serves global content creators and affiliate marketers aiming to amplify earnings from product recommendations. Shopper.com’s vision is to be the leading ecosystem for digital commerce enablement, continually refining its tools and network. The company empowers creators to seamlessly transform recommendations into revenue.

High-Level Overview

Shopper AI is an Israel-based retail technology startup founded in 2018 that builds AI-powered computer vision software to analyze anonymous shopper behavior in physical stores using existing CCTV cameras[1][3]. It serves brick-and-mortar retailers and global brands like Coca-Cola, Nestlé, and P&G by solving the data gap between in-store retail and e-commerce, delivering actionable insights on customer profiles, decision-making processes, and personalized recommendations to optimize marketing, product placement, and in-store experiences[1][3]. The company has demonstrated strong growth momentum, securing pilots that convert to year-long contracts, raising $7 million across rounds, and preparing for Series A while expanding to the U.S. market with GDPR-compliant, privacy-focused tech stored locally on retailer systems[1][3].

Origin Story

Shopper AI was founded in 2018 by Lanor Daniel (CEO) and Sivan Friedman Joseph (Chief Product Officer), two women entrepreneurs leveraging expertise in AI and retail tech[1]. The idea emerged from recognizing the disparity in data analytics: e-commerce benefits from tools like Google Analytics for clicks and A/B testing, while physical retailers lacked equivalent insights into shopper journeys[1][3]. Early traction came from deploying patented algorithms tracking hand movements and seven behavioral variables (e.g., via jewelry, wrinkles, size) to infer demographics and motivations without face tracking[3]. Pivotal moments include partnerships with Israeli giants like Coca-Cola and supermarket chain Victory, plus investors such as Mobileye founder Amnon Shashua, leading to full contracts from every pilot and U.S. market entry in 2022[1][3].

Core Differentiators

• Privacy-First Computer Vision: Uses existing in-store cameras to anonymously track hand movements and shopper intentions, inferring profiles (e.g., impulse buyers vs. brand loyalists) without storing faces or raw data—GDPR-compliant with SQL outputs only[1][3].
• Actionable Insights Dashboard: Provides "store clusters" analysis across categories and regions, revealing decision trees for tailored strategies like product offerings and pricing[1][3].
• Proven Scalability: Patented tech integrates seamlessly into CCTV; every pilot becomes a year-long deal, with global brands already onboard and expansion to a "number two in the world" retailer[3].
• Women-Led Innovation: Focuses on scalable features post-R&D, bridging online-offline data gaps faster than traditional research[1][3].

Role in the Broader Tech Landscape

Shopper AI rides the AI-driven retail analytics wave, capitalizing on post-pandemic demand for omnichannel data as physical stores recover and compete with e-commerce giants[1][3]. Timing is ideal amid rising computer vision adoption (e.g., similar to Mobileye tech) and privacy regulations like GDPR, enabling non-intrusive insights when consumer data scrutiny peaks[3]. Market forces favoring it include retailers' push for personalization—27% of shoppers prefer AI recommendations—and the $45B+ shopper insights sector's shift to real-time, affordable tools over slow surveys[3][6]. It influences the ecosystem by empowering brands to optimize in-store experiences, potentially standardizing behavioral AI for global chains and accelerating hybrid retail tech.

Quick Take & Future Outlook

Shopper AI is poised for explosive growth via Series A funding and U.S./global penetration, targeting major retailers with its plug-and-play model amid AI retail investments surging[3]. Trends like predictive analytics and edge AI will amplify its edge, evolving it from insights provider to full optimization platform influencing shopper ecosystems worldwide. As the data gap closes, Shopper AI could redefine brick-and-mortar as data-rich as online, turning anonymous cameras into revenue engines for retailers everywhere[1][3].