Topsort Launches Toppie, Top Optimizer, and In-Store Journey to Revolutionize Retail Media

Topsort, an AI-driven retail media infrastructure company, announced three major product launches at its inaugural Topsort Developer Day 2025. The new offerings—Toppie, Top Optimizer, and In-Store Journey—are designed to democratize advanced retail media technologies and bridge online-offline experiences for marketplaces and retailers.

Toppie: Programmatic Retail Media Exchange for Effortless Campaigns

Toppie is a sponsored listings ad exchanger built to simplify and scale retail media buying. Key features include:

  • Simple Retail Media Buying with Transparent ROI: Toppie enables brands and agencies to run sponsored listings and display campaigns across a global network. Retailers can monetize unused ad inventory and attract new demand instantly.
  • AI-Powered Bidding Engine: Campaigns leverage AI bidding strategies to meet objectives at minimal cost, with unified reporting and standardized attribution.
  • Access to a Global Retail Media Network: Through Toppie, advertisers can bypass fragmentation and run campaigns across listings and display, using AI for budget optimization, creative adaptation, and catalog management.

“Toppie aims to resolve the standardization and fragmentation issues within retail media. By simplifying campaign execution and increasing efficiency, it’s poised to accelerate the industry’s growth toward becoming a $200 billion market,” said a Topsort spokesperson.

Top Optimizer: AI-Powered Toolkit to Elevate Ad Marketplace Performance

Top Optimizer is a modular AI toolkit that helps large ecommerce companies optimize their in-house ad networks. It offers:

  • Marketplace Optimization Toolkit: Features include machine learning-based bidding, contextual ad retrieval, forecasting, and a tunable auction system to maximize revenue and ad quality.
  • Custom Monitoring and Alerts: The toolkit supports real-time alerts via email, SMS, Slack, and other channels, ensuring key metrics stay within defined thresholds.
  • Competitor Benchmarking: Built-in analytics help ad teams benchmark against industry standards and identify areas for improvement with actionable insights.

“With Top Optimizer, we’re putting Silicon Valley-grade ad tech into the hands of ecommerce and retail teams worldwide,” said Regina Ye, CEO and co-founder of Topsort. “Our goal is to help them compete with giants like Amazon and Google by focusing on performance and scalability, not technical bottlenecks.”

In-Store Journey: Privacy-Friendly Offline-to-Online Retail Media Attribution

In-Store Journey bridges physical and digital retail experiences by digitizing anonymized in-store data. Key features include:

  • Digitized In-Store Beacon Data: Uses anonymized beacon and Bluetooth signals to map in-store behavior and match it with online signals for a full customer journey overview.
  • Built with Retailers and Computer Vision: Developed in collaboration with national retailers and Topsort’s own computer vision lab, this feature achieves 70% prediction accuracy on consumer behavior.
  • Offline Attribution and Insights: Enables in-store to in-store attribution and enhances first-party insights from brick-and-mortar locations.

“By integrating first-party in-store data into digital attribution models, retailers now gain actionable insights from physical locations,” noted Ye. “It’s a breakthrough that allows forecasting and performance tracking in retail media like never before.”

Francisco Larrain, CTO and co-founder of Topsort, added, “In-Store Journey is a clear example of our mission to empower retailers with cutting-edge, privacy-safe technology that rivals big tech’s capabilities.”

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