A New
Property Type

retailOS is the operating system for a new asset class—the four-time patented Shopping Fulfillment Center—that transforms underutilized shopping centers into dynamic, multi-use assets by fusing traditional retail with integrated last-mile fulfillment and logistics. Leveraging AI-driven analytics, it enables smaller, efficient stores to optimize inventory use for both in-store and online orders, boosting tenant profitability and enhancing property values. For consumers, this innovative model delivers a seamless shopping experience with reduced fulfillment costs, next-day shipping, and convenient local pick-up options.

Diagram of future-proof mall anchor boxes with layout, storage, fulfillment, and pickup areas, including labels for store leases, access points, drive-up, and anchor system details.

Benefits of retailOS

retailOS has benefits to traditional retailers, e-commerce sellers, fulfillment operators, real estate owners, and of course consumers.

  • INCREASED RETAILER PROFITABILITY: Stores sizes can be reduced, while on-hand assortment is increased. This allows for lower occupancy costs, while increasing sales.

  • GREATER PROPERTY VALUE: Smaller stores and higher sales allows for landlords to house a more diverse tenant mix and charge higher rents per square foot, resulting in higher NOI and greater property values.

  • EASY EXPANSION INTO RETAIL: E-commerce brands can position stock across the country close to their consumer. They can pop-up stores within retailOS at no up front cost because they can use the same inventory for in-store and online, have a robust national fulfillment infrastructure and handle customers and returns on a local level.

  • REDUCED FULFILLMENT COSTS: Shipment of individual products originates from retailOS locations, allowing for next day shipping at the lowest cost, and allows for pickup. Additionally, retailOS reduces empty legs for trucking, reducing fulfillment costs.

Features of retailOS

  1. retailOS integrates online and in-store shopping, eliminating data silos to create a cohesive online-offline experience.

  2. retailOS enables landlords and shopping center operators to offer a frictionless retail experience with seamless navigation and one checkout across multiple physical stores.

  3. Leveraging AI and machine learning, retailOS personalizes shopping experiences and optimizes inventory, ensuring the right products are available in the right sizes and amounts.

  4. retailOS enhances in-store, outdoor and online advertising, reducing marketing costs by accurately targeting customers (permission granted) user behavior, including shopping, browsing, and life patterns, to serve the best-targeted advertising and improve overall shopping experiences.

  5. The platform integrates data from various sources to create a comprehensive shopper attribution model for accurate marketing measurement and optimal merchandise allocation.

  6. retailOS optimizes in-store product display space for maximum sales impact, allowing for smaller store sizes to save on rent while increasing aggregate property rent for property owners.

  7. retailOS keeps the right products on hand for retailers by continually updating inventory data and integrating robotics for efficient fulfillment and same-day delivery.

  8. The platform can be tailored with levels of service and guidance customized to the needs, size, and stage of each company, from large corporations to providing a turnkey infrastructure to emerging brands.

  9. retailOS is projected to amplify market revenues by 2.4 times, reduce customer acquisition costs by 50%, and save significantly on merchandise returns.

  10. retailOS founders plan to deploy the platform at scale by acquiring and enhancing shopping centers with innovative concepts, improving the sales, efficiency, and profitability of existing tenants.

Meet the Advisory Team

  • Headshot of a man with short brown hair, wearing a light blue collared shirt, smiling slightly against a plain background.

    Ryan Wolfe

    CO-FOUNDER & PRESIDENT

  • A woman with shoulder-length curly red hair, wearing glasses, a gray sweater, and a gold necklace, smiling at the camera.

    Rebekah Kondrat

    RETAIL

  • A man with light skin, glasses, brown hair, and a beard, wearing a gray blazer over a white dress shirt, smiling at the camera.

    Matt Powers

    WAREHOUSING

  • Portrait of a man with short dark hair, wearing a dark suit, light blue shirt, and patterned tie, smiling against a blue background.

    Rick Parker

    SUPPLY CHAIN

  • Portrait of a smiling man with short blond hair, blue eyes, and a beard, wearing a black blazer and white shirt, standing indoors against a dark wall.

    Will O'Donnell

    VENTURE & REAL ESTATE

  • A woman with dark wavy hair, smiling, wearing a white perforated sweater, sitting on a light brown chair in front of a white paneled wall.

    Najla Kayyem

    PLACEMAKING

  • A woman with curly brown hair wearing glasses and smiling, with a blurred background.

    Lisa Morales-Hellebo

    VENTURE & SUPPLY CHAIN

  • A man wearing a black T-shirt and an orange baseball cap standing in front of a wooden wall.

    Brian Laung Aoaeh

    VENTURE & SUPPLY CHAIN

  • A man with short dark hair, wearing glasses, a dark blazer, and a white shirt, smiling in front of a dark gray background.

    Rick Watson

    TECHNOLOGY

  • A smiling man with gray hair wearing a dark blazer and light blue shirt, standing indoors.

    Chris Walton

    RETAIL INNOVATION