r4 Technologies

r4 Technologies (r4) is a developer of a software-as-a-service platform using artificial intelligence to provide a data science platform for business users. The company's platform uses both AI and machine learning that ingests and processes data across company sources to provide yield management insights. r4 delivers the company's solution as integrated products that run in the cloud and can be configured individually for customer use cases. The platform is also intended to be capable of providing users with predictions and recommendations for their business.

r4 was founded in 2015 by the founders of priceline.com, including Paul Breitenbach, and is headquartered in Ridgefield, Connecticut, with a presence in New York City, San Francisco, Austin, and Washington, D.C. European operations are headquartered in Dublin, with a further presence in Munich and London. The company serves more than twenty Fortune 500 companies and organizations across the retail, financial services, technology, and consumer packaged goods industries.

Example of r4 XEM's attribute model and the many dimensions of data that shape a market.

r4's XEM is a data mapping service, mapping all types of data, including internal and external, structured and unstructured, to r4's AI Market Model. This offers a representation of the people, places, and things comprising a user's market and business and cross-enterprise AI. This platform also works to discover new growth opportunities, such as programs and recommendations that can be implemented through a company's existing systems. The data the XEM platform ingests, either internal or external, allows users to add multiple sources, choose the attributes, and choose the levels of detail important to the business. In a retail example, the data attributes could include the following:

• Neighborhood demographics
• Neighborhood employment
• Nearby businesses
• Shopping patterns
• Consumer ratings
• Weather

The r4 Technologies AI and XEM platform offers cross-enterprise applications. This includes applications for loyalty, predictive supply, and hyperlocal channels. In loyalty, the applications include consumer microtargeting, contextual recommendation, personalized promotion, churn prevention, and unified loyalty. In predictive supply, the applications include sales and operating planning, predictive ordering, optimal replenishment, predictive logistics, and distributed inventory. And in hyperlocal channels, the applications include location targeting, localized assortment, new product information, on-shelf availability, and optimized promotion.