• Rakuten Catalog Platform

    Provide Enriched Item/Catalog data to improve search, recommendation etc. to realize much better user experience Rakuten catalog platform, another major section of Data Platform Department, provides enriched catalog data to improve search, recommendation etc. to improve user experience. The group…
  • Data Platform

    On a mission to collect, enrich, and provision company wide data with appropriate data governance The key focus areas of data platform section are to collect data from various sources inside and outside Rakuten, manage them in a centralized repository,…
  • Communication & Energy Consulting

    Provide consulting through AI/Data solutions to C&E Company, especially Rakuten Mobile business This group of consultants in the data science consulting section aims to provide AI/data-based solutions for the Rakuten Mobile business. Rakuten Mobile Network is the world’s first fully…
  • Fintech consulting

    Empower Fintech businesses and accelerate monetization by realization of the Data Value Chain Fintech consulting group is another section of data science consulting department that solve pain points for fintech businesses of Rakuten by providing them solutions based on Rakuten’s…
  • Strategic consulting

    Empower Rakuten’s businesses by accelerating monetization by realizing the value of data The strategic business consulting group in the data science consulting division has the goal to empower Rakuten’s businesses by devising an accelerated monetization strategy using data and AI.…
  • Moonshot Initiatives

    Strategic initiatives by Rakuten for developing technologies for the future There is a dedicated group of research scientists driving strategic AI initiatives in Rakuten Institute of Technology who envisage and give form to some of the strategic bets of Rakuten.…
  • Vision Program Initiatives

    Provide a frictionless image based experience using advanced computer vision research The mission of vision group, a part of Rakuten Institute of Technology, is to use advanced computer vision research for automation and new service creation. This group consists of…
  • Language Program Initiatives

    Create structured product data using AI The language program is another vertical of Rakuten Institute of Technology. This group comprises of AI researchers who are specialized in natural language processing techniques. The goal of this group is to convert the…
  • Customer Program Initiatives

    Deep customer understanding to improve Rakuten membership value Customer program consists of a group of research scientists specialized in customer research and analytics. The mission of this group is to know more about the customer using available data and predict…
  • PITARI

    PITARI: The intelligent A/B testing and personalization platform PITARI is one-stop personalization platform contributing to the growth of business value through targeting, A/B testing, and personalization. By using PITARI, Rakuten provides personalized contents to users. Not only providing one static…
  • AIris

    AIris: The AI powered lookalike model for customer acquisition AIris is AI Marketing Agent which empowers marketers to acquire new customers more efficiently, utilizing Rakuten's membership data and science. One of the uniqueness of Rakuten data is that we have…
  • Voice services – Devices

    AI based Voice services – Devices for superior customer experience Some Rakuten AI has been understanding customer voices. Using natural language recognition and processing technology, if you ask something with your voice, AI will provide answer via chat. Customers even…
  • Conversational AI

    Conversational AI for optimized customer engagement and efficient operations Various Rakuten conversational AI solutions have served customers both directly and indirectly. Being led by Chatbots, many of the customers find answers to their inquiry instantly. Only in case customer cannot…
  • Email/Push Notification

    Email/Push Notification for improved campaign management and customer satisfaction For marketers to achieve the ideal marketing, Rakuten provides multiple easy-to-use solutions such as campaign management and message delivery platform. These solutions, through appropriate communication channel, help maximizing customer engagement and…
  • Inferred Attributes

    Inferred, or predicted, customer characteristics, using machine learning techniques Inferred attributes are formed using machine learning technology, which enables us to understand the customers’ various statuses. Representative attributes are Life stage, Lifestyle, Working status, Financial status, etc.
  • Factual Attributes

    Behavioral data from Rakuten ecosystem or membership registration data Factual Attributes are formed with only “Fact” data such as users’ service usage data (e.g. purchase history) and registration data. Representative attributes are general demography, interest, affinity, shopping behavior in Rakuten…