A store's location directly impacts supply, profits, marketing, and almost every other aspect of store performance. Much can be learned from the performance of different types of retail stores in different neighborhoods, countries, or even climate areas. Therefore, retailers use geospatial data machine learning models to plan store locations and predict profits.
Apartment rental prices are influenced by various factors. The aim of a house or apartment rent prediction model is to analyze the different features of an apartment and its surroundings to generate the most suitable price for rent.
Mobile app development entails more than just crafting an attractive and simple user interface (UI) for established customers; it involves designing a secure app that uses very little RAM yet is compatible with different devices. A particularly well-developed app should also be capable of scaling to meet customer demand as your company grows.
Established in 2013, the Arabesque Group is a leading global financial technology company that combines AI with environmental, social and governance (ESG) data to assess the performance and sustainability of corporations worldwide. In addition to their Asset Management consultation service, the groups offers Arabesque S-Ray GmbH and Arabesque AI Ltd. datasets.
Black Box Intelligence Consumer Intelligence
Data sets (0)
Black Box Intelligence Consumer Intelligence is designed to provide detailed analysis on individual competitor sales and performance data.
Home by Vendigi
Data sets (1)
Home by Vendigi provides audience data for all things home buyers, remodelers, and sellers. Their data comes from first-party sources like top multiple listing systems (MLSs) major brokers like RE/MAX, Coldwell Banker, Century 21, and Sotheby's.
Users of Vendigi's Home data range from home and garden retailers to insurance institutions to telecom companies.