Retailers, investors and other organizations need to have access to accurate and up-to-date information on new construction activity to make informed business decisions. This can be difficult to obtain and analyze without access to reliable data sources.
Ask Wire’s machine learning model identifies new construction activity, making it possible for organizations to identify how each city is growing, potential supply of new buildings/stock, and other important information. The elevator company is using this information to identify where new high rise buildings are being built, proactively marketing its elevators to them when they break ground. A retailer is using this data to identify cities’ growth pattern in order to project forward where to buy land for future development of supermarkets. A developer is using this data to identify available sites for development.
Benefit / ROI
By using Ask Wire’s machine learning model, retailers, investors and other organizations can access accurate and up-to-date information on new construction activity, which can help them make informed business decisions. This can help the elevator company increase its sales by proactively identifying new high-rise buildings, a retailer can identify the best location to expand and open new supermarkets, and a developer can identify the best locations to build new properties. Additionally, this information can be used to identify potential growth patterns of a city and make predictions on how it will grow in the future.