Identify the best areas to locate your new Points of Sale
Sales forecast data model for site selection
85% model accuracy
Common use cases
Other companies are using this dataset for:
Consumer behavior analysis
Retail Site Selection
Demand and Revenue forecasting
This model aims to provide a clear understanding of the key factors that influence the profitability of a business in a given location.
This model helps identify the ideal areas for the location of new POS by measuring the impact of a set of variables at a geographic level on the sales of a particular type of business.
Featured attributes of the data
The model considers several key variables, including the number of pedestrians, traffic flow, resident population, income levels, and concentration of businesses. Furthermore, it is enhanced with data on the population’s interest in a particular topic, measured through their interactions on social media platforms.
The model evaluates all variables at the spatial grid level. It is possible to include existing points of sale and their respective revenue to estimate the billing of an additional POS in the best areas identified for a specific type of business. This extra information helps identify the ideal location for a new business.
- Update Frequency: Quarterly and Yearly.
- Data Delivery Methods: S3 Bucket, Rest API, Soap API and Feed API.
- Delivery Formats: JSON, CSV and SQL.
- Geographic Coverage: Europe (32 countries), North America (10 countries including US) and South America (6 countries including Brazil).
Data Sample & Dictionary
- Request a simple data sample here.
Looking for other kind of dataset?
No matter your data needs, there is something in our vast data base that can suit your needs. Plus, we can adapt to you specific requirements.
Why PREDIK Data-Driven?
We have more than 14 years of experience developing modern data mining techniques and generating data-driven solutions for corporations worldwide.
Leading organizations trust PREDIK’s data intelligence
Get high-value & actionable data insights
Schedule a 20-minute meeting with our experts to discuss your data requirements and develop a customized dataset.
Our data-driven methodology has helped some of the most important corporations in the US, Europe, Latin America, and Asia Pacific.