Post by rahim on Feb 1, 2024 12:07:49 GMT 1
GPS provide precise location data, so movement flows can be reconstructed in real time. With the Internet of Things, more and more location data is being collected and the analysis options are becoming better and more precise.Movement data from individuals, for example, provides information about purchasing behavior in stores. The data can be analyzed and examined for movement patterns. If the most common movement patterns of customers are known, products can be positioned optimally.In addition, the movement data in conjunction with data on the products purchased can provide valuable.
Information about the customer's consumption behavior. For DB to Data example, a customer always buys the same products in the same shop on Monday evening, but suddenly no longer buys them. With the help of location intelligence and geofencing, we can send the customer a marketing email as soon as they walk past the shop and draw their attention to the range and the store with personalized product recommendations.If a customer wants to expand their customer base in a certain age group, targeted marketing emails can be sent to all customers in the corresponding age group who are near the shop.
The classic example of location intelligence is location assessment. A wide variety of factors are taken into account when evaluating a company's location. For example, supply chains should be as short as possible and the location should be as close as possible to the customers. With Location Intelligence you can calculate and quantify these factors and thus determine the best possible location.A market or location analysis gives you information about the expected location profitability before you open a business or expand your branch network. Georeferencing customer locations and your own sales locations (also called “sales mapping”) can also quickly provide an overview of where many customers are and where a new or additional branch location might be worthwhile.
Information about the customer's consumption behavior. For DB to Data example, a customer always buys the same products in the same shop on Monday evening, but suddenly no longer buys them. With the help of location intelligence and geofencing, we can send the customer a marketing email as soon as they walk past the shop and draw their attention to the range and the store with personalized product recommendations.If a customer wants to expand their customer base in a certain age group, targeted marketing emails can be sent to all customers in the corresponding age group who are near the shop.
The classic example of location intelligence is location assessment. A wide variety of factors are taken into account when evaluating a company's location. For example, supply chains should be as short as possible and the location should be as close as possible to the customers. With Location Intelligence you can calculate and quantify these factors and thus determine the best possible location.A market or location analysis gives you information about the expected location profitability before you open a business or expand your branch network. Georeferencing customer locations and your own sales locations (also called “sales mapping”) can also quickly provide an overview of where many customers are and where a new or additional branch location might be worthwhile.
