Food Street Passenger Flow Statistics Solution

Food Street is an indispensable part of urban life. It has always been one of the most popular places in nightlife. However, with the booming development of the take-away industry in recent years, the popularity of the Internet, and the constant renewal of people's consumption concepts, the current flow of food street people has become more serious. The original management mode and marketing model of Food Street have been seriously impacted and challenged.

The escort company provides a new passenger flow management solution for food street management companies, helping enterprises to actively study the habits and regularities of tourists, tap potential growth points, seize opportunities, and lead merchants to develop together.

The main source of income for the food street management company that day is still the rent of the merchant. Rent levels and occupancy rates are the core indicators that determine the income level of food court companies. The most important factor in determining the rent level and occupancy rate is popularity. From a certain point of view, the core job of the food street management company is to manage the popularity, gather people as much as possible, and encourage them to consume. And our commercial passenger flow system is to help enterprises, using big data to monitor the popularity, study its potential consumer groups, to discover the potential laws of consumers. Based on these rules, we will improve our marketing strategy to increase our popularity.

Similar to the supermarkets in the supermarket, the food street mainly monitors the flow of people at two locations. Different food streets will have great differences. Some need to be diverted from the first floor to the third floor of the second floor, and some need to be diverted to other branch merchants. The position of the test can be adjusted at any time as needed. The installed binoculars statistical system can monitor the changes in passenger flow to major entrances, elevators, stairs, and important brand stores. With a wealth of data, it is possible to scientifically deploy passenger flow and guide visitors to the designated location.

Users can directly see the results of the analysis in the background: automatic analysis from hours, days, weeks, and months. Users can intuitively see when the time when consumers enter and exit will be concentrated. What date? Then you can see that in recent weeks, consumers have traveled, and the concentration has risen and fallen. It is also possible to watch the flow changes from a farther time scale.