Passenger Flow Analysis: Display Is The Key To Catch Customers' Entry.

The biggest demand point of clothing brand analysis for passenger flow

1, accuracy rate

For clothing brand, the accuracy rate of passenger flow analysis software is relatively high.

It is understood that the current passenger flow analysis software on the market can not fully achieve the accuracy rate of 100%, usually achieving 90% accuracy rate has been quite good.

2. Integrate with ERP system.

At present, many clothing brands have adopted the ERP software in operation. When adopting the passenger flow analysis software, they hope that these software can integrate well with the previous ERP software. Through this integration, we can reduce the overall operation cost and improve the work efficiency, which is very important for the clothing enterprises to enhance the overall competitiveness.

For apparel enterprises, what can the passenger flow analysis software bring? Passenger flow analysis software can actually achieve many functions, and is relatively suitable for fast fashion brands and large scale shops. Its main functions include:

A, check whether the display is popular.

For clothing shops, commodities are the focus of display, and display is the means of selling the atmosphere of the store. The space designer is the stage of performance, and the combination of the three can become a perfect performance.

Using passenger flow analysis software, according to the passenger flow data, we can clearly see which areas have more passenger flow. In this way, according to the passenger flow data, we timely adjust the deployment of shop display and personnel, so as to provide convincing for your decision.

B, how many people do you need to attract the successful opening of the brand?

If the brand opens a new store, the passenger flow analysis software can check the passenger flow into the store and analyze the number of passengers needed to achieve the balance of payments, such as analyzing the shops that invest 1 million, and how many passengers need to attract every day to meet the profit.

C, help store positioning rent price

Through the statistics of passenger flow in different regions, we can help the shopping malls to determine the price level of counters and shops, and avoid the loss of reasonable rental income.

The same applies to shopping malls, and how much rent should be made, and how many passengers should be attracted every day to make profits.

D, help new store location

For brands, if a new sublet shop is taken over, the passenger flow analysis software (matching monitoring facilities) can help investors to analyze what kind of store they should open by passing through the flow of people and age levels.

E, check the flow rate and conversion level of each store.

Review the flow rate and conversion rate of each store, compare the similar stores, identify the business opportunities that can be improved.

Compare the sales performance of new and old stores, analyze the existing problems in the management of stores in conjunction with a number of KPI indicators (passenger volume, conversion rate, average store time, etc.), and put forward strategies and suggestions for substantive problems.

For a brand dealer, whether the marketing plan and the promotion plan are reasonable, we can not give the approval only from the turnover.

F, passenger flow statistics can provide accurate positioning for brand promotion and marketing strategy.

For a brand dealer, whether the marketing plan and sales promotion plan are reasonable, we can not accurately judge whether the activity will achieve the expected effect simply from the turnover. The passenger flow statistics here is particularly important, which can help businessmen conduct detailed analysis.

Looking back at the long-term accumulation of passenger flow statistics, we can help us locate and customize brand promotion activities more accurately and maximize the interests of businessmen.

The face recognition system will record the customers' image. If consumers first come to the mall, the store will remember according to the face recognition system. When the consumer is third or fourth times, the system will automatically prompt that any consumer buying anything will enter the shop 3-4 times, indicating that the desire to buy is very strong. The system can remind the salesperson that the consumer is the key sales target.

2009-2011 years of brand education period, the brand acceptance of this technology is relatively low, many do not understand, there are many, although there are needs in this area, but did not attempt.

In 2012, clothing brands and shopping malls greatly increased demand and trial in this area, especially in the market.