We combine technology (3D camera, Bluetooth, Wi-Fi) to analyze, organize and visualize shopper behavior data at the point of sale.
The solution we offer provides our customers with different types of information about what is happening at their points of sale. The traffic and behavior of the public is collected, measured and analyzed through different sources.
Know how many shoppers walk through the door of the store to know what the potential is.
Know how many shoppers enter the store to know the conversion rate at the entrance.
Measure the efficiency of marketing campaigns and window display communication (how many people entered before vs. after the change in window display communication).
Number of people entering, exiting, and passing through the store window with 98% accuracy.
To understand how effective the stores are, it is necessary to know not only the volume of sales, but also how many customers generated those sales.
Optimize the amount of human resources in accordance with the traffic throughout the day/week.
Identify the highest and lowest selling stores and analyze in-store performance for benchmarking.
Increase sales opportunities by pinpointing those hours in which each store drives the highest traffic
Tracking and recording customer’s traffic and actions in the stores in real time. Understand where they are spending time and where they are shopping.
Repositioning and replacing products with low customer appeal more effectively.
Discover the most heavily visited sectors, make decisions on product display, layout, lighting and on-shelf positioning.
Increase the efficiency of promotions and profit margins by analyzing the success of events, campaigns, and different media. Access to information by hour, day, week, month and year.
Tracking and recording customer’s traffic and actions in the stores in real time. Understand where they are spending time and where they are shopping.
Based on a staff-recognition system, the number of actual shoppers on the premises can be ascertained by deducting the number of employees from the total number of visitors.
Measure how attractive a new product is and which products are efficient when placed in different areas.
Increase the efficiency of promotions and profit margins by analyzing the success of events, campaigns, and different media. Access to information by hour, day, week, month and year.
Knowing the average time a customer visits the store. Measurement of the success of marketing campaigns and in-store activities, based on the increased time in the store and sales.
By knowing the frequent customers, it gives us the possibility to perform specific Marketing and Customer Loyalty actions for those customers.
Know exactly how many customers return to the store and how often. Convert a first-time visitor into a repeat customer.
Counting how many people are in each line and measuring average waiting time. Definition of optimal line length and waiting time according to each store.
By measuring the average waiting time, action can be taken to minimize time and reduce attrition.
By measuring the number of people in each line in real time, we can take actions and allocate staff accordingly to offer an excellent shopping experience to the customer.