Highly effective Occupancy Sensing with Kaidu for Retail

Retail stores have always relied on various methods to measure traffic and understand the patterns of their customers. From video cameras to infrared sensors, there are a plethora of options available to track the number of people entering and exiting a store. However, with the increasing emphasis on privacy and data protection, it is becoming increasingly important for retailers to use privacy-compliant people counters to measure traffic.

One such option is Kaidu.AI’s privacy-compliant scanners. These scanners use wireless signal technology to accurately track the number of people in a store, without the need for any personal identification or data collection. This ensures that the privacy of customers is protected while still providing valuable data for retailers.

One of the main benefits of using privacy-compliant people counters is the cost-effectiveness of their installation and maintenance. Video-based counters can be expensive to install and maintain, with the costs of cameras, storage, and monitoring adding up quickly. In contrast, Kaidu.AI’s scanners can be easily and cost-effectively integrated into a store’s operations, with installation taking less than 5 minutes and minimal maintenance required.

Another advantage of using Kaidu.AI’s scanners is their accuracy. IR and thermal counters are known to be highly inaccurate, with some studies showing that they can be off by as much as 50%. In contrast, Kaidu.AI’s scanners are more than 90% accurate, providing retailers with reliable data on the number of people in their store.

Having accurate occupancy data can provide numerous benefits for a retail store’s business operations. It can help improve sales by identifying peak traffic times and ensuring that there are enough staff and products available during these times. It can also help to reduce labour costs by allowing retailers to schedule staff more efficiently, ensuring that there are not too many or too few employees working at any given time.

Having occupancy data can also help retailers to find the right products to display and promote. By understanding which times of day are busiest, retailers can target their promotions and displays to reach the most potential customers.

In conclusion, retail stores should consider using privacy-compliant people counters like Kaidu.AI’s scanners to measure traffic and improve their business operations. The cost-effectiveness and accuracy of these scanners make them a viable option for retailers looking to protect their customers’ privacy while still gaining valuable insights into their store’s traffic patterns. By understanding when their store is busiest, retailers can make informed decisions about staffing, promotions, and product displays, leading to increased sales and reduced labour costs.