Products> People Counting> AI-Powered People Counter> High Accurate People Counting Device For Retail Store
High Accurate People Counting Device For Retail Store
High Accurate People Counting Device For Retail Store
High Accurate People Counting Device For Retail Store
High Accurate People Counting Device For Retail Store
High Accurate People Counting Device For Retail Store
High Accurate People Counting Device For Retail Store

High Accurate People Counting Device For Retail Store

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    • Payment Type: L/C,T/T,Paypal
    • Incoterm: FOB
    • Transportation: Ocean,Air
    Description
    Product Attributes

    Model No.PC8-A

    BrandOP Retail

    MaterialPlastic

    Packaging & Delivery
    Selling Units: Piece/Pieces
    Download:
    Supply Ability & Additional Information

    TransportationOcean,Air

    Place of OriginChina

    Payment TypeL/C,T/T,Paypal

    IncotermFOB

    Company Video
    OP Retail People Counting Introduction
    00:33
    OP Retail - walk-in / out / Group Counting
    00:15
    OP Retail - Adult / Child / Gender / Age / Staff
    00:27
    Product Description

    Description

    Retail stores can effectively utilize People Counting devices with features such as group counting, child and adult differentiation, staff exclusion, gender recognition, and queue management to boost sales and observe the impact of marketing campaigns on store entry rates.

     

    Firstly, People Counter provide small retail stores with valuable insights into their footfall and entry rates. By accurately counting the number of visitors, these devices allow store owners to understand customer traffic patterns, identify peak hours, and allocate staff resources accordingly. This ensures that the store is adequately staffed during busy periods, leading to improved customer service and increased sales opportunities.

     

    The group counting feature of people counting devices is especially beneficial for small retail stores. It allows them to analyze the size of customer groups entering the store. This information helps store owners design marketing campaigns and offers tailored specifically to group shoppers. For example, if the data reveals a significant increase in group footfall, stores can introduce group discounts or incentives to attract and cater to this particular customer segment.

     

    and adult differentiation is another valuable feature of people counting devices for small retail stores. By accurately distinguishing between children and adults, stores can gain insights into the of their visitors. This information can help them customize their product offerings, marketing messages, and store layouts to better cater to their target audience.

     

    Staff exclusion is a crucial aspect of people counting devices for small retail stores. By excluding staff members from the count, stores can obtain a more accurate representation of customer traffic. This is particularly important for assessing the impact of marketing campaigns on attracting real customers rather than including employee movements in the count.

     

    Gender recognition capabilities provided by people counting devices offer small retail stores the ability to analyze and understand the gender distribution of their customers. This data can be used to inform marketing strategies, optimize product assortments, and create a personalized shopping experience based on gender preferences and buying behaviors.


    In summary, small retail stores can leverage people counting devices with features such as group counting, child and adult differentiation, staff exclusion, gender recognition to boost sales. People Counting Analytics provide valuable data and insights into footfall patterns, demographics, and customer behavior, enabling store owners to assess the impact of marketing campaigns on store entry rates. By utilizing the information provided by devices, small retail stores can optimize their operations, the shopping experience, and drive business growth.




    Features:

    Support People Counting, Staff Exclusion, Child & Adult Differentiation, Group Counting, Age and Gender Recognition

    200 MegapixelSupport POE

    Support for Clientele Group Analysis, Local device De-duplication

    Data Security, Close-Loop Local Detection and Comparison Process

    Compact size, Support Ceiling installation


    Technical Specs:


    People Counting

    Accuracy:  ≥95%(Test Environment)

    Library Storage:  30,000 Pics

    Detection Density:  30 Pics










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