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Heatmap

Helps to optimize product placing and increase revenue based on the purchasing activity analysis

The main features
How it works
Areas of use

What the VEZHA module can do:

  • VEZHA Heat map helps to check the people flow in the store, mall and analyze the customer activity
  • Displaying hot and cold areas based on customer flow
  • Provides a full image of store and mall
  • Helps with placing of products on shelves to attract customers
  • Provide information about most visited places in the store
  • Measurement of traffic flow for retail and security.
  • Reports: day, week, month, preferred period.

Worth to know

A heat map is used for placing the products and analyze the customer activity in stores, malls and public places

The product is designed to collect and store a series data:

  • Data from CCTV cameras are processed by a special algorithm
  • The algorithm measures the intensity of the flow of people passing through the control zones
  • A heat map is formed, which shows the intensity and density of the client flow in different periods of time.
System requirements
  • .01
    CPU Intel Core i5-5575 and newer
  • .02
    MEMORY, RAM 200M
  • .03
    HDD 600Kb per day
  • .04
    OPERATING SYSTEM Ubuntu 18.04
  • .05
    NETWORK 10Mbit

A heatmap can be used to:

  • Planning the zoning of outlets, stores, malls.
  • Definitions of “red” visited areas and “cold”- less visited areas.
  • Definitions of in-demand products.
  • The ability to understand which of zones are profitable and which are ineffective in the store.
  • Improvements in the quality of the layout of the retail space.
  • The ability to analyze the activity of customers.

Recommended use

Use a heatmap to analyze buying activity and increase profits

Interested in using the product?

Our partner team will help you order, customize and use it. Fill out the form, click the Submit button — and within 60 minutes get all the answers about the questions related to using the module for your business, company, institution or organization

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