Retail Video Analytics

Make Your Store A Smart Store

A highly specialised video analytics platform for Industry 4.0. We at Agrex.ai take extreme care of our stakeholder’s germane shopping experience by providing them with paramount security with highly efficient tech-enabled video analytics systems guided by extremely efficient AI to further the process of technology-oriented smart retail video security systems.

AIVIS Video Analytics systems are now at the brink of bringing transformation and change in the video analytical industry by introducing distinctly efficient AI-enabled products for retailers, malls, and shops to not even safeguard the showrooms rather the AIVIS Video analytics comes with an array of solutions to make your store smart and efficient.

Our team at Agrex.ai believes in high-tech security but with a glimpse of Artificial Intelligence, which can probably change the landscape of the video analytical industry.

Using an AIVIS video analytics system a retail store owner can analyze from which section the maximum customers shop from by the data given by our Heatmap, which uses AI to understand and foresee the crowd based on demographics like age and gender.

Use Cases

Retail Store

Retail video analytics is a powerful tool that can help businesses gain insights into customer behavior and preferences.

Introduction to retail video analytics: Explain what retail video analytics is and how it works. Describe the types of data that can be collected and the insights that can be gained.
Benefits of retail video analytics: Discuss the advantages of using retail video analytics, such as improving customer experience, optimizing store layout, and increasing sales.
Types of data collected: Go into more detail about the types of data that can be collected through video analytics for retail, such as foot fall tracking, dwell time, and customer demographics.

Customer Intelligence In Retail Video Analytics

Collect demographics and data on footfall
Collect information on facial expressions
Track Unique/Repeat Customers
Dwell time

Track Customer Behaviour

Heatmaps to track where customers are going
Tracking Customer paths
Shelf Analytics to identify products getting sold out
Eye Tracking

Improve Retail Video Analytics

Maintaining Cleanliness by regular updates
Uniform/Hygiene
Keeping a check on inventory
Tracking queue length and giving updates
Keeping a watch on customers dwell time or any suspicious activity

Loss Prevention

Keeping track of Suspicious Behaviour
Face Recognition for future records
Staff Monitoring to prevent any unforeseen circumstance

Safety & Security Of The Store

Preventing Unattended objects
Cap/Helmet/Face covering recognition
Preventing Camera Tampering
Regulating Guard sleeping and absent detection