Retail Video Analytics System

Retail
Edge Computing
Video Analytics
Footfall Analytics
Python
TensorFlow
Dwell Time
AI
Dwell Zone
Nvidia

Overview

Brick and mortar stores often face significant challenges in understanding customer behavior, preferences, and needs. Limited to manual observations, they struggle to gather comprehensive data on customer interactions within the store. This lack of insight leads to missed opportunities in optimizing store layout, product placement, and overall customer experience, ultimately impacting customer loyalty and revenue. The Customer Insight Platform addresses these challenges by leveraging AI on Edge technology and CCTV cameras to provide real-time customer insights, enhancing the store’s ability to make data-driven decisions.

Problem

Brick and mortar stores need a robust method to accurately track and analyze customer behavior to:

  1. Understand Customer Traffic: Identify peak hours and traffic patterns to better allocate staff and resources.
  2. Optimize Layout and Product Placement: Determine which areas of the store attract the most attention and which are frequently ignored.
  3. Enhance Customer Engagement: Analyze the time customers spend in different areas to improve engagement strategies.
  4. Increase Revenue: Use data-driven insights to boost customer loyalty and sales through optimized store experiences.

Key Requirements

AI on Edge: Utilize AI on Edge technology for real-time data processing without relying on cloud connectivity, ensuring quick and efficient insights.
Footfall Analysis: Accurately count customer entries and exits, identify peak traffic times, and understand overall traffic patterns.
Heatmap Generation: Create visual heatmaps to highlight the most visited areas within the store, aiding in strategic product placement and layout optimization.
Path Tracking: Monitor and visualize customer movement to identify preferred paths and areas often overlooked.
Dwell Time Analysis: Measure the amount of time customers spend in various sections to refine layout and product display strategies.

AI Computer Vision

Artificial intelligence (AI) trains computers to interpret and understand the visual world. By using digital images from cameras and videos as well as deep learning models, computers can accurately identify and classify objects and then react to what they “see” in a manner defined by their programming. This technology combines machine learning and pattern recognition to mimic the way the human vision system works, but with the ability to process and analyze data at a scale and speed that humans cannot match.

Our Solution

Result

AI on Edge Implementation:

Nyx Wolves deployed edge devices equipped with AI algorithms to process CCTV footage locally, ensuring quick and efficient data processing without the need for cloud connectivity.

Footfall Analysis:

The platform accurately tracks the number of customers entering and exiting the store, providing valuable insights into peak hours and traffic patterns.

Heatmap Generation:

AI algorithms analyze the footage to create heatmaps, revealing the most frequented areas and enabling stores to optimize product placement and layout.

Path Tracking:

The platform tracks customer movement within the store, providing a visual representation of paths taken by customers, helping stores understand preferred and avoided areas.

Dwell Time Analysis:

Detailed analysis of dwell times in different areas helps stores refine their layout and product placement to enhance customer engagement and boost sales.

Leveraging AI for Smarter Retail Insights

Results

The implementation of the Customer Insight Platform has led to significant improvements for brick and mortar stores, including:

Enhanced Understanding of Customer Behavior: Stores now have a clear view of customer preferences and movement patterns.
Optimized Store Layouts: Data-driven insights have allowed stores to redesign their layouts to better engage customers.
Enhanced Understanding of Customer Behavior: Stores now have a clear view of customer preferences and movement patterns.
Optimized Store Layouts: Data-driven insights have allowed stores to redesign their layouts to better engage customers.
Increased Customer Engagement and Loyalty: Improved product placement and layout have led to higher customer satisfaction and repeat visits.
Boosted Revenue: The ability to make informed decisions has resulted in increased sales and a significant return on investment.

By leveraging AI on Edge technology, the Customer Insight Platform has transformed how brick and mortar stores operate, providing them with the tools needed to thrive in a competitive retail environment.

Tech Stack

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