VCA AI Smart Retail Solution
In today's fiercely competitive retail market, deploying a smart retail solution effectively improves operational efficiency, elevates the customer experience, and further boosts conversion rates and sales performance.
VCA's RetailTrend® Retail Analytics Platform is an AI solution built specifically for the retail industry. Combining AI cameras with advanced video analytics, it delivers deep insight into in-store customer behavior, helping brands and retailers make more precise business decisions and stay ahead of the market.
Smart Retail Feature Overview
RetailCount™ People Counting
- Accurately track foot traffic outside and entering the store, and calculate the draw rate
- Observe changes in visitor numbers during promotional campaigns to quantify marketing effectiveness
- Flexibly adjust staffing based on peak hours and customer traffic patterns to improve operational efficiency
- Chart 1 | Daily Store Entry Chart: Analyze peak traffic hours
- Chart 2 | 7-Day Entry Trend Chart: Identify the busiest day of the week
- Chart 3 | 30-Day Entry Chart: Compare promotional weeks with regular days to analyze marketing campaign effectiveness
- Chart 4 | Monthly Entry Chart: Track long-term visitor trends
RetailHeatmap™ Heat Map Analysis
- Visualize customer dwell time and movement patterns with heat maps
- Identify popular and underperforming areas to optimize product displays and space layout
- Identify congestion points to focus sales staff resources
- Chart 1 | Traffic Heat Map: Shows where "foot traffic is highest" (red = high traffic, green = low traffic), with traffic values and total visitor counts for each zone
- Chart 2 | Dwell Time Heat Map: Shows where "customers linger longest," with redder colors indicating longer dwell times, along with visitor counts by dwell duration
RetailFace™ Gender and Age Analytics
- Automatically identifies visitor gender and age distribution
- Enables more precise marketing strategies
- Supports cross-store comparison and time-period analysis
RetailTraffic™ Zone Conversion Rate Analysis
- Analyze customer visit rate, dwell time, and conversion rate for custom-defined zones
- Compare foot traffic performance across different product category zones
- Excludes staff from counting to improve data accuracy
RetailFlow™ Flow Path Analysis
- Analyze customer entry/exit routes and the distribution of movement paths
- Identify optimal promotional display locations and underperforming blind spots
- Track changes in customer flow before and after a store renovation to validate the effectiveness of the space layout
- The flow map can be applied to an aerial view or a virtual map (both must be uploaded by the user), with the virtual map being a floor plan layout.
- Red arrows indicate the actual direction of customer movement, while percentages represent the traffic share of each path, giving a clear overview of overall flow distribution.
RetailReport™ Reporting and API Integration
- Offers multiple report templates for Excel and Power BI
- Customizable report formats with API integration for system connectivity
- Supports single-store and multi-store analysis for side-by-side performance comparison across branches
Multiple Architectures, Flexible Deployment
Uses VCA AI cameras with built-in AI capabilities to upload video and analytics data directly to the cloud platform, supporting centralized management and analysis across multiple store locations.
Uses existing installed cameras paired with a VCA AI analytics server, uploading the analyzed data and video results to the cloud platform for centralized management and comparative analysis across multiple stores.
Combines existing cameras with an AI server, or AI cameras directly, to integrate video and analytics results from multiple stores into the cloud service platform.
Connects cameras already installed in the store to a VCA AI analytics server for local video analysis, data storage, and management -- suitable for single-store deployments without relying on the cloud.
Real-World Case Studies
Samsung Digitalplaza, South Korea's largest electronics retailer, uses Flow Map, Zone Traffic, and People Counting to track foot traffic and conversion performance across product zones.
Lotte Hi-Mart, South Korea's largest electronics retail chain with 470 directly operated stores nationwide, uses Flow Map, Zone Traffic, and People Counting to optimize customer flow and product traffic before and after store renovations.
A Seoul fashion shopping mall with 5 floors above ground and 2 below, home to over 100 designer brand stores and attracting more than 8 million domestic and international shoppers annually. Uses People Counting to analyze floor-by-floor traffic and cross-floor conversion rates.
Founded in 1980, Kyobo Bookstore is South Korea's largest bookstore chain and a pioneer of the large-format bookstore market, operating 42 stores nationwide. It uses People Counting and Zone Traffic for zone-level traffic analysis.