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RaptorVision is an AI Event-Based Product Engagement & Integration Platform for Retail

A State-of-the Art integrated suite of video analytics and AI Deep-Learning solutions that detects product engagement events in real time.

Purpose Built to Increase Sales and Profits, Deter and Document Shoplifting and ORC events and Improve Employee Safety. Proactive “Waiting for Event” behavioral AI Deep-Learning analytics differentiates from other technologies available. Enterprise-Scalable, camera agnostic and provides Real-Time Notification and Live Mobile viewing of Events

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  • Stop ORC Now
  • AI Deep-Learning
  • Real Time Behavioral Theft Detection
  • Hardware Agnostic
  • Generative AI Employee Safety
  • Too Much Too Fast
  • VMS
  • Enterprise Integration Platform
  • Real Time Visual Confirmation
  • Increase Profits
  • Predictive Analytics
  • Multi-Site Data Aggregation
  • Real-Time Concealment Product Detection
  • Behavior Classification
  • AI-embedded VMS
  • Business Intelligence & Data Lake Integration
  • ORC Activity Detection
  • Improve Customer Experience
  • Live Mobile Viewing
  • Single sign-on
  • Live View of Event
  • Real-Time Event Notification
  • Anomaly Detection
  • Facial Recognition
  • Cloud-based
  • LPR
  • Reduce Costs

Benefits

Real-Time, Rules-Based
Event Notification

RaptorVision is Enterprise-Scalable, hardware and camera agnostic and provides a Real-Time, Rules-Based notification engine and Live Mobile viewing of Event-related activities across multiple store locations as desired. Notifications and alerts can easily be configured to provide visibility to staff such that proper actions can be initiated to respond according to store policy. Additionally, other notification methods include store PA, two-way radios, direct overhead IP speakers, public view monitors (PVM), or any IP/Digital output allowing employees to take appropriate action.

Analyzing product engagement activities in real-time, RaptorVision designed a detection system that alerts employees of any potential shoplifting while deterring would-be offenders from committing shoplifting and organized retail crime (ORC). The innovative system carefully examines the product-engagement behavior of customers and how they interact with products. This data, in conjunction with the platforms’ rules-based engine, provides valuable insight into potential theft and other customer shopping activities.
RaptorVision can send notifications via overhead/down Speakers, PA systems and in-store/in-aisle monitors that let a would-be shoplifter know that customer service is on the way. This typically stops a shoplifting event from happening.

Promoting safety in the workplace, RaptorVision alerts on-site employees before a crime is committed from a safe digital distance, allowing them to follow company operating procedures as applicable to the immediate situation. By preventing unwanted interactions, RaptorVision improves the security of retail workers and customers.

The RaptorVision Platform allows for ease of use and rapid review of all relevant Events. Event data is easily categorized and linked together with supporting video evidence and images such as peripheral cameras, facial matching/Recognition and Intelligence images, license plate information and more. This automated proactive approach to the capture and storage of your important information saves significant time and effort while presenting an organized set of data for total case review and distribution purposes.

RaptorVision is always watching and proactively alerting staff to product engagement. The old method of locking products up or putting tags and bottle caps can go away, delivering not only a significant cost savings, but a better customer experience at the same time.

RaptorVision also helps retail operators maximize the opportunity to respond to various in-store events. The event-based product engagement platform captures product-related activities, collecting data about the way customers interact with objects on shelves.  This allows business and marketing use-case scenarios to be developed based on information straight from the source, increasing strategic effectiveness, profitability, and success. 

Enterprise Integration – Data Capture, Classification, Aggregation & Reporting

RaptorVision is designed with data capture and analysis at its core architecture. Focusing on in-store activities including customer, vendor and employee engagement with products or other aspects of the overall customer experience. Whether in store aisles, the backroom, loading docks or parking lots, RaptorVision turns existing cameras into data that creates a novel High-Resolution experience of business operations for Executives and Store Staff alike, not captured by any other tools or software offered in the marketplace.

Data is the lifeblood that drives business intelligence (BI), strategy, operations, marketing, and investigations. RaptorVision provides a patented event-based data capture approach that gives stakeholders unique product engagement insights of how people engage with products. Aggregation of data across the enterprise significantly improves the ability to keep employees safe, deter theft, improve the customer experience, and maintain a complete, organized, and easily discoverable historical audit trail.
All Event-related data captured can be shared with other systems throughout the enterprise – adding significant Product Engagement data not captured elsewhere for further Insight Analysis and Reporting

Peripheral Cameras Capture Related Videos And Data.

Employee Can Safely Decide Best Course Of Action​

Detects Known and Repeat Offenders

To Other Devices Such As PVM’s

Are Immediately Notified Of Thefts at Any Other Location

Data Captured Supports Automated Case Management

Integration to LPR

Converts Video Streams to Enterprise Data Intelligence

Common Use Cases

Liquid or Other Spill

The ability to detect if a product or other potentially dangerous item such as Fluids or liquids has spilled on a floor . The ability to detect liquid hazards on the floor to alert for clean-up

Slip & Fall

The ability to detect if someone is horizontal vs vertical indicating a potential slip and fall situation to alert for help.

Employee Productivity

Identifying store employees that are standing around in the back room (or other) as opposed to doing their jobs. This data could be aggregated with peak customer hours for optimized scheduling and improved customer experience

Product Engagement & POS comparison

Customer engagement with products can be compared to POS data to analyze why customers engage with certain products without purchasing Product manufacturers and distributors would be interested in this as well Analyze the ratio of visitors to actual purchases to improve product placements (Conversion Rate Tracking)

Self Check-Out Fraud and Concealment

Moving items around the Scanner / Hiding items underneath Using Multiple Credit Card / Fraud and Other…

Dwell Time Analysis

Understand how much time customers spend in specific store sections for layout optimization.

Customer Service Response Time

Measure how long it takes for a Customer Service representative to respond to events seeking assistance Measure time customers wait in lines to place orders for products such as butcher counter Measure how long orders take to be fulfilled after the customer places the order.

Shelf Monitoring and Restocking Alerts

Identify low stock levels on a shelf in real time and automatically alert to order or restock

Violent Activity “at risk” activity detection

People engaging in fighting or aggressive behavior, Firearms detection Gunshot detection

WAITING FOR EVENT