The Areas Impacting Business Operations

Enterprise businesses face many challenges that impact both the bottom line and customer experience. Without a way to automate video analysis, unidentified inefficiencies can continue to affect overall organizational performance, including recurring manual walkthroughs which slow processes, limited visibility into customer foot traffic, and extended, inefficient queue lines.

How Intelligent AI Analytics Unlocks Operational Efficiency

Advanced AI video analytics in a cloud video platform can turn security cameras into intelligent operational assistants. An AI cloud solution can automatically monitor specific zones and detect patterns so teams can elevate operations. 
Instead of relying on staff to manually monitor cameras or physically walk the floor, AI analytics do the heavy lifting, with key capabilities including:

• AI-powered visual alerting
• Traffic count analytics
• Additional third-party analytics types

Visual Check To Reduce Manual Walkthroughs

With AI-powered visual alerting, businesses can automatically verify site conditions and operational readiness to surface trends, improve consistency, and focus resources where they will have the greatest business impact. These checks analyze camera feeds at scheduled intervals to ensure compliance with company policies.

For example, an automated visual check can confirm whether promotional signage was placed on time at specific locations or help monitor corridors to ensure emergency exits remain unblocked by boxes. By reducing manual walkthroughs, team members free up valuable time while ensuring incidents that require response are addressed quickly and accurately.

Traffic Count for Actionable Business Insights

Organizations can gain clear visibility into location occupancy for more effective resource usage with traffic count analytics. AI-driven traffic counting tracks the number of individuals entering and exiting specific locations, offering valuable data regarding occupancy.

This capability helps managers align labor costs with actual foot traffic and drive more profitable operations. Instead of guessing when peak hours will occur, managers can analyze historical traffic trends to build optimized schedules. Occupancy threshold alerts provide an additional tool for responding quickly during situations when an unexpected rush is occurring. If the number of people in a store exceeds a predetermined limit, the system will notify store managers. This helps businesses ensure service remains swift even during unpredicted spikes in occupancy.

Third-Party Video Analytics To Improve Speed-of-Service

A complete video surveillance solution should also be able to leverage third-party analytics, allowing enterprise businesses to integrate cutting-edge tools and leverage additional analytics types, such as:

• Vehicle Journey Time Analytics: Tracking vehicle journey time is a highly valuable metric, especially for expansive properties or complex drive-thru layouts. By measuring how long it takes a vehicle to move from the entrance to the service window, operators can identify where delays are occurring and implement targeted workflow adjustments to clear the bottleneck.
• Queue Length Detection: Queue length detection helps monitor customer lines, with alerts for proactive response to anomalies. If a checkout line exceeds a designated threshold, the system can notify managers. This allows for faster intervention before customer experience degrades.
• Wait Time Tracking: Additional analytics types can enable viewing of customer wait time to improve speed-of-service. Tracking the exact duration a customer spends waiting provides measurable data to evaluate staff performance and test the effectiveness of new operational processes.
• Unattended Customer Detection: Analytics-based alerting for unattended customers helps ensure patrons are helped in a timely manner. If a customer stands at a service desk or counter for a set period without an employee present, an alert is generated to send over a team member.

An open platform architecture enables utilization of analytics-enabled cameras and edge devices to further improve customer experience and enhance operations. An open ecosystem also ensures businesses aren’t locked into a single vendor’s product, allowing deployment of the exact analytic tools required for unique business environments.

Supercharge Your Business Operations With Video Analytics Solutions

An open, AI-powered cloud video platform helps businesses take their operations to the next level. By leveraging an intelligent solution, organizations can automate walkthroughs and respond to key operational inefficiencies faster, whether that’s long queue lines or workflow anomalies, while also gaining insights into company resource usage and trends.

OpenEye’s AI video analytics provide a powerful solution designed to help enterprise businesses turn video into actionable intelligence, all available in the OpenEye Web Services (OWS) platform. With OWS, businesses can leverage AI Visual Check to automate visual verification of site conditions, Traffic Count to unlock occupancy insights, and Operational Analytics in OWS (powered by Wobot.ai) for additional tracking of key metrics such as wait times or customer journey. The open platform also enables integration of third-party analytics and edge devices for greater access to video analytics. By bringing video data into an AI-driven platform, OpenEye empowers organizations to reduce manual inefficiencies, align labor resources with customer demand, and ensure brand standards are consistently met across every single location.

Explore how OpenEye’s AI-powered video analytics can transform your organization.