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OWS AI Traffic Count gives organizations the data needed to optimize staffing, improve resource expenditure, and elevate marketing campaigns.
Make smarter staffing and operational decisions with Traffic Count powered by OpenEye Web Services (OWS) AI line crossing analytics. Understanding how many people move through your location, and when, can make day-to-day operations easier to manage. Traffic Count gives operators visibility into occupancy and traffic trends so they can plan staffing, respond faster, and improve customer experience.
Traffic Count helps businesses improve occupancy tracking by counting the number of people entering and exiting a location over time. Occupancy alerts can be configured to notify businesses when a location reaches defined thresholds to help avoid overcrowding, and intuitive reporting tools can be leveraged to identify traffic trends over periods of time.
With Traffic Count, organizations can transform video data into actionable insights that elevate security, streamline operations, and drive smarter, profit-focused decisions that directly improve company bottom lines.
Video analytics in OWS help businesses make smarter staffing decisions by understanding when locations tend to be busiest. Hourly occupancy trends can be identified and leveraged to optimize staffing for improved operations, ensuring the right number of employees are available during peak times. Additionally, occupancy alerts can help businesses make staffing adjustments as occupancy levels reach a certain threshold, enabling faster response to operational issues and bottlenecks.
For example, a retail store can review hourly counts to adjust scheduling. If more associates are needed during the afternoon rush, they can be scheduled accordingly, improving checkout speed and customer satisfaction. If less are needed, this can be adjusted and help reduce labor costs during slower periods.
By using traffic trends, organizations can align location hours with actual customer activity to drive more efficient usage of operational resources, such as a small convenience store adjusting store hours to open 30 minutes later on weekdays after reviewing weekly traffic reports. This helps avoid unnecessary labor and operational costs, such as lighting or heating, during consistently slow periods without impacting sales.
Visual reports also provide comparisons of traffic levels to previous periods to measure growth and improve operations. This information can keep teams in line with target goals while informing plans for future expansion.
Businesses can evaluate the effectiveness of marketing campaigns and in-store promotions by tracking changes in customer traffic over time via Traffic Count. By analyzing these traffic patterns, organizations can understand which initiatives draw visitors and drive engagement, and which are less successful for optimal use of promotions.
For example, a quick-service restaurant might look at traffic data during the run of a limited-time offer for a new-item breakfast campaign. After seeing a spike in morning visits, they’re now able to more confidently validate the promotion’s impact and use that information to craft future campaigns.
Traffic Count provides a data-rich, intuitive way for businesses to understand occupancy trends and ensure staffing and operational resources are optimized. These AI capabilities help drive profitability by empowering teams to align business hours with actual customer activity and accurately measure the success of marketing campaigns.
To see how occupancy and foot traffic insights can be used to benefit your business, book an OWS demo today.
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