OpenEye Unveils AI-Based Operational Analytics

OpenEye is excited to announce Operational Analytics for OpenEye Web Services (OWS) — an additional way to get the most out of your video security system. Powered by Wobot AI, Operational Analytics in OWS allows users to detect, analyze, and report on the events that matter most to your business. Streamline operations, improve customer service, and increase safety with powerful video analytics that detect the complex behaviors of customers, staff, vehicles, and objects, giving users access to a wealth of advanced operational intelligence.

OpenEye’s AI-powered technology delivers important information at a glance while alerting users when critical operational events take place, such as those tied to customer experience or functional processes. Smart merchandising, safety, engagement, speed of service, and more can be optimized with Operational Analytics in OpenEye Web Services.

Track Vehicle Journey Time

Operational Analytics offers an automated way to track and measure vehicle journey time throughout restaurant drive-thru lanes or pickup stations. For businesses looking to optimize this aspect of their service, integrating analytics with their video system can be the perfect solution to what otherwise may be an operational bottleneck.

Alerts can be set up in OWS to notify restaurant operators if a vehicle queue line is too long, or if a particular vehicle has been waiting longer than normal. Businesses can then use these alerts and valuable data to implement new procedures to optimize workflow.

Identifying where bottlenecks are happening can inform business owners if they need to add an additional drive-thru lane or have employees walk the drive-thru to expedite the order-taking process.

Utilize People Counting with Employee Exclusion

Managing occupancy is a crucial aspect of retail management, particularly during busier times of the day or year. Luckily, with Operational Analytics, accurate people counting, with the ability to remove employees from the main entrance count, becomes a lot easier.

Historic occupancy trends can be quickly identified, which can in turn help businesses more easily predict how to manage higher demands for their products and services. Heat mapping is another tool offered through Operational Analytics that can help eliminate some of the guesswork associated with planning promotional campaigns in stores.

By identifying where people typically move throughout the store via heat signatures, store operations can be better optimized to support those areas.

Measure Customer Experience

Another application of Operational Analytics is analyzing all stages of the customer journey, from merchandise engagement to wait times. As noted earlier, customer wait time for ordering and queue length can be an easy and reliable way to see how quickly patrons are being served. Additionally, employees that are not present for a period of time will trigger an alert.

However, especially for many retail businesses, monitoring how customers travel throughout your store and the effect that has on their shopping can also be a valuable point of data. This data can be used to identify trends within store operations, such as when peak hours are and how long customers typically wait before getting served. By analyzing this information, store owners can adjust the way they merchandise their retail outlet and deliver a more streamlined shopping experience tailored to their customers’ needs.

See Operational Analytics in Action

Operational Analytics benefits users’ businesses and operations by providing a more comprehensive and streamlined video security platform.

To learn more, click here. Register for our webinars where OpenEye demonstrates the benefits of Operational Analytics for Retail and Quick Service Restaurants or watch them on demand.