OpenEye Web Services releases Operational Analytics

January 13, 2026
OpenEye-Web-Services-releases-Operational-Analytics

OpenEye Web Services (OWS) has announced the release of Operational Analytics, powered by Wobot.ai.

According to the company, the release will allow users to get the most out of their current video security systems.

The company explains that Operational Analytics allows users to detect, analyse and report on the events that matter most.

It also allows users to streamline operations and improve customer service with powerful video analytics that detect the complex behaviours of customers, staff, vehicles and objects to give users access to a wealth of advanced operational intelligence.

OWS says that 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.

Operational Analytics help businesses improve efficiency and elevate customer experience with enhanced insights and data optimisation.

Features

According to the company, operational analytics offer a powerful set of features within the business intelligence suite, including capabilities such as:

  • Vehicle Journey Time: Track vehicle journey time across multiple cameras for improved insights
  • Queue Length Detection (Person and Vehicle): Monitor and receive alerts on queue length for proactive response to anomalies
  • Wait Time (Person and Vehicle): View and respond to customer wait time to improve speed-of-service at drive-thrus or queues
  • Customer Walk-in Count (Employee Exclusion): Receive more accurate store people count (uniform required for employee exclusion)
  • Heatmapping: Use heatmaps to identify high traffic areas in store
  • Occupancy: Measure occupancy trends to gather valuable business intelligence
  • Unattended Customer: Ensure customers are helped in a timely manner with alerting for unattended customers

By leveraging these features, businesses across industries can reinvent their workplace operations by identifying key areas to improve. Below, we’ll look at how the retail and restaurant industries can leverage Operational Analytics.

Use cases

Operational Analytics in retail –

Operational Analytics present retail organisations with actionable insights to help improve management. With AI tools, retailers can identify key areas of the business where optimisation may be needed.

  • Keep an eye on customer count: Customer count and historic occupancy trends can reveal how many visits your business receives and when those visits occur. This data also allows you to compare patterns week to week or month to month
  • Reveal new insights from customer journey: Tracking customer journey trends with heat mapping can help identify where business operations can be better optimised
  • Maximise customer engagement: Monitoring situations where customers are unattended, such as when no employee is at a register, helps ensure timely assistance and provides insight into how to better support staff

With Operational Analytics, retail businesses can unlock new insights to better optimise their store operations.

Operational Analytics in restaurants –

Operational Analytics utilises video surveillance to present restaurants with practical data that can be used to improve business management.

The company says that by elevating drive-thru lanes and empowering team members, analytics can offer a variety of ways to take business to an all-new level, including:

  • Streamline drive-thrus: Operational Analytics provides an intelligent way to track and measure vehicle journey time for restaurant drive-thru lanes or pickup stations, identifying where bottlenecks may occur
  • Ensure prompt speed of service: Queue line alerts improve response time during peak business hours to ensure customers are assisted as quickly as possible
  • Manage employee responsiveness: Operational Analytics improves team management by keeping you informed on potential inefficiencies in process, such as long wait times or unattended customers. This helps support staff by assessing when peak hours occur so assistance can be provided quickly and effectively

Operational Analytics is an advanced tool that can dramatically benefit restaurants as it takes the data that is already present through video security and transforms this into powerful insights, OWS adds.

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