Beehive Applied Kinetic Intelligence

We Put the Analytics Into Video Analytics
Beehive collects real world activity through cameras and sensors and applies it to business optimisation and loss reduction concerns specific to the retail, retail banking and workplace sectors – affordably and at scale.
Our highly secure edge deployment platform allows any combination of the following solutions to be deployed and managed remotely across hundreds of sites, allowing you to try new solutions with no additional hardware installs.

Retail Banking Workforce Optimisation

“We met service levels and reduced weekly schedule by six hundred hours across the branch network within three months of installation.”

View the retail banking customer service channels optimisation overview (PDF)

Digital transformation is changing the way people bank, increasing the need for digital engagement while staff utilisation in the branch is in decline. But with the physical branch providing an essential point of difference to online bank challengers, how can resources be allocated cost effectively while maintaining this competitive advantage?

Beehive allows retail banks to harness advances in machine learning and simulation to provide powerful, continuous, low-cost metrics and analytics: unlocking opportunities to make evidence-based schedule changes, use latent capacity to improve digital customer service and optimise physical branch design.


Meeting Space Analyser

“Half of the client meeting areas aren’t used for client meetings.”

Meeting space makes up a large part of an organisation’s property costs, but lack of meeting space is a frequent complaint of staff, and many studies show the advantages of increasing collaboration opportunities between staff, partners and customers.

Meeting Space Analyser shows how your valuable collaboration spaces are being used, allowing the right number of spaces and distribution of room sizes to be provisioned and saving on property costs.

Additionally, Meeting Space Analyser provides useful staff utilisation data to help management understand customer interaction trends to inform better schedules and or find latent capacity to use for administrative tasks.


Self Checkout Theft

“Sorry that avocado didn’t scan correctly – let me fix that for you.”

BeeHive STING alerts self checkout supervisors though a mobile app when customers deliberately or accidentally mis–scan items or swap barcodes to “scan” a cheaper product, while automatically learning to detect thousands of new products and packaging.

Using a feed from your Point of Sale (PoS) system STING compares the list of products seen by PoS, and the sequence of products visible from a camera mounted above the scanner. Discrepancies are prioritised by differences in price and forwarded as alerts to the supervisor, who can confirm the product was correctly identified and intervene with full knowledge of the substituted or entirely un-scanned item.

Reporting includes the value of products saved through informed supervisor interventions and the number of alerts not responded to due to a supervisor not being available.


Register Operator Fraud

“They just made five hundred dollars in two hours processing cash refunds without a customer.”

“Here you go mate, this one’s on the house.”

Beehive Operator focuses the efforts of your security team when dealing with internal fraud and loss at the register. High risk transactions such as refunds and discounts are identified for review based on Point of Sale (PoS) system records and automated video analysis. This unique capability allows the system to isolate refunds with no customer, missing supervisors for large refunds and discounts, and actions that look like a product being scanned which do not result in a PoS entry.

During review the full transaction details are presented along with video of register at the time of the transaction to simplify identification of fraud and theft. Once theft is identified other transactions by the staff member can be checked to establish longer term behavior patterns and gather evidence.


Cleaning Roster Optimisation

“Slips and falls are more likely when more people are in the centre.”

Cleaning and public liability insurance claims are the two largest operating costs of shopping centre operators. CLEAN monitors shopping centre populations and suggests cleaning schedules that redistribute your existing cleaning efforts to when and where they’re needed, significantly reducing injuries and the resulting claims.


Office Space Optimisation

“There are enough hot desks available ninety five days out of one hundred – and on those five days less than four missed a spot.”

SWARM uses sensors to detects arrivals and departures at office desks, and counts the number of occupied desks by department. For collaboration spaces without fixed seating positions Meeting Space Analyser is normally deployed alongside SWARM.

SWARM measures office desk utilisation, but the statistical model it builds up can be used to measure occupancy shortfalls despite there being more people than desk sensors. This allows workplace planners to confidently allocate just enough office spaces to meet service levels that allow for occasional shortfalls, knowing that they wont be blind to the shortfalls when they occur.


Foot Traffic Directions

“The manager said they were under staffed on Sunday afternoons – here’s the evidence.”

Beehive measures foot traffic flows not only at store entrances but at key points throughout your layout. Multiple arrival and departure direction combinations can be detected, supporting flexible analysis and testing of the impacts of signage and product placement.



“On the face of it both product discovery areas seem to be good ideas, but the second is clearly more popular than the first.”


“Yesterday it looks like the social distancing policy was close to being breached in lunch hour.”

Beehive can efficiently and accurately report population counts for multiple areas every minute, allowing space usage patterns to be identified, supporting decision making or alerting in property, safety marketing and other domains.


Queue Wait Time

“On most days the service desk is doing fine, but the wait time blows out to fourteen minutes every second Thursday – we need to open another desk.”

Queue wait time is a basic success measure of any physical service desk. Beehive can report average wait times per period and isolate contributing factors such as slow handling times or unexpected increases in queue arrival rates.


License Plate

“We’re getting hits on known offender’s vehicles every second day in our drive through.”

LPR connects to one or more cameras at your location with clear views of car number plates as they enter a car park, loading dock or drive through area. At regular intervals the software refreshes a list of whitelisted and blacklisted number plates from a master list: whitelisted plates are those authorised to access restricted facilities such as distribution centres without raising an alarm, while blacklisted plates will raise an alarm whenever they are seen.

As a car passes a camera the number plate is read and compared with the whitelist and blacklist. If necessary, an alert including an image of the plate and any notes attached to the blacklisted entry is sent by email and SMS to security team members subscribed to alerts at that location, who can confirm the sighting and take action. Regardless of whether or not there is an alert, the plate image and time/location of the sighting is uploaded for later reference.

Your team members are given secured access to a web application that allows them to search historical plate sightings, filtered by time and up to two locations, allowing multiple events to be correlated with the presence of a particular plate. The team can add or remove a plate from a whitelist or blacklist and record notes about the plate, for example the company who owns the whitelisted vehicle, or a law enforcement contact to notify if a blacklisted plate is sighted.



“When we enrolled the guy who got away with those batteries we found out he’s visited five stores nine times in the last month –next time we’ll be ready.”

Protect your customers, staff and business from known offenders across a network of sites in a cost effective manner independent of existing DVR systems. A streamlined end to end enrolment and alarm process increases accuracy and speeds rejection of false positives, with purging and audit controls to ensure privacy and clearly demonstrate compliance with relevant legislation.


Operate business safely in the “new normal” through effective management of social distancing across your location network. While front line staff have the main role to play in keeping staff and customers safe, head office needs a way to confirm that consistent policies are being applied.

Compliance Score
Hours of Non-Compliance

Occupancy Capacity Management

Directors have a direct legal duty to implement and monitor systems which ensure safe working conditions in their workplaces (WHS Act 2011).

BeeHive provides a system to effectively manage Pandemic/COVID risks and enables you to assure your customers and staff that your place/s of business meet regulations.

Risks range from non compliance with regulations leading to fines through to actual disease outbreaks with severe health, human resources, repetitional and revenue impacts.

Our Capacity Management dashboard allows head office to observe trends in social distancing compliance across their organisation so that outliers can be identified quickly and managed with training or modified processes and layouts.

Importantly, beyond Covid-19 the installed Beehive hardware can be used for any of our applications, so investing in compliance now can have ongoing benefits for your organisation into the future e.g. benchmarking the new norm in property utilisation to inform opportunities to reduce the costs of property.

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