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Video Analytics solution to reduce OPEX by 23% for a leading food park retailers


Building a customised video analytics solution to cut back on OPEX by 23% for leading food park retailers


Locating major operational loopholes, Speeding up transaction execution and Receiving customer insights & enhancing business continuity plans


Customised AI models within 27AI's video analytics solution and transforming CCTV based daily operations

Technologies and tools 

Deep learning, Compute vision, OpenAI (embedding, GPT-4), AWS (Lambda, S3, RDS+pgvector), SAM, CI/CD, CRM Pipedrive-API


The client is one of the leading food park retail companies in Australia. Since opening the first food park in Victoria in 2013, they have developed into a one-stop place for all food amenities, selling a wide selection of different cuisines food for various people and every occasion, including casual and formal events. The business has 50 stores operating in 3 cities.

What did we solve

Food Park retailer opts to implement a centralized command control center. The unique digital Video Management System has been deployed in over 50 stores that allows real-time centralized viewing of all the stores of the client across the food park. This not only made the operational process swifter but also provided transparency, unbiased data view, & also enhanced store manager productivity. These were the challenges of the first phase of the deployment process. In the second phase, we also enabled footfall & demographic analytics, helping identify trends in various forms.


  • Video Wall Software

  • Feed Management & DVR Recording

  • Event of Interest Management

  • User Management

  • Audit Report & Empirical Data Analysis

  • Footfall Analytics

  • Demography Analytics


Our client uses technological innovation to transform its CCTV based daily operations. Every business, including our client, is required to submit frequent reports to higher management on the status of their sales, customer insights, and store operations. There are multiple heterogeneous data flows because of these reports. Traditionally sensors were used for the same, where the data is not always transparent and accurate. The client sought a solution that could provide them with centralised visibility over their stores while also providing accurate customer analytics that will be flexible for API integration to platforms such as Power BI.


Key requirements of the client:

  • Locating major operational loopholes

  • Speeding up transaction execution

  • Receiving customer insights & enhancing business continuity plans


When the client got in touch with the technology consultants at 27AI, we were able to grasp their industry's peculiarities quickly & comprehend the motivations behind the implementation of 27AI’s video analytics solution.


The envisioned 27AI’s Video Management Solution (VMS) & Video Analytics (VA) would compile the most recent as well as backed-up data on the cloud for all the stores and facilities across all sites.

Glass Factory (Vision)

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Food Park (Vision)

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Health and Wellness Company

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AI based Marketing Campaign

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27AI’s platform that offers its customers simple access to pertinent CCTV footage data in its multiple stores. All the critical camera views will be available at a single point, such as the cash counter entry gate, merchandise sections, & more. This view would be available centrally to senior leadership at any point, including the number of incoming and outgoing customers, the demography, & much more. The VMS makes it simple to comprehend the footwear store’s activities by presenting video data in an appealing system that can contain nth number of video footage.


The 27AI’S team provided our client with a comprehensive product demo session before beginning the pilot project. Together with our client, we set out to analyse the concept behind the implementation process and consider the demands and potential obstacles.

  • One of the pillars was to access transparent, centralised visibility, but no static IP was available. The hardware requirements were also fluctuating, in the sense that all cameras were of different make-models. Our onboarding team worked towards resolving these issues.

  • After this, access to personalised reporting and role-based user access controls were given, ensuring a fast-scale onboarding.


 To encourage platform adoption, we concentrated on proposing straightforward usability in a single platform. We also created a clear visualization representation to make it simple to compare complicated demography and footfall data.

In less than a few weeks, 27AI’s team was able to start producing results. The VMS allowed our client to track the onboarded stores and successfully manage any risks and issues with ease, with both mobile and web view access. The customer managed its daily operations systematically without any loopholes within a short span of time. The system provided accurate results under a tight timeframe of only two months.


Our Solution now combines data from over 50 stores, with plans to eventually onboard all 90+ stores. The client found it simpler to recognize anomalies with real-time alerts, such as figuring out when a store’s camera is disabled and monitoring user activity to detect any discrepancies.

What did we achieve

The user accessibility and video data monitoring of the multiple stores has been modernized by 27AI as per the client’s expectations.


Customer diversified its business strategy with 100% centralized visibility, along with minimizing theft and losses, & established itself as a trailblazer in the industry.


The footfall & demography analytics, with 99.7% algorithm accuracy, posed as an efficient AI solution that drove targeted marketing efforts.


The use of existing CCTVs, rather than new hardware implementation such as cameras or sensors, also saw a 27% reduction in CAPEX.


27AI offered real-time data for strategic analysis and decision-making, assisting prominent market actors in performing their duties more effective.


  • 100% Centralized Visibility

  • <99.7% Algorithm accuracy

  • 27% Reduction in CAPEX

  • 23% Reduction in OPEX

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