Case Study QSR

The AIVIS Effect

Staff Management Costs Decreased By
Adherence To Protocols Increased By
Security Costs Decreased By
Resource Utilisation
Service Levels Preserved By
SOP Compliances


AIVIS’s QSR Video Analytics system is the next big thing: An AI-enabled system that is already up and running in various stores, restaurants and hotels!


Quick service restaurants or QSRs are amongst the most visited places in our country. They require maximum security, safety and, hygiene would be an added advantage. We at with our primary product AIVIS video analytics want to transform this convoluted process with high human intervention easy and tech-enabled with the use of Artificial Intelligence.


The AI-enabled video camera will be up and running 24*7 ultimately reducing the backbreaking job of security staff with real-time updates via SMS, emails, and WhatsApp.

The analytics will also give information on the hygiene and if the chef is backing the safety requirements, whether the staff is wearing gloves or not and any other hygiene requirements.


The most exciting part of AIVIS as a technology is, that it can detect the mood of an individual using facial recognition technology, which will help businesses gain customer insights and make improvements. Increase customer footfall with QSR Video Analytics.

AIVIS, a smart and efficient video analytical system will break the shackles of conventional logistical management.

With minimal supervisory control required, your facility will be safe and secured through an AI-enabled video camera system.

AIVIS will monitor the Turn around Time (TAT) and make the logistical process uninterrupted and impeccable before and after the job is done. The usage of logistics video analytics will give real-time appropriate results with the help of Artificial Intelligence and the conventional methods of logistics and delivery of products will now be replaced with smart and intelligent tools.

Furthermore, a reduction in last-minute shrinkages and compliance costs would be an added benefit. The monitoring of the Turn around Time of the parcel delivery will transform the whole process automated and secure.

Now, what we are experiencing is a change from conventional tools with the usage of Logistics video analytics.

AIVIS Video Analytics systems are now on the brink of bringing transformation and change in the video analytical industry by introducing distinctly efficient AI-enabled products for retailers, malls, and shops to not even safeguard the showrooms rather the AIVIS Video analytics comes with an array of solutions to make your store smart and efficient.

Our team at believes in high-tech security but with a glimpse of Artificial Intelligence, which can probably change the landscape of the video analytical industry.

Using an AIVIS video analytics system a retail store owner can analyze from which section the maximum customers shop from by the data given by our Heatmap, which uses AI to understand and foresee the crowd based on demographics like age and gender.


AIVIS Analysis

The AIVIS solution helped the Company monitor the usage of face masks, hair nets, gloves, and approved uniforms. Moreover, the system provided support in monitoring the compliance of the cleaning staff roaster, and updates on camera tampering. The system helped the company preserve service levels with surveillance on queue length management, order placement and order delivery time tracking as well as checking on any manned or unmanned POS. The system kept the company up to date with records of the time of intruding, location of the intrusion and real-time updates via SMS, emails, and WhatsApp.

Sevice Levels

Strategies for Improvement

Some Strategies To Improve The Solution:

  • Making sure our analytics models are updated with ongoing training.
  • Continuously monitor the system, and refresh the algorithm with new training data.
  • Research and development of new and innovative strategies to make the solution both effective and efficient.
  • Integrating new technologies and systems with our solution for better results.
  • Improving our UI And UX for a better customer experience.
  • Adding new charts and graphics for better data analysis.

Given its success, we will continue improving our models using reinforcement techniques.

Improve Your Staff Operations

Video Analytics Can Help You Improve Your Staff Management

Running a cloud kitchen can be a tough business. You have to manage food production, staff, and delivery all while making sure your customers are happy.

But what if there was a way to make your cloud kitchen run more smoothly?

Video analytics can help you do just that. By tracking things like customer flow, staff movement, and delivery times, you can identify areas where your operation can be improved. For example, if you see that customers are waiting a long time for their food, you can add more staff to the kitchen. Or if you see that delivery times are slow, you can optimize your route to get food to your customers faster.

How video analytics can help you improve your cloud kitchen operations?

The cloud kitchen model is becoming increasingly popular, as it offers a number of advantages over traditional brick-and-mortar restaurants. One of the key advantages of a cloud kitchen is that it can be more easily monitored and controlled. This is where video analytics can come in handy.

Video analytics can help you keep track of things like how often your kitchen is being used, how many people are using it, and what areas are being used the most. This information can be used to improve the efficiency of your cloud kitchen operations. For example, if you see that your kitchen is being used more often during the lunch rush, you may want to add more staff or make sure that your kitchen is stocked with the necessary supplies.

The benefits of using video analytics in your cloud kitchen.

If you’re looking for ways to improve your cloud kitchen operations, video analytics can be a big help. Video analytics can help you track and analyze things like customer traffic patterns, employee productivity, and kitchen workflow. This information can be used to make changes that can improve your efficiency and bottom line. For example, you might use video analytics to see that customers are spending a lot of time waiting in line, and then you could make changes to your kitchen layout or staffing to reduce those wait times. Or, you might use video analytics to see that your employees are spending a lot of time walking back and forth between the kitchen and the dining room, and then you could make changes to the layout or equipment to help them be more productive.

Track Customer Behaviour with Aivis

Video Analytics Can Help You Track Customer Behaviour In Your Stores

Track Customer Behaviour With Video Analytics

n order to better understand how customers interact with your business, video analytics can be a powerful tool. By tracking customer behaviour, you can glean valuable insights that can help you improve the customer experience. In this article, we'll show you how video analytics works and how it can be used to track customer behaviour

Tracking Customer paths

One of the most important aspects of any retail business is understanding customer behaviour. This helps businesses make informed decisions about everything from product placement to staffing levels. In the past, customer behaviour was tracked using manual methods like customer surveys and video observation. However, these methods are no longer practical as businesses have become larger and more complex. .This data can be used to understand how customers move through a store or interact with products. Video analytics is already being used by some of the world’s biggest retailers to improve their operations. For example, Walmart is using video analytics to track customer behaviour in its stores and make real-time adjustments to improve the shopping experience. Video analytics is already being used by some of the world’s biggest retailers to improve their operations. For example, Walmart is using video analytics to track customer behaviour in its stores and make real-time adjustments to improve the shopping experience.

Loss prevention and security with AIVIS

Video Analytics Can Help You Prevent Loss And Make Your Facilities Safer

Video analytics works by tracking and identifying various elements within a video and alerting security staff of possible events. It can also be used to review previous footage to provide users with key data to enhance security strategies. It can do so through the following functions:

Recognizes Camera Tampering

Camera vandalism and tampering can compromise a critical part of any security system. Video analytics software can operate with advanced video loss detection. This allows the system to recognize if a camera has been tagged by a vandal, is being dismantled, or is being moved away from an intended scene and raise the alarm. Security systems are now more vigilant against this type of sabotage and prevent incidents before they escalate. It also gives users an idea of areas that are vulnerable to vandalism or tampering.

Detects Suspicious Movement

When viewing or reviewing camera footage, there are situations wherein several actions and elements are in play. This can make it difficult to know where the camera should focus and keep track of more important details. With video analytics, motion detection can be calibrated to be more accurate.

Detects Objects taken Or Left Behind

Security breaches that lead to incidents like theft and bombings can be hard to protect against, especially in high-traffic areas. The time between detecting the event and taking action is critical, especially when lives are in danger. With video analytics, the system can be calibrated to detect when designated stationary objects are removed from a particular area or when a stationary object appears or is left in a defined area and remains there. Once an action is taken, an alarm triggers to alert security staff.

Identifies smoke, fire, and other dangerous anomalies

Aside from humans, natural disasters and other dangerous anomalies can also pose a threat to both people and property. Industrial camera systems utilize video analytics to spot these anomalies early on to alert staff and resolve the incident before it worsens. These irregularities can be defined within the video analytics software to include more specific scenarios, depending on the nature of the facility or structure being monitored.

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