Case Study Logistics

The AIVIS Effect

Dock Management Costs Decreased By
Adherence To Protocols Increased By
Security Costs Decreased By
Resource Utilisation
Parcel/Packet Monitoring Increased By
SOP Compliances


While logistics operations are prone to human error, AIVIS reduces the tendency of mistakes. AIVIS gives you real-time updates, constant monitoring of the operations, and immediate feedback when something goes wrong.

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 AVIVS solution helped the Company monitor loading and unloading, with 24*7 supervisory control and measurement of Turn Around Time (TAT). Moreover, the system provided updates on unnecessary loitering, detection of any unattended objects, updates on camera tampering and Vehicle Number plate recognition (ANPR). 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.

Protocol Adherence

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 Dock management

Video Analytics Can Help You Improve Your Dock Management

Video analytics is a technology that is being used more and more in the logistics industry. By tracking and analyzing video data, logistics companies are able to optimize their operations and improve their efficiency. Video analytics can be used to track things like vehicle movement, package handling, and even customer traffic.

How Can Video Analytics Improve My Logistics Operation?

In the world of logistics, every minute counts. That’s why many companies are turning to video analytics to improve their operations. Video analytics uses software to automatically analyze video footage to extract information. This information can be used to improve a variety of logistics-related processes, from package handling to route planning.


For example, video analytics can be used to track the movement of packages through a distribution centre. This information can then be used to optimize the distribution centre’s layout or identify bottlenecks in the package-handling process. Video analytics can also monitor traffic patterns and plan routes accordingly. By reducing travel time and maximizing efficiency, video analytics can help logistics operations run smoother and faster.

Retailers who use customer intelligence data are better able to understand their customer base and make decisions that improve sales.

Customer intelligence is the process of understanding customer behaviour and preferences in order to make better business decisions. Retailers who use customer intelligence data are better able to understand their customer base and make decisions that improve sales. By understanding what customers want and need, retailers can stock the right products, offer the right services, and provide the best possible shopping experience. This leads to happy customers and increased sales.

What Are the Components of a Video Analytics System?

To track and analyze video footage, you’ll need a video analytics system. A video analytics system consists of video cameras, a video recorder, and video analytics software. The audio capabilities of the cameras aren’t necessary to include in the system because the audio content isn’t what’s being analyzed.


The components of a video analytics system can vary depending on which types of footage you want to analyze and what specific issues you’re trying to solve. For example, if you’re operating a warehouse, you may only need to analyze package-handling footage.

What Are the Components of a Video Analytics System?


Once a video analytics system is installed, it effectively runs itself, which saves you time. The benefits of video analytics don’t stop there, though.

  • Identify bottlenecks in the package-handling process.
  • Detect safety issues, such as employees working too close to machinery
  • Identify inconsistent processes or practices

Monitor Shipments, Packages & Parcels

Video Analytics Can Help You Monitor Your Shipments

The process of shipping can be a complicated and costly endeavour. In order to streamline the process and ensure that everything is running smoothly, many businesses are turning to video analytics. By monitoring shipments with video analytics, businesses can ensure that their products are being delivered safely and on time. Not only does this save the business money, but it also allows them to provide a better customer experience.

Why use video analytics for shipments?

Video analytics can be used to monitor shipments and improve efficiency in a number of ways. By tracking the movement of shipments throughout the supply chain, video analytics can help identify bottlenecks and areas of inefficiency. Additionally, video analytics can be used to monitor employee performance and compliance with safety procedures. By using video analytics to improve efficiency and monitor shipments, businesses can improve their bottom line.

Using video analytics to monitor your shipments can help you optimize and improve your process.

The first step is to identify the areas in your process where video analytics can be applied. This could include places like your loading dock, assembly line, or packaging area. Once you have identified these areas, you can set up cameras and video analytics software to track and monitor activity..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.

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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