
Quick Commerce and E-Commerce stores are significantly utilizing the features of Artificial Intelligence (AI) video tools that help enhance the efficiency of dark stores. Dark stores, or Ghost stores are certain compact urban warehouses that hold products for rapid delivery to the customers. With a significant increase in the number of online orders, companies are leveraging AI to help them complete these deliveries with efficiency and ease.
How Will AIVID AI Cater To Dark Stores?

While most dark stores already have CCTV cameras, it is insufficient to rely on cameras alone. AI video tools have an added advantage of converting the live and recorded footage into valuable insights that help maintain security and hygiene. This serves as a helping hand to the managers who would be able to immediately identify the key problems. For instance, the system would notify the team if someone puts a product in an incorrect location or if the perishable goods are not being managed properly in the dark stores.
A company based in Gujarat named AIVID AI provides a video AI platform, that aims to deliver operational intelligence and helps the managers enhance their work processes. Founded in 2020 by Dhaval Arora and Nikhil Jain, the platform specialises in building AI-based systems that help in real-time and automated visual inspection. It caters to several industries — pharmaceuticals, manufacturing, banks and more. AI video analytics enable early detection of issues, allowing for corrective measures to be implemented before losses escalate.
The Changing Landscape
Given the rapid growth of Quick commerce facilities in India’s online shopping sector, the number of dark stores have increased from 1800 stores in 2024 to approximately 4000 the following year, with projections suggesting that it could surpass 5000 by the end of the financial year. This illustrates the growing popularity of rapid delivery services and the reasons businesses aim to adopt advanced technologies such as AI video intelligence in order to remain competitive.
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