Blog How Computer Vision is transforming the face of E-commerce

Written by Sonali Saikia

How Computer Vision is transforming the face of E-commerce

Understanding Computer Vision


Computer vision is one of the parameters of Artificial Intelligence (AI). Unlike natural intelligence performed by humans or animals, AI is demonstrated by machines. It equips the machine to identify, detect, and mark the products as humans can do. Similarly, computer vision in AI means computers are trained in such a manner that they can interpret and understand the visual world. It can identify the products along with their characteristics like colour, size, shape, texture, etc. It is performed accurately with the use of deep learning models and digital images
from cameras and videos.

Redefining E-Commerce Business with Computer Vision

In the digital age, the eCommerce business is no longer constrained to physical presence. The sudden outbreak of the COVID-19 pandemic has positively impacted the eCommerce business. The eCommerce has exceeded its growth levels which were not expected until 2025, due to the COVID-19 pandemic. It has assumed to bring in sales of over $843 billion in 2021. Even before the pandemic eCommerce business is growing with the dawn of computer vision. Consumers are enjoying one-click shopping and placing orders from the comfort of their couches. Here’s a use case scenario on the development of a major eCommerce portal along with a provision for product


Computer vision has escalated the online shopping experience with the enlightenment
autonomous capabilities, contactless checkout, and unparalleled performance and accuracy. As
per the Retail Info Systems (RIS) technology study “Retail Accelerates”, 3% of merchandisers
have already started computer vision last year, while 40% are planning to start implementing it
within the next 12 months.


Here we shall quickly discuss the applications of computer vision transforming eCommerce

1. Visual Search
Consumers are nowadays demanding convenient features like visual search while experiencing in-store shopping. In few cases, search queries are difficult to depict with words and this is where visual search comes in. With computer vision, you can simplify the buying process for consumers. Many companies, like Myntra and Amazon, have used computer vision’s visual search capabilities to create and implement snap and search functions. It allows consumers to take pictures of items they prefer to purchase and thereby helps in finding similar items, in few seconds.

2. Personal product recommendations
Personalized product recommendations in eCommerce platforms have taken businesses to another level. With the use of computer vision, companies can tag the visual content automatically, properly, and comprehensively. For instance, with the use of computer vision when a consumer is likely to check out a product, based on its preference, and browsing history the computer vision further displays recommended items. Pinterest Style Finder is one popular example as it allows users to find home furnishing with their desired preference link. Further, because the tool show array of furnishing, it also shows the potential of customers to buy complementary items that can match their design. The visual content associated with the content allows for cross-selling and gives a more personalized

3. Augmented Reality
Computer vision-based AR in eCommerce allows customers to preview products as per their convenience, before purchasing them. Resulting in better customer experience, improving brand perception, and boosting sales. A data revealed that amid pandemic consumer adoption of virtual technology, monthly augmented reality (AR) reaches 83.7 million from 72.8 million last year.

For example, in an online retail store, buyers can try the items by using a photo of them. In this case, computer vision tries to locate and rotate the product accordingly to make it appear real in the given scenery.

4. Virtual Trial Room
A growing number of eCommerce retailers are beating the competition hard by opting for virtual fitting rooms thereby improving the customer experience. For example, with the use of computer vision, the eCommerce eyewear portal Lenskart enabled users to try glasses on realistic 3D models using their webcams. It has become necessary for those competing with eCommerce giants virtual try-on technology is no fancy feature but a must in the fast-changing eCommerce platform.

Benefitting both the Consumers and the Producers in eCommerce with Computer Vision

This emerging power of computer vision in eCommerce has become essential to survive in the space of eCommerce. It benefits both consumers and producers as it offers delightful customer experiences and process automation which overall impresses the customers and at the same time, cuts costs. The convenient features such as visual search or automated question answering are demanded by customers, whereas, retailers demand operational efficiency of features, such as warehouse automation or more effective product discovery.


Now, since it is understood in e-commerce businesses, even the smallest signal of inaccuracy may lead to relinquishment. So, it is essential to use AI. There are many AI tools and platforms available that can train a computer vision model to support your e-commerce business. Understanding how AI and computer vision can assist you will help you make better decisions to
grow your site.

Summing up

Computer vision does not finish here. It is a discipline still growing. As technology is fastening,
computer vision in the eCommerce business is bound to become more ubiquitous. Some other
futuristic approach can be:

1. Cashier-free physical stores
Computer vision will make cashier-less stores similar to Amazon reality. It will eliminate significant barriers to seamless in-store shopping and prevent customers from long checkout queues. Apart from fast and quick checkout, it will also give a responsive store management experience, no risk to customer data privacy.

2. Facial recognition security scans powered by AI
Facial recognition systems using computer vision can be used to scan customer’s data in future. With the use of AI-enabled analytics, retail outlets can access the customer’s data to identify their taste, preferences, etc.

3. Image analytics
The actual image turned into actionable insights can help retailers to get real-time insights regarding the activities in the store. This will ensure better sales and an enhanced shopping experience for the customers.

4. Revolutionized product delivery
With AI and computer vision, online e-commerce the industry holds a promising future. It will improve customer satisfaction and corporate cost control.

Hope you liked this short read!! You can also go through another blog to learn more about the fascinating tech trends

Published on 17/07/21



Visual Search


Personal Product Recommendations


Augmented Reality


Virtual Trial Room

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