How AI Image Recognition Can Help Ecommerce Brands Increase Conversions
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Neeraj Manivannan
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How AI Image Recognition Can Help Ecommerce Brands Increase Conversions

Published : December 11, 2020 | Updated : May 10, 2024

As customers increasingly turned to online brands for their shopping, the demand for a more streamlined and intuitive shopping experience became evident.

This is where AI Image Recognition technology can work, revolutionizing the e-commerce landscape.

Imagine you have a particular style or color of dress in mind. AI Image Recognition lets you upload a dress photo and quickly scans thousands of products to find similar matches. This drastically reduces the time spent browsing and brings you one step closer to that perfect dress.

But the benefits of AI Image Recognition extend beyond just convenience. For e-commerce brands, this technology is a powerful tool to increase conversions. It personalizes the shopping experience by understanding and adapting to individual style preferences, leading to higher customer satisfaction and loyalty.

AI Image Recognition analyzes customer image searches, offering key insights for inventory and marketing, helping brands stay in tune with fashion trends and customer preferences.

Personalization – The Key to Unlock More Conversions

Nowadays, when a customer is online shopping, they want more than just a place to buy a product, they’re looking for a superb shopping experience. Each customer has a unique set of interests, tastes, and preferences. Therefore, delivering a unique customer experience by leveraging the power of personalization is the key for you.

Customers these days are particular when it comes to how (and with what brands) they want to spend their time online. They want brands to make their lives easier by making their online shopping seamless and easy to navigate. And why not? They have so many eCommerce brands to choose from.

80% of customers are more likely to shop from a brand that offers a personalized experience, and so they desire a shopping experience tailor-made to suit their needs and preferences. 


While some brands and marketers have understood this trend and are leveraging personalization to engage with their customers by delivering personalized experiences, a lot of work still remains to be done.

Key Questions to Think About

  • What can you do to stay ahead of your competitors and ensure that your customers are satisfied with your product offering and the experience you are delivering?
  • What do customers shopping online expect you to offer them?

The answer to these questions is AI image personalization. This is one phenomenon that has gone under the radar because most ecommerce marketers haven’t realized the importance of it. It’s the industry’s best-kept secret.

AI Image Personalization

Image-based Personalization is the principle by which eCommerce marketers can provide their customers with relevant product recommendations by analyzing the images of the products to understand customer behavior, their interests, and preferences. 

Every image that represents a product on an eCommerce website has unique attributes based on a number of factors by which it can be identified.

Customers go to great lengths to find exactly what they’re looking for. When they’re looking for an item, such as a dress, they’re looking at a particular category and a specified price range. Certain style requirements, patterns, and color combinations would also have to be met. Once these basic features are decided, the customer can go and look for what they want to buy. 

These individual features of each image act as the data you need to track to provide your customers with the most accurate product recommendations.

To build a personalization strategy that provides customers with image-based product recommendations, three things are absolutely necessary:

  • Large amounts of historical customer data to train the algorithms used by the AI engine
  • The ability to build a recommendation engine to process multiple models to provide the most accurate recommendations

As a marketer, what you need is an all-in-one recommendation solution to help you boost website conversions and increase sales.

How Can Netcore’s AI Image Recognition Boost Conversions?

Netcore’s AI engine, Raman, is a personalized recommendation engine that provides real-time insights to increase user engagement, retention, and revenue. Raman can analyze the images of your website in real-time and generate the attributes for your fashion and apparel products.

Raman supports both content and collaborative filtering. It enables you to recommend the best product by analyzing the previous browsing, viewing, and purchase patterns.

Raman personalizes the entire user lifecycle journey from the Home Page to the Product Display Page. It deploys personalized widgets and provides recommendations using image recognition capabilities. 

Your boutique page can be populated with by-products that are most contextual and relevant, fed by our image recognition engine.

Image recognition now categorizes product attributes through our engine, beyond just understanding images based on website tags. 


Check out how our AI-powered image recognition engine works.


How Netcore’s AI Image Recognition Provides Real-time Accurate Recommendations

Our AI engine analyzes the image of the product that the customer is viewing, breaks the image into different categories of cloth wear, and generates the attributes of each category in that image.

 

The color, style, fabric, material, brand value, price range, category, gender, and occasion are some of the features that get extracted and stored at the back end. These features are determined at an accuracy rate of almost 88%.

The next time the customer is browsing for clothes, the engine recommends similar products based on the performed image recognition. Therefore, the customer is compelled to continue shopping by showcasing personalized recommendations based on the previous viewing history. 

How AI Image Recognition will Benefit Brands

Delivering product recommendations based on image recognition gives you a better chance of providing more relevant and personalized recommendations that engage with your customers. This would provide marketers with ample opportunities to upsell and cross-sell similar products.

By analyzing your customer’s historical and live customer behavior to come up with relevant product recommendations, you can also impact key business metrics in a positive manner. 

  • Improve individual customer-level behavioral predictions by 20%
  • Elevate website click-through rates (CTR) by 30-60%
  • Increase add-to-cart rates (ATC) by 6-9%
  • Increase email and push notification CTR by 20%
  • Increase eCommerce website conversions by 8-13%
  • Increase in marketing ROI by 10-12X

The Exciting Future for Ecommerce Personalization and Product Recommendations

Personalization is all set to become an integral component of marketing. This will enable you to differentiate from your competitors and allow you to effectively acquire, engage, and retain your customers and drive up your conversions and revenues.

To discover the magic of image recognition based product recommendations and to also understand how we can help you engage and retain your customers, get in touch with us today!

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Written By: Neeraj Manivannan