Top 10 Use Cases of AI in Magento 2

Artificial Intelligence (AI) is changing the game in eCommerce and integrating it into Magento 2, a leading eCommerce platform is highly beneficial.

Let’s check the Top 10 Use Cases of AI in Magento 2, But first, let’s connect.

With the rise of online shopping, companies and organizations for creative ways to improve customer experiences. They are striving to make customer experiences smooth and efficient.

The use of AI in Magento 2 stores is rising and it brings with it many advantages and expansion options.

Various open source LLM models like Llama 3, Gemma, Mistral etc. are available and paid LLMs as well such as GPT-4, Gemini, Cohere and Claude.

So, Through these LLMs, various use cases can be custom developed and integrated.

In this article, we will look at the best ways AI can be used in Magento 2 to help improve user experience and drive business growth.

Artificial Intelligence brings a lot of advantages to eCommerce businesses, changing many parts of online retail.

Integrating AI can improve customer experiences by offering product suggestions, curated content, and better search results.

This creates a more engaging and relevant shopping journey for customers, which leads to better satisfaction and loyalty.

Using AI in eCommerce can also lead to increased gains in efficiency and cost savings. AI can manage repetitive tasks like sorting products, order fulfillment, and inventory management.

Consequently, integrating AI offers a competitive edge, enhances customer experiences, and ultimately leads to increased sales and revenue growth.

Now, lets take a look below and get to know about open source eCommerce platform Magento 2 (Adobe Commerce).

Magento 2 is one of the leading open source eCommerce platforms by Adobe. It features better performance and a strong architecture.

It is suitable for businesses of all sizes having flexibility and offering a wide range of features.

With Magento 2, businesses get a solid base for implementing AI solutions, allowing them to use advanced technologies and enhance their online shops as well as marketplaces.

Let’s continue forward to explore the use cases of Artificial Intelligence in Magento 2.

Let’s deep dive into the top use cases of Artificial Intelligence integration in Magento 2. We will check the different types of applications and implementations that can be used in it.

1) Voice Based AI Chatbot

Voice based chatbots are AI powered communication tool that use voice to understand and respond to commands. It can be integrated to Magento 2 for the following purposes,

• Offer round the clock 24/7 customer support.
• Help customers with product related queries.
• Provide aid in order tracking and giving status updates.
• Suggest product recommendations.

It can be a great tool and will be a way to connect with customers who prefer verbal communication over typing. This will also help in lowering support expenses.

2) Voice Based Booking System

Easily book appointments, tickets, or reservations just by talking. This AI-driven system connects directly with customers. Users will converse directly with an AI bot and get their booking done.

It can be implemented in the following ways for a Magento 2 store,

• Set up appointments for services or consultations.
• Handle ticket reservations for events or shows.
• Book tables at restaurants or rooms in hotels.

Using a voice-based booking system makes the reservation process smoother and cuts down on wait times to make things convenient for customers.

3) Artificial Intelligence Based Reports

Enabling AI based reporting system into Magento 2 will help businesses sort through their sales and reporting information. It can be done by using an AI driven interface in the admin backend.

This integration will utilize Generative AI to process text based questions and deliver appropriate results. It can also create SQL queries for custom searches and allow the users to save the reports.

The saved reports can then be viewed in different formats such as Bar charts, Pie Charts etc and access deep insights.

This type of reporting implementation with the help of Artificial Intelligence will help businesses make informed decisions based on data.

4) AI Image Search

AI Image search will use Artificial Intelligence to examine and interpret images that the customers upload.

It will use embedding similarity search method to look at the uploaded image and any existing image embeddings. After which, it will provide accurate and relevant search results both.

It reduces search difficulties for customers by enabling the customers to search quickly through visuals rather than relying only on text based searches.

5) AI Text Search (Semantic)

AI powered semantic text search enables the online store customers to search for products using natural language queries.

It can grasp related words and what users really mean to deliver precise results and also relevant or related results.

Example- “Do you have a Red Shirt under $30?” or “Show me Black Shoes with synthetic material”

It improves the overall shopping experience by helping customers locate what they want, no matter how they word their search.

6) AI Product Data Enrichment & Content Generator

Using AI models such as Gemini, Claude or ChatGPT, one can perform AI content generation. This integration can help create product descriptions automatically during the product creation process.

Admin can generate short descriptions, long descriptions, meta information etc. based on provided topics and queries.

It will significantly reduce the time and effort required for the Magento 2 admin to create product content while also maintaining good quality and engaging descriptions for customers.

7) AI based Review and Multi Site Translation

Incorporating AI based review translation will help the eCommerce store owners to manage multilingual reviews.

The reviews which have been published will be translated to the store’s base language using artificial Intelligence. It will make the reviews readable to all customers regardless of the native language.

This integration will help customers to better understand reviews which in turn will boost their confidence and influence their buying choice based on peer feedback.

Multi Site Translation using Generative AI

This feature enables businesses to translate websites from one base language to multiple languages using Generative AI. It enables them to cater to a global audience without human translation efforts.

AI maintains consistency across the translated versions and can keep them up to date if any changes are done to the original content.

8) AI OCR (Optical Character Recognition)

AI Optical character recognition allows to extract text from PDFs. It employs AI algorithms to accurately pull text from various from different layouts and formats.

It will also generate Orders that are not present in the store by pulling data from the PDF invoices. Hence, it allows businesses to manage orders from external sources more effectively.

By automating the process of text extraction, store admin can boost operational efficiency and minimize the mistakes caused by manual data entry.

9) AI Product Recommendation

Businesses can also integrate AI based product recommendations onto their Magento 2 websites. It will provide the customers with personalized product suggestions.

Suggestions will be provided by AI through embedding techniques to recognize and recommend related products.

It will suggest relevant products alongside currently viewed products, thus, enabling a better shopping experience and potentially increasing sales.

10) AI Image Background Removal

Image background removal is used to remove the backgrounds from product images with the help of LLM API. It enhances product listing by letting customers view products against clean white backgrounds.

The image quality is not degraded as well and admin can remove image background from multiple images in bulk.

It also helps to facilitate to easily integrate the product images into social media platforms and marketing materials.

Artificial Intelligence can greatly improve the Magento 2 store operations and how users experience them.

By using AI features, businesses can make their processes smoother, tailor their interactions with customers, and gather information about sales and customer habits.

Long term benefits of introducing AI to eCommerce include better efficiency, competitive edge and happy customers. Therefore, it is a smart choice to integrate AI with Magento 2.

That is much about the Top 10 Use cases of AI in Magento 2. If you require further assistance, you can drop an email to [email protected] or raise a ticket.