Artificial Intelligence (AI) is a game changer in e-commerce and its integration into Magento 2, a leading e-commerce platform, is very 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, businesses and organizations are looking for creative ways to improve the customer experience. They strive to make the customer experience smooth and efficient.

The use of AI in Magento 2 stores is increasing and brings many benefits and expansion options.

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

Thus, thanks to these LLMs, various use cases can be developed and integrated on a tailor-made basis.

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

Artificial intelligence brings many benefits to e-commerce businesses, changing many aspects of online retail.

Integrating AI can improve the customer experience by providing product suggestions, curated content, and better search results.

This creates a more engaging and relevant purchasing journey for customers, leading to better satisfaction and loyalty.

The use of AI in e-commerce can also lead to increased efficiency gains and cost savings. AI can handle repetitive tasks like sorting products, fulfilling orders, and managing inventory.

Therefore, AI integration provides competitive advantage, improves customer experience, and ultimately leads to increased sales and revenue.

Now let’s take a look below and learn about the open source e-commerce platform Magento 2 (Adobe Commerce).

Magento 2 is one of Adobe’s leading open source e-commerce platforms. It features better performance and solid architecture.

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

With Magento 2, businesses have a solid foundation for implementing AI solutions, allowing them to use advanced technologies and improve their online stores and marketplaces.

Let’s continue exploring the use cases of artificial intelligence in Magento 2.

Let’s take an in-depth look at the main use cases of AI 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 chatbots are AI-powered communication tools that use voice to understand and respond to commands. It can be integrated with Magento 2 for the following purposes,

• Offer 24/7 customer support.
• Assist customers with product-related queries.
• Provide order tracking assistance and provide status updates.
• Offer product recommendations.

This can be a great tool and will be a way to connect with customers who prefer verbal communication over keyboard typing. This will also help reduce support costs.

2) Voice reservation system

Easily book appointments, tickets or reservations just by speaking. This AI-based system connects directly with customers. Users will converse directly with an AI bot and make their reservation.

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

• Schedule appointments for services or consultations.
• Manage ticket reservations for events or shows.
• Reserve tables in restaurants or hotel rooms.

Using a voice reservation system makes the reservation process smoother and reduces wait times to make things more convenient for customers.

3) AI-powered reporting

Enabling an AI-based reporting system in Magento 2 will help businesses sort out their sales and reporting information. This can be done using an AI-based interface in the admin backend.

This integration will use generative AI to process text-based questions and provide appropriate results. It can also create SQL queries for custom searches and allow users to save the reports.

The saved reports can then be viewed in different formats such as bar charts, pie charts, etc. and access in-depth information.

This type of reporting implementation using artificial intelligence will help businesses make informed decisions based on data.

4) AI Image Search

AI Image Search will use artificial intelligence to review and interpret images that customers upload.

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

It reduces search pain for customers by allowing them to quickly search using visuals rather than relying solely on text searches.

5) AI Text Search (Semantic)

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

It can capture related words and what users actually mean to provide accurate results as well as relevant or related results.

Example- “Do you have a red shirt for under $30?” » or “Show me some black synthetic shoes”

It improves the overall shopping experience by helping customers locate what they want, regardless of how they phrase their search.

6) AI Product Data Enrichment and Content Generator

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

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

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

7) AI-based review and multi-site translation

Integrating AI-based review translation will help e-commerce store owners manage multilingual reviews.

Posted reviews will be translated into the store’s base language using artificial intelligence. This will make reviews readable by all customers, regardless of their native language.

This integration will help customers better understand reviews, which will build their trust and influence their purchasing choice based on feedback from their peers.

Multi-site translation using generative AI

This feature allows businesses to translate websites from one base language to multiple languages ​​using generative AI. This allows them to speak to a global audience without human translation efforts.

The AI ​​maintains consistency between translated versions and can keep them up to date if changes are made to the original content.

8) AI OCR (optical character recognition)

AI Optical Character Recognition helps extract text from PDFs. It uses AI algorithms to accurately extract text from different layouts and formats.

It will also generate orders that are not present in the store by extracting data from PDF invoices. Therefore, this allows businesses to manage orders from external sources more efficiently.

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

9) AI product recommendation

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

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

It will suggest relevant products alongside currently viewed products, allowing for a better shopping experience and potential increase in sales.

10) AI Image Background Removal

Image background removal is used to remove backgrounds from product images using the LLM API. It enhances the product listing by allowing customers to view products on a clean, white background.

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

This also makes it easier to integrate product images into social media platforms and marketing materials.

Artificial intelligence can greatly improve Magento 2 store operations and the way users experience them.

By using AI capabilities, businesses can streamline their processes, adapt their interactions with customers, and gather insights into sales and customer habits.

The long-term benefits of introducing AI into e-commerce include improved efficiency, competitive advantage, and satisfied customers. It is therefore a wise choice to integrate AI into Magento 2.

These are largely the top 10 use cases for AI in Magento 2. If you need further assistance, you can send an email to [email protected] or raise a ticket.