Odoo Mobile Commerce AI Chatbot using ChatGPT and Llama 3

Introducing the real-time Odoo Mobile Commerce AI Chatbot cutting-edge solution powered by ChatGPT and Llama 3 for eCommerce mobile apps.

AI Chatbot is a virtual assistant powered by the Llama 3 Large language model which aims to provide intelligent responses and assistance.

This AI Chatbot is designed for online stores and it is developed with data from the Vector database and the Open Source LLM.

It supports multi-lingual language where the customers can ask queries to the Chatbot in their desired languages.

Check out the working of the Odoo AI Chatbot using Llama 3 on the Odoo mobile app –

The Llama or Large Language Model is a family of LLMs like GPT-4 and Gemini introduced by Meta and trained on a massive amount of text data.

The first version of the model was released in four sizes — 7B, 13B, 33B, and 65 billion parameters.

Llama 3 is an “open weights” model. That means that the model itself is open source and can be integrated using Odoo development services.

Llama 3 boasts better reasoning abilities, and code generation, and can follow instructions more effectively.

It uses a decoder-only transformer architecture, like its predecessors and the GPT series of models.

The Odoo Mobile Commerce AI Chatbot enhances customer interactions by delivering personalized assistance on their mobile phones.

AI chatbot provides instant responses to customer queries and concerns and minimizes customers’ waiting time.

Customers can ask the AI Chatbot any queries related to the products, categories, and attributes.

Let’s see how we added the AI Chatbot using ChatGPT and Llama 3 to the Odoo mobile app with some use cases in the Odoo mobile app.

First of all, the customers will see a chat icon on the homepage of the front-end store.

Once clicking on the chat icon the users will see a page where they found a welcome message from the AI Chatbot as you see in the above image.

Now, let’s ask some queries to the AI Chatbot related to products and attributes and see how it responds.

Customers can ask for the specific product that is available or not at the store through the AI Chatbot virtual assistant.

They will receive a quick NLP response by getting the particular product name as a response to the asked query.

Even if customers can ask for the product page link they will receive the accurate page link for the product.

Here the users can ask about the various customizable options such as color, size, and more for a product.

The customer can also ask for a description of a specific product that is available in the store and will receive the full description of the product.

As you can see in the above image how the AI Chatbot responded quickly to the product description.

Customers can also ask queries related to the attributes of the products and will receive an accurate list of products.

As you can see in the example, where a particular attribute i.e. fabric of the product has been ask and the AI Chatbot responds with a list of products with the same attribute.

Let’s ask for the other attributes of the product and see how the AI Chatbot will give the responses.

As you can see the AI Chatbot responded with the number of products along with the description of each product.

AI Chatbot supports multiple languages which allows the customers to ask queries to the Chatbot in several languages.

And the customers will receive the response in the same language they have asked.

Booking Management: Guests can use chatbots to check room availability and can also make, change, or cancel bookings without speaking to a human.

Language Support: Chatbots can handle many languages. which helps international guests communicate more easily.

Promotions and Offers: Chatbots can inform guests about special promotions, discounts, and packages.

24/7 Guest Assistance: The Chatbot can provide 24/7 guest assistance helping them with inquiries, bookings, and requests at any time of the day or night.

That was about the Odoo Mobile Commerce AI Chatbot using ChatGpt and Llama 3.

For any queries or doubts drop us an email at [email protected] or raise a ticket at our HelpDesk system.