Automotive
4 Weeks
USA
Motorcycle enthusiasts often face challenges in obtaining specific, accurate information about motorcycle models, colors, and alternatives from traditional sources, leading to frustration and inefficiencies. Traditional chatbots often struggle to deliver personalized, real-time assistance for motorcycle enthusiasts. These systems rely on generalized data, making it difficult to provide accurate and specific information about motorcycle models, features, and preferences. As a result, users are left without tailored recommendations, leading to frustration and missed opportunities for informed decision-making.
Our client partnered with Tezeract to create an AI-powered CustomGPT tool designed to act as a personal assistant for users. This tool aims to deliver personalized information, engage website visitors with tailored responses, and effectively convert them into leads.
Gearguide is a CustomGPT tool specifically designed as an AI assistant for the automotive industry, leveraging Retrieval-augmented generation (RAG) technology. Unlike traditional chatbots, Gearguide is a rag-based chatbot trained exclusively on motorcycle-related information from the website, ensuring accurate and relevant responses for enthusiasts. This AI-powered chatbot provides real-time, 24/7 support, engaging users and offering personalized suggestions based on their preferences, such as specific motorcycle models, colors, or alternatives.
By utilizing RAG technology, Gearguide delivers a highly customized experience, enabling users to make well-informed decisions. This Retrieval-augmented generation case study demonstrates the success of the CustomGPT chatbot in revolutionizing customer engagement in the automotive sector, offering precise, tailored recommendations and seamless user interactions.
One of the main challenges in developing Gearguide was training the chatbot using Retrieval-augmented generation (RAG) technology. Unlike generic chatbots that use large, generalized datasets, Gearguide had to be specifically trained on motorcycle-related data sourced from the website, requiring careful data curation and optimization to ensure accurate and contextually relevant responses.
Creating a seamless, personalized user experience posed a challenge in delivering real-time assistance. Gearguide needed to accurately identify user preferences, such as specific models, colors, and features, while quickly retrieving and processing data to provide tailored recommendations during each interaction.
Since Gearguide was designed to provide round-the-clock support, ensuring its continuous performance without interruptions or downtime was critical. The development team needed to optimize the bot’s architecture to handle high volumes of requests efficiently while maintaining response accuracy and speed.
We aligned with the business vision to develop a thorough project brief, which included extensive market research, competitor analysis, and relevant data. We then brought the concept to life by defining a detailed list of user stories and features to validate the core assumptions of the MVP.
We started by designing the key screens to show the client the product’s look. After refining the UX/UI through client feedback. Once these primary screens were finalized, we expanded the design to cover all additional screens and delivered the complete UX/UI for the product.
At this stage, we focus on developing the AI assistant for automotive industry by crafting the architecture of the AI model and training it.
After the product launch, we collected feedback from end-users to refine and enhance the product. We introduced new iterations and features concurrently to ensure an optimal user experience.
Give your customers personalized, in-context support with an AI-powered motorcycle assistant
Gearguide can recommend motorcycles and share valuable information to help customers make confident purchases
Provide precise and accurate responses to users without delivering them vague responses.
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