About The Client
While implementing the platform, it quickly became evident that there was a need to streamline customer inquiries and support requests efficiently. Handling large volumes of customer queries often resulted in delays and potential user frustration.
To address this challenge, Jaxel introduced the Pegbo AI Assistant, powered by LLM (Large Language Models). This AI Assistant harnesses advanced natural language processing to comprehend and promptly respond to customer inquiries.
Location: USA
Employees: >100 000
Project
To develop from the scratch the system with the simple and easy to use interface, both commerce frontend for renting and admin interface for contractors.
The system will include a robust commerce frontend that facilitates the renting of heavy equipment, allowing users to easily browse, compare, and select machinery based on their specific needs. Additionally, an intuitive admin interface will be developed for contractors, enabling them to manage their inventory, track rentals, and analyze performance metrics efficiently.
Our Services
Software Development
Cloud Transformation
Technology Consulting
Technologies used
Implementation & Architecture
LLM Framework
Utilized GPT-3 for its sophisticated understanding and generation of human-like text.
NLP Processing
Integrated TensorFlow and spaCy for parsing and understanding customer inquiries.
Cloud Computing
Deployed on AWS for scalable computing power and storage.
Database Management
MongoDB was chosen for storing customer inquiries and responses, facilitating quick data retrieval.
API Integration
RESTful APIs enabled seamless communication between the AI Assistant and Jaxel’s customer support database.
Solution
In response, Jaxel partnered with Pegbo to deploy the Pegbo AI Assistant, a sophisticated solution powered by Large Language Models (LLM) and employing advanced natural language processing (NLP) techniques.
Integration with Existing Systems
The AI Assistant was seamlessly integrated into Jaxel's customer support framework, ensuring no disruption to existing operations while transitioning to the AI-powered model.
Comprehensive Training
Leveraging a dataset of real customer inquiries, the AI Assistant underwent extensive training. This process equipped it to understand a wide range of customer questions and provide accurate, contextually relevant responses.
Adoption of Continuous Learning
To maintain its efficacy, the AI Assistant was designed to continuously learn from new inquiries and feedback, enhancing its response accuracy and speed over time.
Results
The deployment of the Pegbo AI Assistant brought transformative results to Jaxel's customer support operations:
Reduced Response Times
With the AI Assistant, Jaxel saw a dramatic decrease in the time taken to respond to customer inquiries, enhancing the overall user experience.
Enhanced Customer Satisfaction
The ability of the AI Assistant to provide prompt and accurate responses led to a significant improvement in customer satisfaction scores.
Operational Scalability
The AI Assistant's capacity to handle a large volume of routine inquiries autonomously allowed Jaxel to scale its operations without linearly increasing the size of the support team.
Competitive Edge
The improved efficiency and quality of customer support furnished Jaxel with a substantial competitive advantage, contributing to its growth and success in a bustling market.
Conclusion
The collaboration between Jaxel and Pegbo to implement the AI-powered Pegbo AI Assistant marks a significant milestone in customer support. By leveraging cutting-edge AI and NLP technologies, Jaxel has not only overcome the challenges of managing customer inquiries but also set a new standard for excellence in customer service. This case study exemplifies the transformative impact of innovative solutions on business operations, customer satisfaction, and market competitiveness.
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