Jarvis is an advanced AI-generated content (AIGC) customer service system specifically developed to address the chronic inefficiencies of customer support in Brisbane-based businesses. Current customer service channels in Brisbane such as those provided by major companies including Telstra and Uber primarily rely on scripted responses and manual customer service, resulting in delayed replies and frequently unresolved customer issues. Jarvis addresses these shortcomings by deploying LLM(Large language models)-powered intelligent agents capable of perfect natural language understanding, dynamic contextual conversations, and real-time problem-solving. The platform offers highly customizable functionalities, allowing companies to integrate proprietary manuals, user guides, and internal knowledge repositories. Inspired by leading AI agent platforms like Baidu’s ERNIE Bot Platform and Coze Intelligent Agent Platform, Jarvis delivers an intuitive, engaging, and effective customer support experience.
Name: Si Chen
Student number: 47975372
Jarvis provides an extensive set of intelligent customer support features, including:
Jarvis is designed to deliver continuous and immediate customer support services, eliminating common frustrations associated with delayed or unavailable customer representatives. The system can significantly improving user satisfaction by ensuring uninterrupted availability.
Powered by state-of-the-art LLM models(ChatGPT,Wenxin form Baidu, Qwen from Alibaba Cloud,Deepseek), Jarvis intelligently analyzes and interprets customer inquiries, generating contextually appropriate responses in real-time. This functionality drastically improves resolution accuracy and reduces reliance on human operators.
Unlike traditional customer service systems, Jarvis supports customizable integration of company-specific information, even can customize the personality of the customer service bot through prompt. Companies can upload and dynamically integrate their proprietary product manuals, customer service guidelines, and user documentation directly into Jarvis, ensuring precise, relevant, and accurate customer interactions.
Jarvis’s architecture is deliberately modular, facilitating rapid customization and scalability. Enterprises can efficiently tailor Jarvis to meet unique industry or corporate-specific customer support scenarios without extensive redevelopment. You only need to do is just creating a new knowledge base and a Q&A library and modifying the basic prompts. The system leverages comprehensive APIs and integration frameworks for seamless extensibility.
Jarvis goes beyond routine transactional interactions, providing capabilities to engage customers in friendly, casual conversations that remain contextually relevant. This fosters a more personalized customer experience, positively influencing customer perceptions while maintaining professionalism.
An integrated analytics dashboard continuously tracks critical metrics such as customer satisfaction, response accuracy, availability uptime, and query resolution efficiency. Customers can comment and suggest improvements after each answer, or they can learn from their answers. Businesses can leverage these insights to proactively enhance customer service performance and refine internal support strategies.
Jarvis easily integrates into existing customer service channels, including websites, mobile apps, and popular messaging platforms. This interaction ensures that users receive consistent, high-quality support across all customer-facing digital media.
To demonstrate feasibility and effectiveness, Jarvis’s initial MVP includes the following core functionalities:
A straightforward and intuitive chat-based user interface(may influnced by the different customer companys), allowing customers to input queries and receive real-time responses.
Implementation of LLM-based intelligent agents capable of handling typical customer inquiries commonly faced by Brisbane businesses(may expand in future), particularly order management, billing inquiries, and basic troubleshooting, etc.
Essential functionality enabling businesses to upload and integrate standard operational documents, including customer manuals, product descriptions, and FAQs, providing Jarvis the necessary contextual knowledge.
Built-in rating system to capture immediate customer feedback post-interaction, allowing evaluation of support quality and effectiveness.There will be a comment button after each answer for the customers.
Basic visualization tools for real-time tracking of key performance indicators (KPIs) like customer satisfaction, issue resolution rate, and system reliability.
Jarvis’s success depends significantly on three prioritized quality attributes:
Definition:
Jarvis must provide uninterrupted, continuous operation to ensure customer support availability whenever required by users.
Measurement Criteria:
Rationale:
Constant accessibility directly addresses Brisbane’s prevalent issue of delayed customer support responses, establishing reliable expectations and building consumer trust.
Definition:
Reliability encompasses consistent system stability, accurate query handling, and minimal operational errors.
Measurement Criteria:
Rationale:
Customers frustrated by frequent inaccurate answers or system instability are less likely to trust automated support channels. Therefore, reliability directly impacts customer satisfaction and adoption rates.
Definition:
Jarvis must efficiently adapt to various business contexts by supporting the quick integration of new information, functionalities, and customizations demanded by diverse enterprise environments.
Measurement Criteria:
Rationale:
Rapid extensibility is essential due to the diverse and evolving nature of customer service requirements across different companies and industries.
The priority ranking for these quality attributes is:
In case of any conflicts or resource constraints, availability is the critical attribute to maintain, followed by reliability, with extensibility treated as a valuable but secondary priority.
Availability will be systematically measured using automated monitoring solutions:
Jarvis’s reliability will be thoroughly assessed by the following methods:
Extensibility performance will be rigorously validated by real-world scenario tests:
Jarvis draws substantial inspiration from established AI-agent platforms recognized for their enterprise-grade capabilities:
These frameworks provide a foundational design philosophy that has significantly influenced Jarvis’s architecture, ensuring industry-leading performance and adaptability.
Jarvis represents a transformative approach to addressing persistent customer service challenges in Brisbane. By harnessing advanced LLM-based AI agents and emphasizing core quality attributes(availability, reliability, and extensibility). Jarvis significantly enhances customer service interactions. Businesses adopting Jarvis will experience substantial improvements in customer satisfaction, operational efficiency, and brand reputation, positioning themselves advantageously within competitive markets. Rigorous, ongoing evaluations ensure Jarvis remains effective, efficient, and responsive to evolving business and customer needs, ultimately redefining customer support standards throughout Brisbane.