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QA Case Study: Via Analytics

Product

Web App

Industry

Query Engine

Location

USA

AI Chatbot for Analytics on Financial Data

The LLM based chatbot is intended to be used with financial and accounting softwares such as Quickbooks to provide data analytics, data insights and visualizations.

Via Analytics is an innovative Generative AI solution designed to enhance business decision-making through advanced data analysis. Integrated seamlessly with QuickBooks, this AI chatbot serves as a dedicated assistant, providing valuable insights on a user-friendly platform. It simplifies data management, helping businesses overcome challenges in today’s data-driven environment.

Users can input details such as orders, products, customers, and income, and receive comprehensive answers to business queries. Via Analytics identifies improvement areas, analyzes deviations, and calculates key metrics. It also generates charts and graphs to visually represent data like expenses and sales trends, enabling quick and informed decision-making.

Benefits of Via Analytics Chatbot

  • Cost Efficiency: Provides valuable insights at a lower cost compared to hiring external consultants.
  • Enhanced Decision-Making: Empowers users to make informed decisions quickly through real-time data analysis.
  • Time Savings: Automates data retrieval and analysis, freeing up time for strategic planning.
  • Improved Accuracy: High-quality data insights help minimize errors and enhance financial accuracy.
  • Scalability: Grows with the business, accommodating increased data complexity and volume.
  • Continuous Improvement: Ongoing enhancements in response quality through user feedback and interaction analysis.
  • Actionable Insights: Not only identifies problems but also provides guidance for improvement.
  • Enhanced Communication: Visual data representations facilitate better understanding and communication of business performance.
  • Streamlined Operations: Simplifies data management tasks, reducing complexity and enhancing operational efficiency.

Key Features

Seamless Integration with QuickBooks

Directly connects with QuickBooks for streamlined data access and management.

Advanced Data Analytics

Provides in-depth analysis of financial data, identifying trends and anomalies.

User-Friendly Interface

Intuitive design that makes navigation easy for users of all technical backgrounds.

Real-Time Insights

Delivers immediate answers to business queries, enhancing decision-making speed.

Visual Data Representations

Generates charts and graphs to help users easily interpret complex data.

Customizable Queries

Users can input specific details related to orders, products, customers, and income.

Multi-Source Data Compatibility

Future-proof design allowing integrations with other platforms like Shopify and Stripe.

Secure Data Handling

Compliant with OWASP security standards, ensuring protection of sensitive financial data.

Challenges

  • Low Answer Quality: The quality of answers was not satisfactory in the initial phases, with overall accuracy at less than 30%, far below the expected threshold of 80%.
  • Slow Response Times: The time taken to generate answers was too high, with visualizations sometimes taking more than 1 minute to generate.
  • Inconsistent Performance: The chatbot's responses were erratic; repeatedly asking the same question produced different results with no correlation to other parameters.

Solutions

  • Series of testing phases were conducted in coordination with the client. The client will perform test cases on AI with real-world data and provide feedback on incorrect responses. This feedback was then used to improve the quality of prompt engineering in AI.
  • The AI background implementations were revamped to be more direct. The possible options for AI on QuickBooks were streamlined.
  • Appropriate models were selected for specific scenarios. Claude from Anthropic was used in analytical and code generation parts of the chatbot, while OpenAI models were used for other scenarios.
  • To improve response times, newer and more efficient models were chosen. Optimizations were also implemented in the AI flow diagram to skip certain steps based on the nature of the query.
  • Lighter LLM models were chosen for simpler tasks like summarization, which reduced both response time and cost.

Values we delivered

  • Cost-Efficient Analytics: The chatbot offers great value for small business owners to gain insights from their financial/accounting data in a cost-effective way.
  • Expert-Level Data Insights: The generalized knowledge of LLM, combined with users' current financial data, allows Via Analytics to provide well-measured insights. (For example, Via Analytics can provide guidance on future steps for a company CFO based on current quarter financials.)
  • Secure Solution: Financial data requires special security measures to ensure protection and provide user assurance. Via Analytics complies with OWASP security standards, retrieving financial data on demand without persisting it within the app.
  • One-Stop Analytics for All Data Sources: The chatbot accommodates future integrations with data sources like Shopify and Stripe, enabling unique, multi-paradigm data analytics.
  • Continuous Improvement Cycle: Via Analytics provides an automated feedback mechanism, allowing users to continuously improve response quality based on their expectations.
  • Enhanced Decision-Making: By providing real-time insights and data analysis, the chatbot empowers businesses to make informed decisions quickly, enhancing operational efficiency.
  • Time Savings: Automating data retrieval and analysis saves users significant time, enabling them to focus on strategic activities rather than manual data management.
  • Actionable Insights: The chatbot not only identifies issues but also offers improvement suggestions, helping businesses implement corrective measures effectively.
  • Visual Data Representation: Generating charts and graphs simplifies complex data comprehension, facilitating better communication and understanding of business performance.
  • Streamlined Operations: Integrating seamlessly with QuickBooks, the chatbot simplifies data entry and retrieval, reducing the complexities associated with traditional data management systems.
  • Proactive Business Management: The ability to analyze trends and deviations enables businesses to anticipate issues and adapt strategies proactively, fostering a culture of continuous improvement.
  • User-Friendly Interface: The intuitive design ensures accessibility and usability for users of all technical backgrounds.
  • Scalability: As businesses grow, the chatbot scales with them, accommodating increased data complexity and volume without sacrificing performance.

Conclusion

The Via Analytics LLM-based chatbot successfully addresses the challenges of data management and decision-making in the financial sector. Through iterative testing, model optimization, and user feedback, the chatbot has evolved into a powerful tool that enhances operational efficiency and provides actionable insights. Its integration with QuickBooks and potential for future data source connections position it as a valuable asset for businesses looking to thrive in a data-driven landscape.

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