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IAArchitecture & Software DevelopmentData AnalitycsProduct & IA Business Designhealth

AI Financial Assistant

Client

Ceranium laboratory

Services

AI, Financial Data Optimization and Sales Monitoring

Intelligent information management is a key pillar for strategic decision-making in any organization. At Logixs, we set ourselves the challenge of transforming the way companies interpret their data, connecting billing, employee, customer and sales performance information in a single platform.

Thanks to our system, companies can clearly and dynamically visualize essential indicators such as sales team productivity, transformation percentages, monthly goal achievement or customer behavior over time.

Our approach was not limited to centralizing information, but to creating a living tool, capable of converting data into useful and accessible knowledge. Through tables, interactive graphics and comparative analysis, we make it easier for each decision to be based on concrete evidence and a global vision of the business.

Challenges

  • Display historical billing, customer, and employee data in a unified platform that enables time-based analysis and trend tracking.
  • Display real-time billing, customer, and employee data with automatic updates and continuous synchronization.
  • Compare all data and generate automated reports with comparative analysis and performance metrics.
  • Chatbot capable of processing data and allowing users to request any type of company information in natural language.

Key Success Factors

01

Efficient GenAI Models

We implemented optimized generative artificial intelligence models that enable the chatbot to interpret natural language queries and generate accurate responses based on business data, making complex information accessible without requiring technical knowledge.
02

High-Availability Database

We used Amazon RDS for PostgreSQL, designed for high availability and data consistency, ensuring that critical business information is always accessible and maintains its integrity, even during demand peaks or system updates.
03

Automated Extraction and Updating

We developed a Python scraper with an initial full extraction and daily incremental updates, ensuring that data is always up to date without affecting the performance of source systems and maintaining real-time synchronization.
04

Intelligent Data Visualization

We created a visualization platform that transforms complex data into clear and actionable information through tables, interactive charts, and comparative analysis, allowing users to identify patterns, trends, and opportunities for improvement in an intuitive way.

Methodology

Business Needs Analysis

We carried out a comprehensive analysis of Ceranium’s business processes to identify the key metrics and the most relevant information flows for strategic decision-making.

User-Centered Design

We developed intuitive interfaces that allow non-technical users to easily access complex information, prioritizing user experience and ease of data interpretation.

Data Source Integration

We implemented an architecture that integrates multiple business data sources, ensuring data consistency and quality through automated validation and normalization processes.

Iterative Development and Optimization

We applied an agile methodology with iterative development cycles, allowing continuous adjustments based on client feedback and ongoing system performance optimization.

Results

"The AI financial assistant platform completely transformed the way Ceranium manages and analyzes its business information. Users can now access any company data through natural language queries, obtaining instant responses and detailed analysis.

This platform represents a step forward towards a more analytical, efficient and results-oriented business culture, where data stops being isolated numbers to become a real competitive advantage. The integration of historical and real-time data allows a 360° view of the business, facilitating strategic decisions based on concrete evidence."