FINANCIAL SECTOR
GlobX
GlobX faced a critical challenge: the slowness and subjectivity of its analysis processes for investment decision-making. It took traders approximately 1.5 hours to analyze a single financial product, and for each trade, they needed to consolidate the analysis of up to 200 relevant global news items. This manual process not only generated significant inefficiencies and bottlenecks, but also entailed risks of millions in losses due to slow opportunity identification or risk mitigation. Furthermore, the need to analyze financial news quickly and accurately represented a major obstacle, as it relied heavily on human analysis, which was prone to errors and omissions.
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The Solution
We implemented an advanced digital platform that fully automates its analysis methodology. This included the development of a Python analytics library capable of automating more than 200 technical and fundamental analysis decisions. The platform was designed to be scalable and flexible, integrating advanced Artificial Intelligence capabilities for news analysis and a robust cloud architecture (AWS), enabling instant data processing and eliminating dependence on traditional databases.
Business Impact
Significant time savings: Inventory automation eliminated weekly manual counting, speeding up data updates and freeing up operational time.
Reduction of human errors: By automating the entry and exit of products with barcodes, control was standardized and the margin of error was minimized.
Improved decision-making: The dashboard provides a clear and agile view of the business's health, enabling more informed and timely decisions.
Reduction of losses: Thanks to FIFO control and demand predictions, the client was able to reduce waste and improve efficiency in input management.
Scalability and customization: The system is adaptable and ready to grow with the supply chain, allowing for quick adjustments and new features based on future needs.
