Case Study: GS1 México achieves faster, more accurate pharma data extraction with Devoteam and AI

A Devoteam Case Study

GS1 Mexico boosts data correction rates past 95% with Devoteam

GS1 Mexico, the organization managing global business standards and barcodes in the country, faced critical operational bottlenecks in its pharmaceutical verification service. These blockages were caused by manual classification and transcription processes that were prone to errors. To achieve total automation and extreme precision, they partnered with Devoteam.

Devoteam implemented a serverless "Farma Data Extractor" API on Google Cloud Platform using a multi-node generative AI architecture with Google GenAI (Gemini). This solution automated the extraction and validation of complex data, achieving a greater than 95% correction rate and reducing processing time from hours to seconds. The results provided GS1 Mexico with measurable speed, accuracy, and automatic scalability, empowering their staff to focus on quality validation and paving the way for expansion into other sectors.


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