Pharmaceutical and health-beauty distributor across Brazil
GAM is a pharmaceutical and health-beauty distributor operating across Brazil with 500+ employees, founded in 1968 and headquartered in Santa Catarina. The company's tech stack reveals a logistics operator in early-stage digital transformation: Python, SQL, and PostgreSQL indicate custom backend work, while heavy adoption of RPA, Power BI, and generative AI tools (ChatGPT, Claude, Gemini) suggests automation of manual processes rather than platform-native workflows. The hiring surge is skewed toward logistics (14 roles) and operations (11 roles) with junior-heavy seniority mix, paired with pervasive inventory and stock accuracy pain points—a pattern typical of companies scaling distribution networks faster than their systems can track.
GAM distributes pharmaceuticals, health, hygiene, and beauty products to pharmacies, drugstores, and health-focused retailers across Brazil. Founded in 1968, the company has grown into one of Brazil's largest medicine distributors, positioning itself as a connector between manufacturers and point-of-sale channels. Operations span logistics hubs, distribution centers, and field sales across the country. The company employs 501–1,000 people, with strategic focus on operational continuity, inventory accuracy, and delivery quality as core competitive drivers in a regulated, time-sensitive market.
Python, SQL, PostgreSQL, Oracle Database, Windows, Linux. Recent tools: RPA, Power BI, ChatGPT, Claude, Gemini for automation and data visualization. n8n for workflow automation.
Inventory accuracy and stock management are top pain points, including stock discrepancies, inventory mismatches, and continuity of distribution center operations. Process automation and delivery quality are also in focus.
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