Pharmaceutical supply chain platform for emerging-market healthcare providers
DrugStoc operates a procurement platform connecting healthcare providers to pharmaceutical suppliers across emerging economies, with a focus on supply-chain transparency and counterfeit prevention. The tech stack—Python, R, pandas, scikit-learn, TensorFlow, PyTorch, and BI tools (Power BI, Tableau, Looker)—reveals a data-science-heavy organization building predictive models for customer behavior and automated scoring, while grappling with data-quality issues and the operational friction of digitizing legacy processes.
DrugStoc is a Nigerian pharmaceutical procurement platform founded in 2016 that serves healthcare providers by consolidating supplier access and enforcing supply-chain security in emerging markets. The company operates a hybrid online/offline model to accommodate infrastructure constraints and fragmentation in the healthcare distribution channel. Current focus areas include expanding health maintenance organization (HMO) partnerships, reactivating dormant customers, and automating customer acquisition and scoring workflows. The organization is lean (51–200 employees, Lagos-based) and currently hiring across sales, data, and marketing roles at a decelerating pace.
Python, R, pandas, scikit-learn, NumPy, TensorFlow, PyTorch, SQL, and visualization tools (Power BI, Tableau, Looker). Stack emphasizes data science and statistical modeling over infrastructure.
HMO network expansion, predictive customer-behavior modeling, automated scoring models, and digital product launches. Also tackling data quality and process digitization internally.
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