How Super-Pharm Uses Vertex AI to Improve Inventory Accuracy from 50% to 90%
Super-Pharm leveraged Google Vertex AI for ML-powered demand forecasting, improving inventory accuracy from 50% to 90% and making forecasting 10x more efficient.
Impact
50% to 90%
Inventory Accuracy
10x improvement
Forecasting Efficiency
Challenge
On-premise systems could not keep pace with data volumes for tens of thousands of products, causing stockouts, abandoned carts, and lost revenue.
Solution
Migrated to Google Cloud with Vertex AI for ML-powered demand forecasting, BigQuery for data analysis, and Gemini AI for automatic product categorization.
Tools & Technologies
What Leaders Say
“Vertex AI offered us the most advanced options for ML models, along with an intuitive, user-friendly interface.”
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Full Story
Super-Pharm, a leading pharmacy and beauty retail chain, struggled to predict customer demand for tens of thousands of products. On-premise systems could not handle growing data volumes, resulting in abandoned carts, stockouts, and lost revenue.
The company migrated to Google Cloud, leveraging Vertex AI for machine learning-powered demand forecasting, BigQuery for data analysis, and Gemini AI for automatic product categorization on its marketplace.
Inventory accuracy improved dramatically from 50% to 90%, demand forecasting became 10x more efficient, and the customer journey was significantly optimized.
