What AI tools did Super-Pharm use?

Super-Pharm used Google Gemini, Google BigQuery, Google Vertex AI in this implementation within the Retail sector.

What business function does this AI use case address?

This use case focuses on Supply Chain, demonstrating how AI can drive impact in that area.

RetailSupply Chain

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.

Outcomes

50% to 90%Inventory Accuracy

10x improvementForecasting Efficiency

Tools & Technologies

Google Gemini

Google multimodal AI model family

Google BigQuery

Serverless enterprise data warehouse for analytics

Google Vertex AI

Google Cloud unified ML platform for building, deploying, and scaling AI models and generative AI applications.

AI Categories

Large Language Models

ML Platform

Data Platform

Business Intelligence

Developer Tools

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.

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.

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