AI case study

Super-PharmDemand forecasting

Legacy tools left inventory accuracy at 50%. Vertex AI now predicts store-level demand, driving accuracy to 90%.

Published|1 year ago

Key results

Forecasting Accuracy
90%
Forecasting Efficiency
up to 10x

Result highlights

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The story

Context

Israel's leading pharmacy retailer operates over 370 branches and a rapidly growing ecommerce platform where online revenue recently surpassed brick-and-mortar sales.

Challenge

Legacy on-premise systems could not process the data volume required for click-and-collect logistics, leaving inventory forecasting accuracy at just...

Solution
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Quotes

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The company

Retail pharmacy and drugstore chain for health, beauty, and household goods.

IndustryRetail
LocationHerzliya, Israel
Employees5K-10K
Founded1978

The AI provider

Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.

IndustryTechnology
LocationMountain View, CA, USA
Employees100K+
Founded1998

The implementation partner

Planned and built Super-Pharm's landing zone and migrated its on-premise systems to Google Cloud.

IndustryTechnology
LocationTel Aviv, Israel
Employees11-50
Founded2016

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