AI case study

PharmaOverseasSupply chain operations

Manual checks missed early shipments that inflated inventory. AI now flags delivery variances and matches invoices automatically.

Published|5 months ago

Key results

Inventory Cost Reduction
5-10%
Faster Reporting
2x

Result highlights

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The story

Context

One of Egypt's largest pharmaceutical distributors manages a network of 44 branches and 600 vehicles to deliver over 13,000 healthcare products.

Challenge

Reliance on manual processes created significant delays in the sales cycle and obscured visibility into logistics data. Staff could not easily...

Solution
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Quotes

The company

PharmaOverseas logo

PharmaOverseas

pharmaoverseas.com

Pharmaceutical distribution and logistics provider for the Egyptian healthcare market.

IndustryPharmaceuticals & Biotech
LocationCairo, Egypt
Employees1K-5K
Founded1995

The vendor

SAP is an enterprise software company that provides comprehensive business solutions for data management and digital transformation across various industries.

IndustrySoftware & Platforms
LocationWalldorf, Germany
Employees100K+
Founded1972

The implementation partner

Phoenix Consulting logo

Phoenix Consulting

phoenix-mea.com
Role in this case study

Developed and trained generative AI models to help PharmaOverseas automate manual processes.

IndustryTechnology
LocationCairo, Egypt
Employees51-250
Founded2013

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