AI case study

El Ezaby PharmacyMedical knowledge search

With three doctors serving 400 stores, queries took 24 hours. GenAI now mines 500k files to cut response times by 70%.

Published|1 month ago

Key results

Response Time Reduction
70%
Satisfaction Improvement
50%
Workload Reduction
25%

Result highlights

Unlock 4 result highlights

The story

Context

An Egyptian pharmacy chain with over 400 branches relies on a central academy of senior doctors to provide medical advice and treatment verification to frontline staff.

Challenge

With only three senior doctors fielding consultations from the entire network, critical queries often took between two and 24 hours to resolve. High...

Solution
Unlock full story

Quotes

Unlock 2 more quotes

The company

El Ezaby Pharmacy logo

El Ezaby Pharmacy

elezabypharmacy.com

Retail pharmacy chain providing medications and personal care products.

IndustryRetail
LocationCairo, Egypt
Employees1K-5K
Founded1945

The AI provider

Amazon Web Services (AWS) logo

Amazon Web Services (AWS)

aws.amazon.com

Cloud computing platform and on-demand infrastructure services.

IndustryTechnology
LocationSeattle, WA, USA
Employees100K+
Founded2006

The implementation partner

Built the EzBot generative AI chatbot for El Ezaby to help pharmacists verify medical treatments.

Similar Case Studies

Related implementations across industries and use cases

158 AI case studies in Retail

268 AI case studies in Knowledge Management