AI case study

International Tennis Federation (ITF)Match analytics

Insights arrived hours after play; smaller nations had no analysts. Now every coach gets answers in seconds, without a courtside analyst.

Published

Key results

Data Points Per Match
700K+
Live Stat Combinations
1,500+

Result highlights

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The story

Context

The governing body of global tennis, organizing the world's largest annual women's team competition with 140-plus competing nations spanning fully staffed analytics programs to delegations relying entirely on intuition.

Challenge

Coaches have fewer than 30 seconds between points, but critical match insights historically arrived hours after play ended. This delay compounded a...

Solution
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Quotes

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The company

International Tennis Federation (ITF) logo

International Tennis Federation (ITF)

itftennis.com

Global governing body for world tennis and international tournament organizer.

IndustryEntertainment
LocationLondon, United Kingdom
Employees51-250
Founded1913

The implementation partner

Storm Reply logo

Storm Reply

reply.com
Role in this case study

Built a real-time intelligence platform and data ingestion layer for World Tennis's Match Insights app.

IndustryTechnology
LocationTurin, Italy
Employees10K-50K
Founded1996

The vendor

Enterprise software, cloud infrastructure, and consumer electronics platform.

IndustrySoftware & Platforms
LocationRedmond, WA, USA
Employees100K+
Founded1975

Use case

International Tennis Federation (ITF)'s Match analytics is part of this use case:

Data Intelligence
88 case studies(+289% YoY)
Proven impact?
LowModerateVery Strong
3.9Moderate
1.6Lowwithin Entertainment
3.6Moderatewithin Product Engineering

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