CLIENT CASE STUDY • SOCIAL MEDIA & E-COMMERCE
Building Pinterest's Shopping Experience Engine
Pinterest needed to enhance their shopping experience to bridge the gap between inspiration and purchase. We helped build the shoppable pins engine with real-time product catalog integration.

PROJECT SUMMARY
A partnership built for measurable momentum.
Pinterest needed to enhance their shopping experience to bridge the gap between inspiration and purchase. We helped build the shoppable pins engine with real-time product catalog integration.
Engagement length
Specialists assigned
Industry
Engagement model
THE CHALLENGE
The challenge worth solving.
Pinterest needed to build a scalable shopping experience that could process millions of product catalog updates daily while providing personalized recommendations to users.
Our expertise in high-scale distributed systems and machine learning integration made us the ideal partner.
Building a real-time shopping experience engine that processes 50M+ product catalog updates daily across 450M+ users.

THE SOLUTION
A solution designed to move faster.
We assembled a dedicated team of React, GraphQL, and Python engineers to build the shoppable pins infrastructure. Our team implemented real-time catalog synchronization and ML-powered product recommendations.
About Pinterest. Pinterest is a visual discovery engine used by over 450 million people worldwide to find ideas like recipes, home and style inspiration, and more. Their shopping features connect millions of users with products they love.
RESOURCES & TECHNOLOGIES
All technologies used.

THE OUTCOME
What we built together.
Over our 18-month engagement, we:
Built the shoppable pins engine processing 50M+ daily catalog updates.
Reduced product discovery latency by 70%.
Increased shopping-related engagement by 40%.
Enabled real-time inventory sync across 100K+ merchant partners.
Reduced product discovery latency by 70%.
Built the shoppable pins engine processing 50M+ daily catalog updates.
Enabled real-time inventory sync across 100K+ merchant partners.
Increased shopping-related engagement by 40%.
Redis capability integrated into the delivery roadmap.
Reduced product discovery latency by 70%.
React capability integrated into the delivery roadmap.
Enabled real-time inventory sync across 100K+ merchant partners.
COMMON QUESTIONS
Case study FAQs.

KIND WORDS
“WatchHow proved to be efficient in hitting every milestone in their most challenging roadmaps. They delivered ahead of schedule and exceeded our expectations.”Engineering ManagerPinterest
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