What challenges did iZooto face before AI implementation?

Deliver tens of billions of notifications daily with low latency and cost efficiency while integrating with Firebase for Android/Chrome users. Reduce customer complaints about push delays and lower network egress costs.

What was the impact of the AI solution?

40% fewer customer complaints about notification push delays. 90% network egress cost savings. ~30% cost savings on Compute Engine for private network access. Sends ~35M notifications in under five minutes. Drives 11–17% incremental page views and ~30% session time increase.

Source

GCPEvidence: Medium50/100

iZooto case study | Google Cloud

Use case typeCustomer personalizationUpdated Jun 13, 2026

iZooto uses Google Cloud to deliver 27B+ daily notifications, boosting engagement, retention, and monetization for global publishers. The platform supports an AI-powered recommendation engine for personalized content and uses Google Cloud services including Vertex AI, Document AI, BigQuery, Pub/Sub, Translation AI, Compute Engine, Google Kubernetes Engine, Cloud SQL, Cloud Storage, and Firebase.

Organization: iZooto
Industry: Tech & Comms
Location: India
Published: June 2026

Reported outcomes

40%

quantified impactCustomer experience

−90%cost−30%cost11-17%time

Strategic outcomes

New product / capabilityBuilt an AI-powered recommendation engineCost efficiencyReduced network egress costsSpeed & agilityEnabled low-latency notification deliveryCustomer experience & trustReduced customer complaints about delays

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Quantified impact: 40%

Google Cloud Customer StoriesJun 3, 2026Customer storyInferred claimMedium evidence strength

40% fewer customer complaints about notification push delays.

Normalized claim

Cost: 90% decrease

Google Cloud Customer StoriesJun 3, 2026Customer storyInferred claimMedium evidence strength

90% network egress cost savings.

Normalized claim

Cost: 30% decrease

Google Cloud Customer StoriesJun 3, 2026Customer storyInferred claimMedium evidence strength

~30% cost savings on Compute Engine for private network access.

Normalized claim

Time: 11-17% increase

Google Cloud Customer StoriesJun 3, 2026Customer storyInferred claimMedium evidence strength

Drives 11–17% incremental page views and ~30% session time increase.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: iZooto
Provider: GCP
Maturity: Unknown
Linked source: Google Cloud Customer Stories

No explicit deployment-stage evidence found.

Customer identity supportedSource describes one deploymentMaturity evidence evaluated

Primary read

Use case focus

Showing 3 of 3

1AI personalization
2Notification delivery optimization
3Customer engagement

Deliver tens of billions of notifications daily with low latency and cost efficiency while integrating with Firebase for Android/Chrome users.
Reduce customer complaints about push delays and lower network egress costs.

Migrated and architected notification delivery using Compute Engine and Google Kubernetes Engine for low-latency delivery.
Used private network access to Firebase to reduce egress costs and notification latency.
Built an AI-powered recommendation engine with Vertex AI to personalize content.
Used Google Cloud AI/ML services including Document AI and Translation AI as part of the platform.

Technologies

Vertex AI Document AI BigQuery Pub/Sub Translation AI Compute Engine Google Kubernetes Engine Cloud SQL Cloud Storage Firebase