Create engaging product ownership experiences
Confidently develop and deploy AI-enabled features in the cloud or deliver over the air (OTA) to your product.
Improve customer feedback loops
Seamlessly combine product, service, user app, support, and point of sale in a data lake to create a feedback loop between products and customer outcomes.
Accelerate product roadmap
Rapidly configure, deploy, and integrate with your existing tech investments to prove business value fast.
Intelligent Products Essentials
This solution contains software to help manufacturers rapidly launch intelligent features for their products on Google Cloud, including:
2. Microservices - Secure, scalable API services built with Google Kubernetes Engine for accessing product telemetry and AI insights in applications.
4. User App - Connect apps via APIs and track app behavior analytics with Firebase.
Pre-built app templates
This solution contains pre-built app templates that allows manufacturers to easily build connected product experiences, including:
1. Ownership App - Pre-built Angular JS UI components to incorporate product registration, identity management, product analytics, and notifications into a mobile- and desktop-compatible product ownership app, while providing customer behavior analytics in Firebase.
Intelligent products customers
Key documents to help you get started
Intelligent Products Essentials - reference architecture
Technical reference architecture of Intelligent Products Essentials on Google Cloud.
Train an AutoML model for edge deployment
Train an AutoML Edge model using Vertex AI API.
Provide a compelling ownership experience that evolves over the lifetime of the product, by providing capabilities such as personalized support via a chatbot to quickly resolve support incidents with contextualized responses.
Create a dealer service portal to remotely diagnose product issues and provide resolution recommendations, minimizing downtime and increasing success rates of in-person service.
Detect operating anomalies before they cause failures using AI models in the cloud or on the product edge, reducing warranty claims and decreasing parts shortages.