Cymbal AI (Google Cloud Solution Suite)

User uploads an image of a piece of furniture.

Cymbal AI Multi-modal model analyzes the style, color, and texture.

Vector Search retrieves similar items from the inventory database.

Gemini generates a personalized description of why these items match the user's style.

Inbound inquiry is ingested via API.

LLM analyzes the inquiry against historical 'high-value' lead patterns.

Agent queries CRM data to check for existing relationships.

System automatically drafts a personalized response and assigns a priority score.

Monitor news feeds and logistics data via real-time ingestion.

Analyze text data for potential impact on specific SKUs.

Simulate alternative shipping routes using predictive modeling.

Alert procurement teams with pre-calculated mitigation strategies.

Customer asks a complex technical question in chat.

RAG system retrieves relevant documentation from the product wiki.

Gemini synthesizes a step-by-step troubleshooting guide.

If unresolved, the system summarizes the case and escalates to a human agent.

Upload PDF filings to Cloud Storage.

Use Document AI to extract structured entities and tables.

LLM identifies trends and anomalies across different fiscal years.

Generate a summary dashboard for investment analysts.

Analyze customer purchase history and browsing behavior.

Generate unique marketing copy and product recommendations for each user segment.

A/B test variations using Vertex AI multi-armed bandit algorithms.

Deploy the highest-performing content via marketing automation APIs.

Index all internal HR, IT, and legal documents.

Deploy a conversational bot on the company intranet.

Ensure responses are cited with direct links to the source documents.

Track common queries to identify gaps in internal documentation.