What challenges did MOGUL.sg face before AI implementation?

Enable smart, automated, and real-time property searches and appointment bookings. Integrate AI with location-aware technology to provide relevant, geo-specific responses. Migrate from legacy systems to a scalable cloud infrastructure to support AI at scale. Reduce operational manual workload and speed up responses to user queries.

What was the impact of the AI solution?

Improved query response speed by 15%, enabling near-instant user interactions. Reduced costs by 10% when serving demand analytical queries using BigQuery. Streamlined property search and appointment scheduling process, enhancing user experience. Enabled MOGUL.sg to realize their vision of an intelligent, AI-powered real estate platform.

Source

GCP

MOGUL.sg launches AI agent MAIA for real estate with Google Cloud AI

Use case typeCustomer service automationUpdated Jun 13, 2026

MOGUL.sg, a real estate technology platform in Singapore, deployed an AI agent called MAIA on WhatsApp to automate property searches and appointment scheduling. The AI agent leverages Google Cloud services including Vertex AI, Gemini AI, Google Maps API, Compute Engine, and BigQuery to provide intelligent, location-aware responses and integrate proprietary real estate data. CloudMile partnered with MOGUL.sg to migrate legacy infrastructure to Google Cloud and rapidly develop the AI agent, enhancing system reliability and reducing operational load. MAIA achieved 15% faster query response times, near-instant AI answers, and streamlined property search and operational workflows, improving customer experience and cost efficiency.

Organization: MOGUL.sg
Industry: Real Estate
Location: Singapore

Reported outcomes

+15%

quantified impactTime & speed

−10%cost

Strategic outcomes

New product / capabilityLaunched AI property search agentNew product / capabilityAdded location-aware AI responsesSpeed & agilityEnabled near-instant user interactionsCustomer experience & trustStreamlined property search and scheduling

Catalog median for time & speed deployments: +80% across 203 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 2 of 2

1AI Agents
2Customer Interaction Automation

Enable smart, automated, and real-time property searches and appointment bookings.
Integrate AI with location-aware technology to provide relevant, geo-specific responses.
Migrate from legacy systems to a scalable cloud infrastructure to support AI at scale.
Reduce operational manual workload and speed up responses to user queries.

Built an AI agent using Google Cloud's Vertex AI and Gemini AI for natural language interaction and knowledge-based responses.
Used Google Maps API to provide location-based answers within the agent.
Migrated to Google Cloud infrastructure including Compute Engine and BigQuery to support AI workloads and data analytics.
Partnered with CloudMile for technical expertise and rapid deployment of the AI agent on WhatsApp.

Technologies

Vertex AI Gemini AI Google Maps API Compute Engine BigQuery

Improved query response speed by 15%, enabling near-instant user interactions.
Reduced costs by 10% when serving demand analytical queries using BigQuery.
Streamlined property search and appointment scheduling process, enhancing user experience.
Enabled MOGUL.sg to realize their vision of an intelligent, AI-powered real estate platform.

Implementation partners1

CloudMile

Sources & evidence1

Groundedness: 5/5

Primary source

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Customer evidence