Under one roof: Rightmove reinvents property search with unified data | Endigest
Google Cloud
|AITags:AI & Machine Learning
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Rightmove describes how it migrated from on-premises databases to Google Cloud to build a unified data and AI platform called 'the data hive.'
- •The platform uses BigQuery, Vertex AI, and Looker, with ~300 team members (a third of staff) actively using it
- •Vertex AI extracts metadata from property descriptions and images to auto-generate listing features and improve search accuracy
- •Gemini powers an AI feature that generates context-aware replies for estate agents responding to buyer/seller inquiries
- •A vendor scoring engine analyzes user behavior to predict homeowner likelihood, helping partners focus on high-conversion leads
- •An Automated Valuation Model (AVM) predicts sale and rental prices for every UK property monthly, using market trends and real-time property changes
•A 'hub and spoke' model governs the platform: central teams set standards while business units run their own BI and AI use cases•BigQuery's Series FM function enables low-code forecasting deployable in ~10 lThis summary was automatically generated by AI based on the original article and may not be fully accurate.