Data Unification

Automatically standardizes and consolidates information from your database, emails, and chat history within the platform into a single, clean, searchable dataset.

Problem

Commercial real estate firms operate with fragmented data ecosystems where critical information exists in silos across multiple systems, formats, and sources.

Property details live in spreadsheets, lease terms are buried in PDFs, financial data sits in various underwriting models, and market intelligence is scattered across disparate databases.
This fragmentation creates operational friction that compounds with scale, forcing teams to manually reconcile inconsistent property names, addresses, and unit counts across systems.
Firms struggle to maintain a single source of truth, leading to duplicated effort, inconsistent analysis, and decision-making delays.

Solution & How It Works

Rets AI's data unification creates a centralized, intelligent data layer that automatically standardizes and consolidates information from your database, emails, and chat history. Our platform syncs with any storage or data source to keep documents indexed, searchable, and workflow-ready.

Automatically maps all property and deal data to a standardized format within the platform's chat interface.
Deduplicates records across systems using intelligent matching algorithms that account for variations in naming conventions.
Maintains real-time synchronization with existing data sources without requiring migration or system replacement.

Value Creation

Eliminates hours of manual data reconciliation and standardization work across deals.

Reduces errors from inconsistent property information and duplicate records.
Enables faster deal analysis by providing immediate access to unified, clean data.
Supports scalable growth without proportional increases in data management overhead.
Creates competitive advantage through superior data quality and accessibility for decision-making.

Eliminates hours of manual data reconciliation and standardization work across deals.

Reduces errors from inconsistent property information and duplicate records.
Enables faster deal analysis by providing immediate access to unified, clean data.
Supports scalable growth without proportional increases in data
management overhead.
Creates competitive advantage through superior data quality and accessibility for decision-making.

Example Use Cases & Prompts

Example Use Cases
& Prompts

"Consolidate all property records for Riverside Industrial Park from our database, then flag any discrepancies in unit counts or square footage."

"Standardize tenant names across our entire portfolio—merge 'Amazon Logistics Inc', 'Amazon Fulfillment Services', and 'AMZN' into a single entity with complete lease history."
"Show me all properties in our database with cap rates below 5% that we've analyzed in the last 6 months."
"Search for all industrial properties over 100,000 SF in Phoenix that are currently marketed or have sold in our database."
"Show me every email thread and deal file related to the Harbor Point development project."

"Consolidate all property records for Riverside Industrial Park from our database, then flag any discrepancies in unit counts or square footage."

"Standardize tenant names across our entire portfolio—merge 'Amazon Logistics Inc', 'Amazon Fulfillment Services', and 'AMZN' into a single entity with complete lease history."
"Show me all properties in our database with cap rates below 5% that we've analyzed in the last 6 months."
"Search for all industrial properties over 100,000 SF in Phoenix that are currently marketed or have sold in our database."
"Show me every email thread and deal file related to the Harbor Point development project."

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