Commercial Real Estate Agency
A leading commercial real estate agency engaged dadoAI to build an AI-powered deal sourcing engine that scans thousands of data sources daily, identifies off-market opportunities, and predicts property owners ready to sell, giving them first-mover advantage on high-value acquisitions.
Implementation involved sophisticated AI monitoring across multiple data sources. The system scanned planning applications daily, identifying development opportunities and zoning changes that created value. Company filing analysis flagged businesses in financial distress or restructuring that might divest property assets. Ownership change tracking identified properties changing hands or corporate restructures creating selling opportunities. Market intelligence correlated thousands of signals to predict seller likelihood, including lease expiries, tenant changes, financial performance, and comparable transaction patterns. Predictive scoring ranked opportunities by probability and potential value, allowing agents to focus on highest-impact targets. Alert systems notified agents immediately when high-value opportunities emerged, ensuring first-mover advantage. The AI learned from successful acquisitions, continuously improving its ability to identify promising opportunities before competitors.
Implementation involved systematic automation across the property lifecycle. One-click syndication meant updating property details once and publishing everywhere automatically, eliminating hours of copy-paste work. AI tenant screening automated credit checks, reference verification, and risk scoring with consistent criteria, dramatically accelerating the evaluation process. Lease intelligence used natural language processing to extract key terms, flag non-standard clauses for legal review, and identify potential issues before they became problems. Viewing coordination automated scheduling with all parties, reducing phone calls and finding optimal times automatically. The system maintained audit trails for compliance whilst dramatically reducing the administrative burden on property managers.
