AI use cases in Real Estate
How the real estate sector use inabundance.ai
Centralised Real Estate Intelligence: Digitise and analyse all property-related documents in one place for easy retrieval and strategic insights.
Lease Abstraction: Use AI to abstract key terms (rent, renewal dates, clauses, obligations) from lengthy contracts and turn it into usable, structured data.
Automated Property Due Diligence: Analyse property documentation (titles, surveys, environmental reports) for potential issues and generate risk assessment reports.
Automated Property Valuation: Assess property value based on market trends, location, size, amenities, and recent transactions.
Portfolio & Asset Management Optimisation: Optimise portfolio performance, identify high yield and low-return properties, and mitigate risks by analysing diverse data sources.
Enterprise Search: Search and retrieve all unstructured data across the organisation including financial statements, lease agreements, and property images.
Why inabundance.ai
Rapid Deployment: Say a use case > get the solution. No need to wait or pay-to-play.
Security & Compliance: Securely integrates with any SaaS, API, database, or file ensuring no data ever leaves your perimeter.
Enterprise-Grade AI: Powerful, LLM-agnostic solutions tailored for large-scale retail operations.
Outcome-Based Pricing: Experience AI solutions risk-free before committing, with no restrictions on users, queries, or integrations.
Customer Story
A top four commercial real estate services company struggled with inefficiencies in managing thousands of lease agreements spread across multiple systems. The lack of a centralised data source meant brokers had to rely on extensive manual work to access and analyse lease information.
By leveraging inabundance platform, the company implemented a custom AI-driven lease data extraction and management solution tailored to its specific workflows. Now, brokers across the organisation can instantly extract key terms, analyse financial impact, and compare lease versions - all within a centralised system.
This transformation has significantly reduced manual effort, improved data accuracy, and enabled real-time querying globally.