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Integrated API Automation Platform for Real Estate Operations
  1. case
  2. Integrated API Automation Platform for Real Estate Operations

Integrated API Automation Platform for Real Estate Operations

instinctools.com
Real estate

Challenges Faced by a Growing Real Estate Firm Due to Disconnected Systems

Manual data checks, redundant follow-ups, and inefficient communication between diverse tools have caused delays, increased errors, and consumed significant employee time—up to 30 hours per month per employee—hindering productivity and scalability. Lack of seamless, real-time data exchange among core applications leads to inconsistent information, workflow bottlenecks, and elevated operational costs.

About the Client

A fast-growing real estate services company managing property transactions, onsite inspections, documentation, and logistics seeking to automate workflows and improve data accuracy.

Goals for Streamlining Real Estate Operational Workflows Through Automation

  • Reduce manual data entry and repetitive tasks by automating data exchange between key applications.
  • Achieve at least a 60% reduction in data processing costs associated with manual operations.
  • Save up to 30 hours per employee per month by eliminating redundant manual activities.
  • Enable real-time synchronization across tools to improve data accuracy and consistency.
  • Create scalable workflows that allow easy addition of new integrated tools without extensive reconfiguration.
  • Improve overall operational efficiency and decision-making speed across departments.
  • Minimize human error in data handling and document management processes.

Core Functional Capabilities for Automated Integration of Real Estate Operations

  • Event-driven architecture to trigger workflows based on actions across integrated applications.
  • Automated address validation using an external address verification API.
  • Concurrent workflows for project management, onsite operations, logistics, document management, and title processing.
  • Seamless creation and updating of project entries, documents, and property data across platforms.
  • Automated document text extraction and indexing for quick searchability.
  • Automatic notification and status updates for deal and project stages based on defined triggers.
  • Extensible API design to incorporate future tools and systems.

Technology Stack and Architectural Approaches for Automation Platform

Cloud-native infrastructure leveraging AWS services such as Lambda, DynamoDB, S3, and Step Functions
Event-driven architecture using a messaging/event routing service like EventBridge
Searchable data indexing with Elasticsearch
Address validation API integration
Automated document processing using OCR/AI services

External System Integrations for Comprehensive Workflow Automation

  • Project and document management tools
  • Onsite inspection/photo management systems
  • Logistics and property address systems
  • Document storage platforms
  • Title and escrow processing services
  • Address validation APIs
  • Text extraction and document indexing services

Critical Non-Functional Requirements for the Automation Platform

  • Scalability: Should support the addition of new tools and workflows with minimal reconfiguration.
  • Performance: Automations must execute within milliseconds and support high volume event processing.
  • Security: Data must be protected with appropriate encryption and access controls.
  • Reliability: System should have 99.9% uptime with failover capabilities.
  • Maintainability: Modular architecture to facilitate updates and troubleshooting.

Expected Business Outcomes from Implementing Automated API Integration

The platform aims to achieve a 60% reduction in data processing costs and save up to 30 hours monthly per employee by automating repetitive tasks. It will enable real-time data exchange, improve data accuracy, and streamline workflows, thereby increasing operational efficiency, reducing human errors, and supporting scalable growth in the real estate business.

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