Problem Statement

The client, a real estate intermediary, faced inefficiencies in their data handling processes. Data sourced from online repositories was manually processed, leading to errors and delays. They needed an automated solution to streamline their workflows, improve communication with property owners, and enhance data analytics for better decision-making.

Approach & Solution

DataRopes.ai provided an automated solution to address the client’s challenges, combining several Google Cloud Platform (GCP) services with custom automation scripts.

We integrated data from three key platforms—FollowUp Boss, Landvision, and DirectSkip—automating data ingestion and communication processes through API integrations.
BigQuery was used to store and process data from over 1,000 property listings, enabling centralized data access and analysis.
We developed Python scripts that automated daily data enrichment and transformation, handling real-time updates via webhooks to capture changes in sales status.
A Looker Studio dashboard was designed to visualize key property acquisition metrics, tracking progress and providing detailed analytics to enhance decision-making.

Results & Outcomes

Automating the data handling and communication processes saved the client 40% of the time previously spent on manual tasks. Improved data accuracy led to fewer errors in property acquisition and sales. The enhanced analytics capabilities provided by the Looker Studio dashboard enabled faster property turnovers, which contributed to increased sales revenue. Overall, the solution optimized the client’s operations and improved efficiency.