Transforming Real Estate Sales with AI Insights


Transforming Real Estate Sales with AI Insights

Predictive Analytics


Our client saw an opportunity in the mover market to create a segment driven subscription service that leverages AI and Machine Learning to predict homes will be moving in the near future. With limited internal technology and strategic resources TKI was engaged to help make to product a reality.


Define, design and develop a proprietary SaaS platform that uses machine learning, big data, & segment-based profiling, to identify homes that are likely to come on the market in the next 6-12 months.


  • Collaborative Workshops - We held workshops with stakeholders to better understand the product idea, its requirements and the go to market strategy.
  • Algorithm Definition - Document and define the necessary logic and business requirements to create predictive algorithms and prospect profiles.

  • Data Analysis  - Document and select data sources that would be able to supply raw data for homes, the members of the home, demographics,  mortgage information and and Neighborhood trends.

  • Solution Delivery - Develop a proprietary Subscription (SaaS) service and eCommerce engine that would allow for credit card processing,  real-time account set up and prediction distribution for for its subscribers.


  • Cloud based platform built on AWS

  • Microservices architecture for enhanced modularity and scalability

  • Cutting-edge technologies: Pyspark, Hadoop, MongoDB, Databricks, RabbitMQ, FastAPI, GraphQL, Postgres, and Angular Material

  • Chargbee based commerce platform

  • Real-Time Tableau integration to create visual dashboards


nSkope is an innovative AI-driven sales enablement platform designed to revolutionize the way real estate professionals identify potential home listings.  With its advanced predictive analytics capabilities, nSkope accurately identifies homes likely to list for sale in the next 6-12 months, enabling real estate professionals to prioritize leads effectively and maximize sales opportunities. Through an intuitive user interface developed with Angular Material, users gain seamless access to real-time insights and lead management tools, empowering informed decision-making and streamlined workflow integration. By harnessing the power of AI and modern technology, nSkope empowers sales professionals to stay ahead of the competition and achieve unprecedented success in today's dynamic market landscape.

  • Self Service Sign Up: Leveraging ChargeBee as a commerce partner, nSkope provides the ability for its customers to select their area, define their prediction quantity and select their plan through a secure sign up engine.  User accounts are instantly deployed on successful credit card charge.

  • Enhanced Lead Prioritization: By harnessing predictive analytics powered by Pyspark, Hadoop, and Databricks, nSkope accurately identifies homes likely to list for sale in the next 6-12 months. Real estate professionals benefit from prioritized leads based on predictive scores, enabling them to focus efforts on high-potential opportunities and maximize sales.

  • Improved Decision-Making: nSkope's intuitive user interface, developed with Angular Material, provides real-time access to predictive insights and lead management tools. Real estate professionals can make informed decisions based on comprehensive data analysis, leading to increased efficiency and better outcomes in their sales strategies.

  • Optimized Resource Utilization: With Databricks for cluster management, nSkope optimizes resource utilization during intensive data processing tasks. Dynamic provisioning and management of clusters ensure optimal performance, scalability, and cost-efficiency, enabling seamless scalability to handle varying workloads and data volumes.

  • Streamlined Workflow Integration: FastAPI facilitates seamless integration with CRM systems and real estate tools, while GraphQL enhances data querying and retrieval efficiency. Postgres ensures data integrity and consistency, while RabbitMQ optimizes message queuing and asynchronous processing. Together, these technologies enable smooth workflow integration, enhancing productivity and collaboration across the organization.


TKI helped our client create an AI-driven sales enablement platform that pinpoints homes likely to list for sale in the next 6-12 months. The service covers 95% of the US residential market across 23,000+ zip codes.  It's  predictions provide a 360-degree view of homes, residents (with opt-in contact info), and neighborhood data.

The predictive platform revolutionizes business intelligence in Real Estate, Finance, Home Services, and beyond.

  • National residential coverage predicting in over 23,000 zip codes.

  • Over 300 datapoints per house hold analyzed.

  • Proprietary algorithms are producing an 8% average national success rate on predictions.

  • Real-time eCommerce system with instant account deployment and prediction distribution to thousands of users