Predicting home listings before they hit the market.
A real estate brand saw an opening in the mover market and asked TKI to build a predictive platform that identifies homes likely to list in the next 6 to 12 months, so agents reach the right sellers first.
An opportunity in the mover market.
The client saw a chance to build a segment-driven subscription service that used AI and machine learning to predict which homes would move in the near future. With limited internal technology and strategic resources to build it, they engaged TKI to make the product a reality.
A proprietary predictive platform.
TKI defined, designed, and built a proprietary subscription platform that uses machine learning, big data, and segment-based profiling to identify homes likely to come on the market in the next 6 to 12 months, delivered to agents as a ranked, ready-to-work list.
From product idea to predictive platform.
TKI worked with the client to turn a market opportunity into a working platform, defining the logic, the data, and the delivery model before building.
Collaborative workshops
We worked with stakeholders to understand the product idea, its requirements, and the go-to-market strategy.
Algorithm definition
We documented the logic and business rules behind the predictive models and the prospect profiles they produce.
Built to predict and deliver at national scale.
A cloud platform engineered to process data at scale, run predictive models, and deliver results to subscribers in real time.
Cloud-native and scalable
A microservices architecture on a modern cloud platform, built for modularity and national-scale data volumes.
Predictive analytics engine
Distributed data processing and machine learning models that score homes on their likelihood to list within 6 to 12 months.
Subscription and commerce
A self-service commerce engine with secure sign-up, instant account provisioning, and automated prediction delivery.
How the platform works for an agent.
The platform identifies homes likely to list for sale in the next 6 to 12 months, so agents can prioritize outreach and reach sellers before the competition. It pairs predictive scoring with a self-service subscription model, giving each subscriber a ranked, ready-to-work view of their market.
Self-service sign-up
Subscribers select their area, set their prediction volume, and choose a plan through a secure sign-up engine. Accounts deploy instantly on successful payment, with no manual onboarding.
Predictive lead prioritization
The models identify homes likely to list within 6 to 12 months and rank them by likelihood. Agents work a prioritized list and focus their effort on the highest-potential opportunities instead of cold canvassing.
Informed decision-making
A real-time interface gives agents predictive insight and lead management in one place, so decisions are based on a full data picture rather than instinct.
Scalable data processing
Dynamic cluster management scales processing up and down with demand, keeping performance and cost in balance as data volumes shift.
Connected workflow
The platform integrates with CRM and real estate tools so predictions flow directly into the systems agents already use, keeping the workflow smooth across the organization.
National coverage, house-level precision.
TKI delivered an AI-driven platform that pinpoints homes likely to list in the next 6 to 12 months, giving agents a proactive, data-driven view of their market: homes, residents with opt-in contact detail, and neighborhood context.
More effective than cold-call prospecting. Predicted homes list at roughly 8% nationally, versus the 1-2% typical of cold outreach, validated over a 12 to 15 month window. Some markets run higher still.
of the US residential market covered by the prediction model
zip codes with national residential prediction coverage
data points analyzed per household to score listing likelihood
prediction delivery with instant account deployment for subscribers
Have a data product idea that needs building?
TKI turns predictive and data-driven product ideas into platforms that run at scale. If that is where you are headed, let's talk.
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