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Download “Predicting 74% of All Houses Sold in the US Every Month” to Learn

• How machine learning predicts motivated sellers faster and more accurately.
• The challenges of real estate lead generation and how AI solves them.
• The role of PropTech in disrupting the real estate industry.
• How NineTwoThree helped DataFlik build a successful ML model.
• The impressive growth and ROI DataFlik achieved with AI-powered solutions.

Transforming Real Estate Prospecting with AI and Machine Learning

Industries like real estate, which are tasked with finding qualified clients in a crowded and ever-changing market, have a lot to gain from adopting machine learning and AI in real estate prospecting. With Real Estate Machine Learning, companies can achieve unparalleled real estate marketing efficiency. However, the large amount of real estate data for machine learning, which is necessary to create an effective machine learning model, can pose real estate data challenges, making it expensive, and most real estate companies don’t have the ML expertise needed to build an accurate and cost-effective model.

This is the challenge DataFlik aimed to solve when they approached NineTwoThree to build a machine learning model that generates prioritized lists of motivated sellers faster and more accurately than a human expert can, saving real estate wholesalers key time and money.

DataFlik was able to augment the capabilities of their lean in-house team with NineTwoThree’s ML expertise to overcome the challenges of developing machine learning models and build a truly impactful solution.

Transforming Real Estate Prospecting with AI and Machine Learning

Industries like real estate, which are tasked with finding qualified clients in a crowded and ever-changing market, have a lot to gain from adopting machine learning and AI in real estate prospecting. With Real Estate Machine Learning, companies can achieve unparalleled real estate marketing efficiency. However, the large amount of real estate data for machine learning, which is necessary to create an effective machine learning model, can pose real estate data challenges, making it expensive, and most real estate companies don’t have the ML expertise needed to build an accurate and cost-effective model.

Transforming Real Estate Prospecting with AI and Machine Learning

Industries like real estate, which are tasked with finding qualified clients in a crowded and ever-changing market, have a lot to gain from adopting machine learning and AI in real estate prospecting. With Real Estate Machine Learning, companies can achieve unparalleled real estate marketing efficiency. However, the large amount of real estate data for machine learning, which is necessary to create an effective machine learning model, can pose real estate data challenges, making it expensive, and most real estate companies don’t have the ML expertise needed to build an accurate and cost-effective model.

Transforming Real Estate Prospecting with AI and Machine Learning

Industries like real estate, which are tasked with finding qualified clients in a crowded and ever-changing market, have a lot to gain from adopting machine learning and AI in real estate prospecting. With Real Estate Machine Learning, companies can achieve unparalleled real estate marketing efficiency. However, the large amount of real estate data for machine learning, which is necessary to create an effective machine learning model, can pose real estate data challenges, making it expensive, and most real estate companies don’t have the ML expertise needed to build an accurate and cost-effective model.