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AI use case in real estate

Rental space price prediction & analysis

Forecasting rental price for hosting a property online

In San Francisco, due to the availability of distinct stay options (rent, host, hostel) and significant competition among rental communities, prices may fluctuate on the minute. Deciding on a rental space fee is a complex task, and many companies have lost billions of dollars due to uninformed pricing for available space. Airbnb has found a unique niche in the hotel industry modeled after the sharing economy by implementing the price feature concept.

We implemented a predictive data analysis model incorporating intelligent technology and data analytics to offer constant price suggestions to achieve predetermined profitability targets for every host.

EVNet

Use case highlights:

  • Machine learning and data science techniques can predict real-time price fluctuations
  • Deterministic factors that may impact rental price optimization for properties at varied locations
  • Detailed information concerning the technology, data sets, models, and procedures followed for achieving a highly accurate pricing model

Why Choose IntellectDataTM as your AI and data science partner?

  • Broad-spectrum of products and services employing leading-edge technology, providing a strategic and competitive advantage
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  •  Industry-leading expertise developing and implementing digital products and software services incorporating data science, artificial intelligence, image and video analytics, text analytics, predictive analytics, recommendation engines, and visualization
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  • Easily integrated with other mission-critical enterprise applications and platforms to solve any data-driven problem
  • Unmatched standards for quality, scalability, and performance create exceptional value, propelling organizations to the next level of insight and action
  • End-to-end services from consulting to full-cycle software development
  • Empower non-experts to use machine learning models and techniques without the need for prior expertise in the field
  • Complete adherence to data and security regulations such as HIPAA, Data protection 2018, etc.
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