Rental space price prediction & analysis

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.

• 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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