VMPL
Gurugram (Haryana), India – On April 11, Housp introduced an innovative real estate platform aimed at revolutionizing traditional real estate practices and reshaping how secondary market property deals occur. This new system leverages Machine Learning (ML) algorithms to forecast property values and trends, thereby streamlining the process through advanced search functionalities, digital transaction tools, and improved overall user interaction.
Housp has pinpointed significant issues within the secondary real estate market, including nuisance calls, misleading assurances, inconsistent title verifications, and insufficient openness. These factors introduce additional layers of complication, making it considerably more perilous for both purchasers and vendors to navigate smoothly through these processes. To address this long-standing issue, Housp has embarked on an endeavor to develop a cutting-edge technological solution aimed at improving transparency and streamlining efficiency in property dealings.
Karan Gupta, one of the co-founders of Housp, expressed his enthusiasm about the launch, stating, “Our integration of advanced technology alongside an unwavering commitment to secure business practices aims to revolutionize transaction execution within the secondary real estate sector, thereby establishing a higher benchmark for both effectiveness and safety.”
Excited about the release, Shakti Sachdev, who co-founded Housp, stated, “We have developed a resell platform that integrates conventional business practices with modern technological advancements. We aim to ease difficulties for investors by offering professional advice on exiting investments and ensuring a smooth transaction via electronic mandates.”
Within a technology-dominated environment, the Housp platform significantly contributes to streamlining daily activities within the real estate sector and modernizing conventional document-signing processes through electronic mandates. Furthermore, it offers reassurance to sellers by not just easing property transactions but also giving them immediate access to liquid funds.
AI and machine learning are fueling innovation and focusing on customers within the real estate sector. Housp utilizes these machine learning algorithms for filtering properties, revamping listing systems, and enhancing search functionalities. Additionally, it offers a significant advantage in the marketplace through instant access to current pricing patterns, EMI calculators, ROI estimators, and thorough title verifications, aiding purchasers in making knowledgeable monetary choices.
Housp fosters a skilled group of experts with robust technical skills and extensive market knowledge. Boasting over ten years of collective experience in sales, marketing, and product development, the firm commenced its journey in Noida, where they have identified more than 75 properties for sale. Aligning with their ambitions, Housp aims to expand swiftly into four additional cities within the upcoming fifteen months, including notable locations such as Pune and Gurugram.
Housp aims at listing 40 curated properties on their tech platform
www.housp.com
From the initial project inspection reports through to verifying the titles of every individual unit, every detail has been meticulously recorded. With an ambitious Gross Transaction Value (GTV) target set at INR 70 Crore and plans to establish a distribution network involving approximately 480 property brokers during the launch phase, Housp aims to transform India’s secondary real estate sector.
Housp is also developing an advanced machine-learning model with the capability to predict potential buyers. It deeply analyzes historical data and buyers’ behaviour along with their specifications. This matches the listed properties with the right buyer while streamlining the transaction process.
To learn more, kindly visit
www.housp.com
and start your real estate buying/selling journey.
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VMPL
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