{"id":19896,"date":"2022-05-06T11:12:14","date_gmt":"2022-05-06T09:12:14","guid":{"rendered":"https:\/\/nr.no\/en\/?post_type=bc_project&p=19896"},"modified":"2025-01-28T12:14:04","modified_gmt":"2025-01-28T11:14:04","slug":"bedre-prisvurdering-av-boliger","status":"publish","type":"bc_project","link":"https:\/\/nr.no\/en\/projects\/bedre-prisvurdering-av-boliger\/","title":{"rendered":"Better price assessment of homes"},"content":{"rendered":"\n

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The real estate industry is the largest asset class in Norway. In 2020 alone 125,000 homes were sold representing almost NOK 500 billion in transaction value. Nevertheless, while there is an increasing number of industries that are digitizing and automating processes, the typical process of buying or selling a home remains unchanged. <\/p>\n\n\n\n

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To address this, Solgt.no<\/a> has launched an Instant Buyer (or iBuyer) service, wherein the company purchases residential properties directly from private sellers, to eventually re-sell them providing, liquidity, reduced risk and convenience to the customer. A critical aspect of the process is timely and precise valuation as an underpricing will reduce the chance of a profitable purchase, while an overpricing will reduce the profit (or potentially incur a loss). <\/p>\n\n\n\n

Similarly, accurate and timely dwelling valuation is of critical importance in real estate development. The earnings potential of a property development is determined by dwelling pricing. Incorrect pricing of apartments is the single biggest reason behind loss-making projects. Furthermore, the number of potential development prospects is limited by the available time to evaluate each prospective development. <\/p>\n\n\n\n

Motivated by these applications, we have identified a significant opportunity to create a Decision Support System (DSS) for real-estate price estimation by firstly, digitizing and automating parts of the valuation process of domain experts, secondly, engineering new valuation features from publicly available data, and thirdly, incorporating unique datasets of customer and developer data from the project participants. The envisioned DSS will deliver dwelling price estimates at a fraction of the time of that of current work processes, and with a step change improvement in accuracy. <\/p>\n<\/div>\n\n\n\n

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Bjarte M. \u00d8stvold<\/p>\n\t\t\t\t\t\t\t

Asst. Research Director<\/p>\n\t\t\t\t\t\t<\/svg>\n\t\t<\/div>\n\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\n\n\n

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Name: Beslutningsst\u00f8ttesystem for eksperter ved verdiestimering av boliger <\/p>\n\n\n\n

Partners: Solgt.no AS (prosjekteier), NR, NTNU Handelsh\u00f8yskolen, Virdi AS, Nordr Norge AS, Anders Opsahl Eiendomsdrift AS)<\/p>\n\n\n\n

Period: 2022 \u2013 2024<\/p>\n\n\n\n

Finansiering: NFR<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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