Indian homebuyers searching online for property often face what industry observers call “portal fatigue”—the experience of scrolling through hundreds of listings that don’t quite match their needs, leading to frustration and wasted time.
Chennai-based Findbhk.com is attempting to address this problem with an AI-powered search system that prioritizes relevance over volume.
The Challenge With Traditional Search
Most property portals operate as searchable databases, requiring users to input specific filters such as bedroom count, location, or price range. But buyers often think in more nuanced terms—wanting, for example, a gated community near their workplace or a flat with specific amenities in a particular neighborhood.
When search terms don’t match listing tags exactly, relevant properties may not appear in results. Conversely, loosely matched filters can return overwhelming numbers of unsuitable options.
How Findbhk’s Approach Differs
The platform uses natural language processing to interpret search queries contextually rather than relying on exact keyword matches.
According to the company, if a user searches for “pros and cons of buying flat in Iyra the spire Velachery,” the system reads the project and give structured answer for buyers planning to buy properties in Iyra Spire.Also the system identifies relevant properties in Velachery — even when listings don’t contain those specific terms.
The technology also attempts to surface properties that may be poorly tagged but otherwise match a buyer’s criteria by analyzing broader project information.
Rather than displaying dozens of partial matches, the system aims to present a curated set of options with explanations for why each was selected.
Implications for Developers
The company argues this approach benefits property developers as well. Traditional lead generation often produces high volumes of inquiries from buyers who aren’t serious prospects or whose requirements don’t align with available inventory.
Findbhk claims its model connects developers with buyers who have already refined their preferences, potentially improving conversion rates and reducing time spent on unqualified leads.
Market Context
The Indian real estate technology sector has seen significant investment in recent years, with platforms competing on listing volume, verification services, and search capabilities. Whether AI-driven curation can meaningfully differentiate a platform in this crowded market remains to be seen.
**’The opinions expressed in the article are solely the author’s and don’t reflect the opinions or beliefs of the portal’**
