ITANDI launches AI-OCR to digitize repair cost estimates

ITANDI's announcement directly addresses a common pain point in rental property management: the time-consuming and error-prone process of transcribing repair cost estimates from contractors. These estimates are often delivered via fax, PDF, or Excel, and require manual re-entry into the management company's system. The new AI-OCR feature automates this extraction, with a human review step ensures accuracy. The company emphasizes not just the immediate efficiency gain, but the long-term value of accumulating structured estimate data. This data feeds into two existing features: "past case history" and "AI owner explanation suggestion (beta)", which rely on detailed records to help managers explain repair costs to property owners. Over time, this could strengthen trust by providing clear, evidence-based justifications for repairs. The service is part of the broader "ITANDI 賃貸管理" system, which already supports over 1,500 companies, suggesting a substantial existing user base that could benefit from this enhancement. While the company expects these improvements to enhance owner satisfaction and trust, these are anticipated outcomes rather than proven results at this stage.