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From Tracking Net Operating Income to Actually Improving It—AI, Key Metrics, and Workflows A webinar on why companies with hundreds of proven ways to track their real estate data still use only a fraction of them—and how AI helps solve that problem. Kevin (Product Manager) and Niklas (Head of the Customer Team) will present the content, and Rasmus will moderate. 0:02 – Welcome and practical information 1:07 – Kevin and Niklas introduce themselves 1:58 – Background: Homepal has accumulated about fifty clients and hundreds of proven use cases, but each company uses only a fraction of them 8:00 – The four barriers to scaling up: from building everything in-house, to a dashboard catalog, to identifying relevant anomalies without manual work, to minimizing reliance on specific individuals and development time 3:00 PM – How Homepal uses AI to eliminate the fourth obstacle—industry knowledge and interpretation rules are fed into the AI, which then delivers ready-to-use, quality-assured reports for each company 8:00 PM – Why everything is translated into an impact on net operating income—a common metric for prioritizing among completely different types of deviations 25:00 – Concrete examples: external work orders, overdue rent, and why the time interval (0–30 days vs. 180+ days) matters 30:50 – Question: Are there similar discussions regarding the balance sheet and property value? (Short answer: not yet—the focus is on net operating income) 32:11 – AI-enhanced fault reports – how free-text fields can be automatically categorized instead of depending on who enters the data 38:17 – Question: How do you work with benchmarks for heating and energy? 40:25 – Follow-up question: How does property type (e.g., senior living facilities vs. schools) affect benchmark levels? 42:29 – Niklas takes over: This is what the interface looks like in practice—the Insights and Actions tabs, the biweekly dialogue with the customer, and how to move from insight to approved action 45:00 – Live demo: the “higher proportion of externally executed work orders” case study—nine flagged properties, a recommendation focusing on the three that account for 71% of the potential, and a calculation of the impact on net operating income 47:51 – Question: Is the case study calculated per BOA/LOA? (Kevin explains the difference between relative prioritization and absolute monetary valuation) 49:39 – Demo continues: AI chat linked to selected properties, chart view, and how action cards are created when an insight is adopted 56:46 – Question about the semantic layer – do all customers use the same definitions, or do they vary by company? 57:49 – About Homepal’s ~300 standardized metrics, and a brief overview of the newly launched Metrics MCP for AI assistants 1:01:33 – Final question: Which system do customers most often forget to enable before going live? 1:03:14 – Conclusion

In this webinar we hear from the Head of Rental at Mimer, Amanda Öholm. Mimer is a municipal housing company in Västerås. They've worked together with Homepal to become more data-driven in their leasing process to reduce the number of vancancies.

Watch the webinar with Kevin Kimaryo and Henrik Litsander at Olov Lindgren.

Learn how your work affects the valuation of your properties – every day!

Fredrik Melander, manager and proptech coordinator at Heba, will talk about the benefits of sharing simple, tangible data with everyone in the company. Fredrik will, among other things, tell how they work with Homepal to keep the budget and create commitment and understanding of important key figures for both technicians and managers.

Uddevallahem's Head of Customer Service, Martin Fröjd explains how his team managed to successfully rent out the entire portfolio - despite a tough market. In the webinar, you will learn about the working method and concrete dashboards with the key figures that were followed, but also how the collaboration in the organization looked like. How can rental departments collaborate better with the rest of the administration, and how does Martin Fröjd think about his leadership?