Identifying Root Causes of Failures
To evaluate how well AI can classify cases into three levels – space, unit, and part of unit – in order to identify where the main sources of failures occur in the property portfolio.
Tid | TBD |
|---|---|
Plats | Digitally |
What we want to solve
By analyzing the text in case descriptions, we want to automatically classify each case into three levels:
Space – e.g., kitchen, bathroom, hallway
Unit – e.g., refrigerator, stove, fan
Part of unit – e.g., door, handle, knob
This structure makes it possible to see exactly which spaces, units, or components generate the most failures – and why.
Example:
”We discovered that kitchen fans in a certain project generated the highest number of cases – which led us to change supplier.”
What value does it create?
With better insights into the sources of failures, we can make more accurate decisions about procurement, maintenance, and renovations.
Example:
”We decided to invest in a new type of refrigerator because one particular model had generated the most cases over time.”
What happens if we don’t do this?
We continue to purchase equipment that generates high maintenance costs.
We risk misallocating resources in our maintenance planning.
We miss the opportunity to reduce both case volume and costs.
For whom?
This test is aimed at those who:
Are responsible for procurement, maintenance, or renovation decisions.
Work with analysis or follow-up of case statistics.
Make decisions that affect operating costs and long-term property management.
The test group’s mission
Over six weeks, we will evaluate the solution together in three structured workshops of 1.5 hours each. The goal is to understand how the classification works and assess the value it can create in your decision-making.
Session 1 – Kick-off
We will review a dashboard with categorized cases and discuss how it is intended to be used. You will also receive a sample of 100 cases with their respective classifications.
👉 Between sessions: Review the cases, assess whether you agree with the classification, and evaluate if the categories themselves are relevant.
Session 2 – Decision making
We will discuss together: What decisions would you like to make – or believe you could make – based on the data? How could it be used to guide procurement, plan renovations, or optimize maintenance?
Session 3 – Evaluation
We will evaluate the solution by asking: Does the classification create real value? Has it already led to decisions, or do you see that it could do so in the future? In which contexts is the information most useful – during budgeting, in procurement, or in day-to-day operations?
Why participate?
As a participant in the test group you will:
Have a unique opportunity to influence the further development of the solution.
Gain early insights into which spaces, units, and components generate the most failures.
Take part in concrete discussions on how data can be turned into decisions that reduce costs and improve quality in property management.
Directly impact which features and priorities are developed next.
Participation requirements
The test group has a limited number of places. To participate, you need to:
Submit your role and a short motivation for why this information is important to you.
Describe which decision(s) you hope to make based on the material.
Commit to attending all three sessions and set aside time between meetings to review the sample cases.
