AI Circularity Radar

One in three service claims concerns a device that is working properly.

This means higher service costs, a longer process, and a worse customer experience.

AI Circularity Radar analyzes claims in real time and guides the user to a self-service resolution, instead of sending the device to service. This means lower service costs, fewer unnecessary shipments, and faster case resolution.

Every resolved claim provides data on what users find difficult and what is worth improving in the next version of the product or instruction manual.

Knowledge from service flows back to the manufacturer and helps improve the product, the instructions, and the after-sales process. Devices become better and more durable. And the user is more satisfied.

See how many claims you can avoid

Up to 30% of service claims can be resolved without the full service process.

Every claim is valid, the user has a real problem. But not every problem requires a physical repair.

Some claims stem from configuration, settings, or limited familiarity with the device's functions. The user can solve them independently at home; they just need the right instructions at the right moment.

A traditional RMA process launches the full service path only after the problem is reported. The customer requests a repair, ships the device, engages a technician, and in the end receives a device that is working properly.

AI Circularity Radar works differently.

When the user describes the issue, AI compares the claim with historical service data. If it detects a known pattern, it does not immediately launch the full service path. Instead, it provides the user with specific instructions exactly when they need them. The user resolves the device issue on their own, without losing warranty coverage. The device stays at home, and the user saves time.

What do you gain?

Fewer unnecessary
shipments

When users receive clear instructions at the right moment, they can often solve the problem on their own. The device does not go to service. Fewer shipments, less handling, and better use of service resources.

Data that improves
the product

Every interaction with AI is a source of information: which functions create difficulties and what users understand differently from what the design team intended. Your R&D team gets hard data instead of assumptions.

Measurable
circularity

Every device resolved at home means less transport and less strain on the logistics chain.

A solution recognized and awarded by the market.

FIXIT and AI Circularity Radar were awarded the title of Transformation Leader in the Stena Recycling 2025 competition. This solution supports the circular economy in consumer electronics.

Up to 30%

This many service claims users can resolve on their own at home.

In real time

AI analyzes the claim the moment the user enters the issue description.

process

Test it on your data and reduce service costs.

Step 1

Book a demo

We will show you how AI Circularity Radar works. We will discuss your data and identify the potential together. Depending on the project, that potential ranges from 5% to 30% of claims.

Step 2

AI analysis on your data

The Radar will process service claims in a secure environment, under NDA, detect patterns, and indicate cases in which the user could solve the problem independently.

Step 3

Process
implementation

We will launch AI Circularity Radar in your claim-handling process at FIXIT. Users will receive support exactly when they need it. We work more efficiently, and the data from each interaction flows back to your team.

Step 4

Dashboard, data, and recommendations in one place

In AI Circularity Radar, you can see everything you need in one place: how many claims customers resolved remotely, which devices and functions generate the most claims, and specific recommendations for products, instructions, and the service process. Data ready to share with R&D, quality, and ESG teams.

Reduce unnecessary shipments to service. Start with your data.

Contact us and see how many claims you can resolve without shipping the device.

Book a demo on the analysis of your own data