eyko Ideas
A spike in warranty claims is a late signal. Warranty & Product Failure Intelligence links returns and claims to the underlying product failures, so a recurring issue is caught before it becomes widespread.
The Challenge
By the time warranty claims spike, the failing units are already in customers' hands.
The same root cause can show up across several products or a single batch, hiding the pattern.
Individual claims look unrelated until they are linked to a shared component or condition.
How eyko Solves It
Warranty & Product Failure Intelligence links claims and returns to failure patterns, by component, batch, and usage, flags emerging failures early, and quantifies the exposure if the pattern spreads across the installed base.
Warranty claims are rising on three products, and eyko links them to a common component failing about 60 days after sale, a pattern visible now on a small share of units.
| Metric | Current | Benchmark | Status |
|---|---|---|---|
| Primary indicator | Flagged | Target | Action needed |
| Secondary indicator | Monitoring | Within range | On track |
| Trend direction | Declining | Stable | Review required |
Warranty and product failure intelligence links warranty claims and returns to the underlying failure, by component, batch, and usage, rather than reading claim volume after it spikes. The Playbook surfaces an emerging failure while it is still visible on a small share of units, which is the window when it can still be contained.
This is decision intelligence in practice: the what, the why, and the what next from your live data.
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View IdeaFAQ
Everything you need to know about Warranty & Product Failure Intelligence.
Warranty and product failure intelligence links warranty claims and returns to the underlying product failures, by component, batch, and usage. eyko flags an emerging failure while it is still on a small share of units and quantifies the exposure if it spreads, so a recurring issue is caught before it becomes widespread.
It reads warranty claim and return records, product, component, and batch data, and sale and service dates from your ERP, quality, and service systems, alongside any data platform you already run. It works with systems such as SAP, Oracle, and NetSuite, and there is no separate data project to start.
The Playbook connects claims and returns across products and batches by shared component, failure mode, and time-to-failure, so claims that look unrelated individually are grouped into one root cause. That is what turns a rising claim count into an actionable component or batch issue.
Because it reads the failure pattern rather than waiting for claim volume, the Playbook surfaces an emerging failure while it is still visible on a small share of units, often well before a claims spike. That lead time is what lets a proactive service or recall contain the exposure rather than absorb it.
Join the enterprises replacing weeks of manual analysis with a single prompt. See what eyko Playbooks can do with your data.
