AISSIST is awarded Best Agentic AI for Business from CIOReview.
AissistAissist
Customer Stories
Coros logoCoros

Coros Cuts Support Time with AI for Wearables

Performance wearable support scaled with AI to cut resolution time by 10X and maintain premium customer experience.

"The AI agents handle complex customer inquiries with human-like understanding, dramatically improving our support quality and extend our reach to new channels."
Mike Box — AI Lead
Updated Sep 24, 2026
Coros customer story
ZendeskCustomer SupportTechnical DiagnosisWearablesSmart DeviceShopifyEcommerce

Business Impact

80%
Resolution Rate
10X Faster
Time To Resolution
Enabled New Channels
Customer Reach
-30%
Cost
  • Client: Coros
  • Industry: Performance wearables and electronics
  • Use Cases: AI customer service for smart devices, tech support, troubleshooting, and AI handoff
  • Impact: 75% of issues fixed on their own, 10X faster fix time, wider support reach

Coros

Coros is a global leader in performance wearables and electronics for pro athletes and endurance users. Their users want fast, hands-on help for setup, firmware updates, data sync, and sensor accuracy. As the user base grew, Coros needed more customer support without losing the premium feel athletes expect.

To do this, Coros teamed with Aissist.io to build AI customer support for electronic devices that handles tech help and quick fixes. The goal was clear: cut time to resolution, raise auto-fix rates, and keep human agents on the hardest cases. It also gave them AI customer service for smart devices in one flow.

The Challenge: Tech Support at Scale

Coros support requests often need deep device details:

  • Firmware and pairing issues
  • Data sync and app link fixes
  • Sensor setup and accuracy questions
  • Warranty, replacement, and device life help

As volume grew, staff could not keep up. Wait times got longer, and answers could vary. Coros needed an AI support model that could handle tech support end to end and still give a smooth handoff for edge cases.

The Solution: Multi-Agent AI for Wearables Support

Aissist.io built a multi-agent system for Coros support flows:

  • Diagnosis agent: Collects key device and firmware details to find the cause
  • Resolution agent: Guides users through step-by-step fixes
  • Knowledge agent: Keeps answers lined up with product docs and updates
  • Handoff agent: Sums up the case for human agents when escalation is needed

This setup gave steady, high-quality replies and cut time to resolution across channels.

Results: 10X Faster Fixes Without Losing Quality

70–80% of Issues Resolved on Their Own

With Aissist.io, Coros now solves 70–80% of incoming issues on its own. Common requests like firmware updates, data sync problems, and device setup are handled with care. The result is a 10X faster fix time and more steady answers, without hurting the quality expected from a premium brand.

Seamless Human Handoff, Without the Friction

For the 20–30% of hard cases, Aissist.io does more than hand off. It preps the handoff. The system sums up the chat, pulls out device details, and suggests next steps. This cuts context switching and helps Coros agents solve edge cases faster and with more confidence.

Fast to Start, Flexible to Scale

Coros launched fast by linking current docs and support flows. Aissist.io’s sub-agents made it easy to grow coverage without rebuilding the whole support stack, so the team could scale during peak seasons.

Better Speed, No Quality Tradeoff

The impact is clear. Aissist.io now leads customer engagement for Coros while keeping customer satisfaction at the same level as human agents. It does this with fewer resources and faster results. That balance matters for high-performance wearables, where trust depends on both speed and accuracy.

A System That Keeps Getting Better

The system keeps getting better from real support chats. Over time, it improves fix paths, cuts repeat questions, and expands coverage for new devices and firmware updates. This is why it works well as AI customer service for consumer electronics, where speed and accuracy both matter.

A Future-Ready Service Model

With Aissist.io, Coros runs a future-ready customer support model that can grow during spikes and still keep the premium feel athletes expect.





Zendesk AI vs Aissist.io: Quick Comparison

Teams that look at Zendesk AI for customer support automation often compare it with Aissist.io when they need deeper tech help and multi-agent flows. Here is a quick view:

  • Automation depth: Zendesk AI works well in Zendesk flows. Aissist.io adds multi-agent coordination for hard cases.
  • Technical troubleshooting: Zendesk AI is strong for standard support flows. Aissist.io is built for diagnosis, guided fixes, and clear escalation.
  • Knowledge handling: Zendesk AI relies on help center content. Aissist.io blends docs, logic, and sub-agents for better edge-case accuracy.
  • Handoff quality: Both support human handoff. Aissist.io adds richer notes and context for tech issues.
  • Pricing model: Zendesk AI pricing is tied to Zendesk plans and use. Aissist.io uses a use-based model that can be 2X more cost-efficient at scale.
  • Best fit: Zendesk AI suits teams already on Zendesk. Aissist.io fits teams that need more auto-fix depth and special agents.

FAQ: Coros AI Support, Fix Speed, and Key Features

Use Case

How did Coros achieve 10X faster fixes?

By auto-handling the most common support flows and using AI-driven diagnosis, Coros cut time to resolution and kept escalation smooth.

What issues can AI support fix for wearables?

Common issues include device setup, firmware updates, data sync errors, and sensor troubleshooting—areas where AI can guide customers step by step.

What is the fix rate for Coros with AI support?

Coros reaches about 70–80% auto resolution, with hard cases routed to humans using clear summaries.

What are the key features of the AI support system?

Key features include multi-agent routing, guided fixes, knowledge accuracy, multi-language support, and clear human handoffs.

Is AI support reliable for tech support?

Yes. When trained on product docs and tied to support flows, AI support can give steady, accurate answers and improve customer satisfaction.