Bicelo
& Mavenoid

Bicelo Built an Alternative to a Human Support Team in 26 Days with Mavenoid

Bicelo is an innovative e-bike rental service for hotels and hotel guests. The service is completely digital: renting, operation and support is done through the app and the website.
Mavenoid's Impact
  • 40% self-service resolution rate
  • 80% support automation
  • 3 weeks rollout time

The challenge:
A powerful alternative to a human support team

As an early-stage startup without dedicated support agents, Bicelo needed a support solution that would give their customers the power to solve most issues on their own. In addition to this, Bicelo was also looking for an efficient way to learn learn more about what their customers like, dislike, and are looking for in their service.

“We're still very early stage so don't have any dedicated support agents, however, without Mavenoid we might have needed that.”
Anders Dahlberg
Co-founder & Head of Product, Bicelo

Key features implemented

AI-guided self-service troubleshooting
Mavenoid helps customers narrow down possible solutions fast with simple diagnostic questions.

Deep product analysis
Historic support data is used to identify common problems and areas best suited for automation.

CRM integration
Mavenoid leverages existing support center content and automatically creates tickets.

Smart escalation
Requests that need a human touch are automatically routed to the right person, along with the case history.

The solution:
Guiding self-service instead of deflection

Bicelo partnered with Mavenoid to build their support solution from the ground up. Mavenoid was implemented in less than three weeks and instantly saved Bicelo and their customers a significant amount of time and effort.

Mavenoid’s product assistant is capable of both guiding users to self-solve technical problems, as well as keeping analytics of what customers are needing help with. With Mavenoid, Bicelo has been able to automate over 80% of their customers' support requests.

Less Chat, More Problem Solving

Learn How Mavenoid Solves Problems
Too Complex for Chatbots
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