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Dixa > Case Studies > How Globetrotter successfully increased its self-service rate in times of high demand
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How Globetrotter successfully increased its self-service rate in times of high demand

Technology Category
  • Application Infrastructure & Middleware - API Integration & Management
  • Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
  • Retail
Applicable Functions
  • Sales & Marketing
Services
  • Software Design & Engineering Services
  • System Integration
The Challenge
Globetrotter, a leading outdoor retailer in Europe, was facing challenges with its service department. The department was operating at maximum capacity and was not equipped to scale. The company was struggling to automate and digitize the service department to meet customer expectations of 24/7 support. The situation was exacerbated by the Covid-19 pandemic, which led to a shift from in-store to online shopping, resulting in an increased demand for support. Prior to implementing a solution, the service department was overwhelmed with the number of requests coming in via phone and email. They were also struggling to set up the right tools and structure to support the team in their daily work.
About The Customer
Globetrotter is one of the biggest retail companies in Europe, specializing in outdoor clothing and equipment. The company was founded in 1979 and has been part of Fenix Outdoor International AG since 2015, which includes the Fjällräven brand. Globetrotter operates 16 branch offices in Germany and employs over 1,100 people, including 26 customer service agents. The company offers its products both in-store and online. Globetrotter is committed to providing its customers with a great experience, including customer service. The company has a two-fold business model, providing their product range on site and on the web, which made the switch easy for their customers during the Covid-19 pandemic.
The Solution
Globetrotter implemented a chatbot named Globe-Botter to help manage the increased demand for customer service. The chatbot was developed using Solvemate’s easy-to-set-up platform, which allowed Globetrotter to quickly digitize its support strategy and automate it. The chatbot offers over 100 solutions to the most common customer requests, including online orders, buying advice, returns, customer account, as well as tracking and tracing. Tracking a shipment is simplified by Solvemate’s integration with parcelLab, which developed a routine for Globetrotter customers to inform them about every step of their order journey. The chatbot has been widely accepted and used by the customers right from the start, displaying around 6,000 solutions in the first month after its implementation.
Operational Impact
  • The chatbot has been widely accepted and used by the customers right from the start, displaying around 6,000 solutions in the first month after its implementation.
  • The chatbot's popularity grew steadily, with the self-service rate currently at 66% and continues to trend upwards.
  • The implementation of the chatbot as the first line of defense allowed the support agents to minimize their backlog of tickets and have more time to use their product expertise for the more complex customer inquiries.
Quantitative Benefit
  • Self-service rate increased to 66%
  • Chatbot adoption significantly increased in the first month from 6000 to 7000 (in peak times even over 8600)
  • Ticket volume decreased by 27%

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