Chatbot Case Study

How ROLLER offers excellent service thanks to a chatbot and handles complaints automatically with a smart AI workflow.

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"Thanks to the introduction of the chatbot, internal processes and workflows have been set in motion that we didn't have before. This has been of great benefit to us."

Chris quote Chris Wendland
Team Leader Customer Service
ROLLER GmbH & Co. KG

About the use case

As with many companies, inquiries often arise outside of service hours. Even if many issues could be resolved independently in the online portal, customers still pick up the phone. This leads to long waiting times and a high workload.

With the introduction of a chatbot, ROLLER wants to increase availability, strengthen the self-service area and relieve the agents so that they can devote themselves to more complex 2nd level issues.

ROLLER had no previous experience with chatbots in the company. The bot therefore represents a new additional channel, the handling and setup of which must first be learned. It also means a switch to asynchronous communication.


From workshop to live bot in just 8 weeks

The internal service processes were jointly analyzed in an intensive on-site workshop at ROLLER in Gelsenkirchen. The requirements for future-proof digital customer service were then examined for automation potential in conjunction with the BOTfriends X platform.

BOTfriends Case Study Roller Timeline

After the workshop, the creation of the conversational design and development of interface integrations began. At the same time, knowledge was built up within the organization so that further maintenance and development could be carried out independently by Roller.

"Our goals and the current situation were analyzed in detail during the workshop. What was particularly important was how we could adapt our existing system landscape to the bot."

Sandra quote Sandra Germeroth
Head of Department Customer Service Center
ROLLER GmbH & Co. KG

Feature highlight: Automated complaint management

One highlight of the bot is complaints management. It processes orders from the online store as well as purchases from the brick-and-mortar stores. Complaints processes used to be very time-consuming and involved several specialist departments.

The AI workflow handles this process thanks to a combination of Generative AI and NLU. Users have the option of describing their complaint, uploading photos for easier identification and confirming their identity using the receipt or invoice number. The bot then forwards the request to the correct department.

BOTfriends Case Study Roller Chatbot

Following the successful integration in the service area of the ROLLER website, the global rollout is now taking place on the rest of the website.

The chatbot supports customers with, among other things:

Arrow Icon Medium Check article availability
Arrow Icon Medium Initiate return/reclamation
Arrow Icon Medium Check article availability
Arrow Icon Medium Shipment tracking
Arrow Icon Medium Handover to Service Agent
Arrow Icon Medium Arrange a consultation appointment

"With the introduction of the schematic complaint query by the bot, we are able to process inquiries more quickly. This simplifies the process for both users and employees."

Sandra quote Thorben Drescher
Deputy Head of Department Customer Service Center
ROLLER GmbH & Co. KG

Success in figures

ROLLER's digital assistant "Dea" clearly shows how successful a chatbot can be if a company recognizes the need and implements an AI solution in a targeted manner.

BOTfriends Case Study ROLLER KPIs

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  • Link to the video interview
  • Recommendations for your bot projects