Customer reference | Hermes Fulfilment GmbH

AI chatbot:
Database query
in natural language

Technologies used:

The customer

With over 8,000 employees, Hermes Fulfilment GmbH, part of the Otto Group, is a specialist in logistics and fulfillment services that supports companies in the online and mail order business. From warehousing, picking and packing to shipping and returns management, the company offers the processing of all goods flows.

The challenge

Hermes Fulfilment was faced with the task of analyzing enormous amounts of data from warehouse and returns processes and making it usable. However, complex BI systems made it difficult for both occasional users and experts to access important data and reports.

To overcome this challenge, Project PAKI was created as part of our design thinking workshop. The aim of the project was to simplify data-driven decision-making through the use of an AI-supported chatbot and to increase the efficiency of logistical and financial management.

THE SOLUTION: AI-CHATBOT “PandA”

At the heart of the project is the chatbot “PandA”, based on IBM watsonx technology and developed for IBM Planning Analytics. PandA enables users to access reports and multidimensional data in natural language.

The most important functions:

Intelligent database query: With PandA, users can find reports and analyses simply by asking questions in natural language, without having to know complex search parameters.
Guided Dialogs: Occasional users are guided step by step through the various dimensions of the multidimensional databases. This provides them with targeted results that are precisely tailored to their needs.
Expert mode: For experienced users, the chatbot offers the option of performing detailed and complex queries for specific data. This saves time and ensures more precise results.
Access to specialist knowledge: The chatbot provides comprehensive documentation and expert knowledge from a central knowledge database, making previously isolated knowledge accessible.
Seamless support integration: If a user gets stuck, they can contact their own support team directly via PandA and receive targeted help.

The result

Increased efficiency
and time savings

An internal evaluation showed that 100% of users have saved time and want to continue using PandA. 38 % even stated that they saved more than 20 % of their time.

Improved
data accessibility

Simplified access means that well-founded decisions can be made in cost center planning and logistics and misinterpreted key figures can be reduced.

Increase in
user-friendliness

Casual users benefit from intuitive access thanks to the guided dialog. Experts also work more efficiently by using the expert mode.

Promotion
of innovation

Cooperation between specialist departments, IT and external partners has been strengthened. Positive feedback provides motivation for further AI projects.

Your contact persons

Our team is always available to answer your questions, discuss solutions and start your sustainability transformation.

Get in touch with your contact person now or use our contact form.

Philipp Krauleidies

Senior Sales Manager

p.krauleidies@bi2run.de

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Helmut Langer

Managing Director

h.langer@bi2run.de

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WE ARE READY FOR YOUR CHALLENGE!

BI2run GmbH & Co. KG
Nord Carree 7
40477 Düsseldorf

Phone: +49 211 92413127
E-mail: mail@bi2run.de

Customer reference | Hermes Fulfilment GmbH

AI chatbot:
Database query
in natural language

The customer

The challenge

THE SOLUTION: AI-CHATBOT “PandA”