DHL
Data-driven efficiency through a machine learning platform

At a glance

Client: DHL AG
Sector: Logistics & Transport
Challenge: Improving process efficiency and enabling real-time decision-making in a highly complex, global environment.
Solution: Development of a centralised, cloud-independent machine learning platform for the continuous optimisation of logistics processes.
Results: Significant efficiency gains, expected cost savings of over €6 million by 2025 and second place in the ‘Best of Consulting’ Awards (Data & AI category).

Challenge
Managing complexity, gaining agility

In an increasingly volatile market environment, DHL faced the need to fundamentally optimise its global logistics processes. The key challenge was to create a technical foundation that consolidates a multitude of heterogeneous data sources and enables real-time, data-driven decision-making. The solution had to meet the highest security standards and operate reliably in both cloud and on-premises environments to ensure maximum strategic flexibility.

Approach
A future-proof ML platform as the foundation

Together with DHL, we have implemented a central machine learning platform that is specifically tailored to the requirements of the logistics sector. The key pillars of the implementation:

Thanks to the integration of seamless data-processing workflows, operational decisions can now be made on a data-driven basis throughout the entire value chain. This enables DHL to respond immediately to changes in the market.
Technological innovation only works with people. That is why we have implemented a comprehensive training programme, which has enabled over 500 staff members to integrate the ML platform effectively into their day-to-day work.

Results and Benefits
Measurable Success and Industry Recognition

The implementation of the ML platform has transformed operational management at DHL and delivers clear economic added value:

Financial optimisation: Thanks to increased efficiency in logistics processes, cost savings of more than 6 million euros are forecast by 2025.
Real-time management: The ability to make data-driven decisions without delay leads to significantly greater flexibility in supply chain management.
Scalability: The framework created enables DHL to continuously develop new data-driven use cases and respond quickly to new requirements.
External recognition: The quality and innovative strength of this project were officially recognised by a second-place finish in the ‘Data & AI’ category at the WirtschaftsWoche ‘Best of Consulting’ Awards.