Daniel Adelhardt

Vice President Product Management & Development

My vision is to advance supply chain digitization with leading-edge solutions. Together with my division, I am therefore developing innovative, cloud-based applications for transport and supply chain processes. We combine technological trends from the fields of Big Data, Artificial Intelligence, Cloud Integration & API Management to optimize business processes for Industry 4.0, Smart Factory & Logistics.

Posts by Daniel Adelhardt:

SCM Insights
April 16, 2020

How to implement an efficient risk management system

Matching themes: Analytics, Inbound Supply Chain, Material Visibility, Risk Management, Security of supply, smart logistics data, Smart Supply Chain, supply risks

Teaser image: Efficient risk management is key to making supply chains and production capacities more resilient, and thus more crisis-proof
Efficient risk management is key to making supply chains and production capacities more resilient. To obtain the full picture, you need to consider suppliers, logistics as well as external events

The current coronavirus pandemic poses enormous, unprecedented challenges for companies. Efficient risk management plays a central role in meeting these challenges. It is not so much a question of whether the current situation could have been anticipated and planned for. Rather, the focus is on how companies can now best protect their core processes and increase the resilience of their operations. Read more

SCM Insights, Technology, Use Cases
July 18, 2019

3 Use cases how companies benefit from Smart Logistics Data

Matching themes: Analytics, Inbound Supply Chain, Inbound Supply Chain, Risk Management, Security of supply, Sensors, smart logistics data, Smart Supply Chain, supply risks

Smart Logistics Data help you to anticipate potential risks and proactively take countermeasures. Here are three typical uses cases
Smart Logistics Data helps you to anticipate potential risks and proactively take countermeasures to ensure a smooth production process as well as high production quality and supply reliability

Transport damages to goods, delays in delivery, poor delivery reliability: These are three typical use cases in which Smart Logistics Data helps to identify and counter risks well in advance. Read more

SCM Insights
February 26, 2019

How to avoid missing supplies with Smart Logistics Data

Matching themes: Analytics, Data Lake, Inbound Supply Chain, SCPM, smart logistics data, Smart Supply Chain

Smart Logistics Data combine production-specific information with artificial intelligence to prevent companies from missing supplies
Smart Logistics Data combine production-specific information with artificial intelligence to prevent missing supplies.

Missing supplies, i.e. delayed, deficient, and completely absent deliveries, are a serious and recurring problem for companies. But what can you do? And how can you ensure that ordered goods actually arrive on time?

Smart Logistics Data – that is, the intelligent collection, enrichment, and usage of data relevant to the logistics process –  promises relief.

Read more

SCM Insights
November 29, 2018

Why comprehensive data consolidation is the basis for efficient risk management

Matching themes: Analytics, Risk Management, Security of supply, Smart Supply Chain, supply risks

The success formula for efficient risk management: Tear down the silos and consolidate your data first
The success formula for efficient risk management: Tear down the silos and consolidate your data first

Nowadays, everyone is preaching that data is the new oil. But unlike oil, it’s not (just) the sheer output volume that matters here. What really counts is the efficient use of this data so as to draw the right conclusions in terms of the supply chain reliability. Read more

SCM Insights, Technology
November 13, 2018

Smart Logistics Data: The intelligent supply chain

Matching themes: AI, Analytics, Data Lake, Inbound Supply Chain, Inbound Supply Chain, SCPM, smart logistics data, Smart Supply Chain

Smart Logistics Data enables a change of perspective to look ahead instead of backwards
Smart Logistics Data enables a change of perspective to look ahead instead of backwards

A supply chain has to be agile, robust and resilient. Capable of anticipating potential risks and responding in advance, detecting problems early on and flexibly circumventing them.

All this requires the intelligent use of data. But how can we really make data “smart”? Read more

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