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:
How to better cope with demand volatility
Matching themes: Analytics, Covid19, production planning, Production-to-Supply, Risk Management, Security of supply, VUCA
The coronavirus crisis has revealed a long-standing challenge for suppliers even more clearly: How reliable are the demand forecasts they receive from their customers? High volatility and uncertainties in demand forecasting are not limited to pandemic times. Even in the “normal state”, the originally reported requirements can differ considerably from the materials actually called off. The decisive question is therefore: How can you improve forecasting and thus also achieve a higher level of planning accuracy? Read more
How to implement an efficient risk management system
Matching themes: Analytics, Covid19, Inbound Supply Chain, Inbound Supply Chain, Material Visibility, Risk Management, Security of supply, smart logistics data, Smart Supply Chain, supply risks, Transparenz, VUCA
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
3 Use cases how companies benefit from Smart Logistics Data
Matching themes: Analytics, Inbound Supply Chain, Risk Management, Security of supply, Sensors, smart logistics data, Smart Supply Chain, supply risks
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
How to avoid missing supplies with Smart Logistics Data
Matching themes: Analytics, Data Lake, Inbound Supply Chain, SCPM, smart logistics data, Smart Supply Chain
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
Why comprehensive data consolidation is the basis for efficient risk management
Matching themes: Analytics, Risk Management, Security of supply, Smart Supply Chain, supply risks
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
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
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