Daniel Adelhardt
Director Product Management & Development SCPM and TM
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:
3 Use cases how companies benefit from Smart Logistics Data
Matching themes: Analytics, Inbound Supply Chain, Inbound Supply Chain, SCPM, Security of supply, Sensors, smart logistics data, Smart Supply Chain, Versorgungssicherheit
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, Data Lake, Risk Management, SCPM, Smart Supply Chain, supply reliability, 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, Data Lake, Inbound Supply Chain, Predictive Analytics, 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