Posts by Daniel Adelhardt:
For more than a year now, logistics and supply chain managers around the world have been struggling with unprecedented challenges. The impact from the first coronavirus-induced shutdowns, when supply chains and transportation networks around the world collapsed, continues to ripple through the industry. High volatility in demand, natural disasters and vessel incidents such as the recent one blocking the Suez Canal have further aggravated the situation.
Problem is, transportation capacity is extremely scarce and in hot demand. Numerous aircraft are still grounded. Container shortages continue to persist for quite a while. All of this is not only hampering sea and air cargo, but also road transports.
As a result, freight rates skyrocketed, as did uncertainty for manufacturers that rely on smoothly functioning logistics chains. In many cases, it’s unclear or at least hardly possible to plan when exactly their materials are going to be transported. So, the ever more pressing question is: How can companies best secure their shipments and thus ensure the flow of supplies to their plants and customers? Read more
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
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
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
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.
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
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