Logistics

Data as a driver of logistics 4.0

Transparency, Availability and Reliability. Digitalization is gradually prompting the logistics industry to rethink its approach. A new generation of internet users is changing customer behavior significantly, resulting in constantly rising expectations of the logistics industry. Current information technologies now allow goods to be tracked in real time which is a prerequisite for many customers. Customers strive for an inexpensive, spontaneous and error-free delivery and require a fast and transparent delivery. Logistics companies and service providers are confronted with a decreasing fault tolerance and customer loyalty, combined with increasing demand volatility. Logistics deliveries and logistics services are becoming more and more shorter and shorter and are therefore less valid to calculate. This development can be seen both in the B2C sector and increasingly in the B2B sector. To ensure that classic logistics companies and service providers remain competitive in the course of the changing market situation, more and more companies are adapting their customer and value orientation throughout the entire supply chain.

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David Serbin

Our cooperation partner

Data Analytics in Logistics

Data Analytics can be used promisingly for the logistics industry. By collecting, processing and combining information from different systems, large and promising amounts of data (e.g. order data, material master data, status data etc.) are available offering great potential to react to increasing cost and competitive pressure. The WDL can show you how Data Analytics can be used for more reliable and efficient warehouse and scheduling processes as well as for corporate management and to increase customer satisfaction. Thus, inventory planning, taking into account the development of customer demand, as well as route optimization can be calculated more cost-oriented using state-of-the-art analysis methods. Your data will be processed in accordance with the requirements of the German Data Protection Ordinance (DSGVO) and the Federal Data Protection Act (BDSG), which we dealt with at an early stage

A data analytics project with the WDL usually involves three agile steps:

1. Proof of Concept (PoC) - 4 weeks
We identify a suitable use case together with our customers, which is then validated on the basis of the customer's data within a few weeks. The added value becomes visible and serves as the basis for the decision for ongoing use.

2. Implementation - 4 weeks
We create an individual and user-oriented dashboard with which the Use Case can be permanently established within the company.

3. Automation - Ongoing
When transferring to automated regular operation, all relevant core systems are connected to the system and the results of your analyses are available to you at all times.

Become a pioneer in digitally controlled logistics with us today.

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Our customers in the logistics sector

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