5 Trends of a Logistics ERP in 2023


In this article, we explore the technological trends present in the discourse of the most competitive logistics ERPs on the market.

The market for business management platforms is facing an unprecedented offer. Industry 4.0 technologies with which to generate tools that improve the productivity of companies are booming. A study by the consulting firm Accenture states that only when the organization's main IT system (ERP) is capable of driving the innovation and agility demanded by the current consumption model can the organization gain in competitiveness. The digitization of companies is an almost necessary event for all organizations of our times and having a warehouse and transport management software for freight forwarders has become a necessity for the logistics sector.


ERP software integrations in and out of the cloud.

A good management system must be able to manage corporate information securely. But it must also be able to link with the rest of the organization's platforms. For example, it should be able to link accounting systems (which are part of the on-premise finance package) with traffic operations (in cloud format). This hybrid situation of solutions is the strategic trend of many CEOs. That's why ERPs must be able to establish robust interfaces with the different platforms.

The power of "real-time" logistics ERP


Lean production models rely heavily on the ability of management systems to support real-time responses. In the transportation and logistics sector, this allows to maintain the traceability of shipments. As well as to simulate, plan and model forecasts from within the same ERP for transportation and logistics. According to the same Accenture report, more than two-thirds of current solutions do not have analytics architectures that support these functionalities. The concept of "intelligent architectures" for ERP is becoming a necessary innovation in the new versions. Real-time decision making is becoming an integral part of the processes. It is no longer a separate procedure from the activity itself.

Mobility

Companies are increasingly adopting decentralized models of operation. Workers located in different geographical locations, access to different means of communication... For this reason, the trend is for ERPs for logistics operators to considerably improve their accessibility and user interface. To allow operating from different device sizes and bandwidths. Tools related to commercial management, for example, are the first to adopt full accessibility.

ERP integration with the Internet of Things (IoT)

The IoT boom, due to an unprecedented combination of performance and cost, means that we can now collect data on any parameter of interest to our business. Companies like Aine IoT manufacture a device for real-time monitoring of containers, with intelligence to detect shocks, temperature changes and out-of-range movements. This information must be visualized and used in the business management platform, so the trend at the level of a logistics ERP is to integrate in a secure and agile way all the information that can provide valuable information to the business operations.

Business Intelligence applied to the logistics sector

Nowadays any company, no matter how small, generates thousands of data in its daily operations. Data that can be converted into valuable information for organizations, with the right analysis tools. Technologies such as machine learning, a branch of artificial intelligence, have proven to be highly valuable tools for capturing this data and converting it into relevant information that allows, on the one hand, to improve decision-making and, on the other, to automate day-to-day decisions. In this way, Business Intelligence modules are gaining more and more prominence in the ERP for freight forwarders 2022 offering, through the adoption of technologies that improve decision making.

Logistics ERPs tend, in general, to respond more securely, quickly and reliably to the constantly growing information management of organizations. Big data from hybrid systems, IoT, integrations and multiple users. The importance of its presence in companies as an orchestrator of information for decision making is unquestionable.

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