As the supply chain world gains in complexity at an accelerated pace, technology becomes the winning edge which helps automate processes, manage networks and prioritize tasks.

More than that, technological advancements help companies manage risks, find opportunities, and solidify their operations for the future.


will give the possibility to ‘translate’ that data into human understanding, allowing for a better decision-making process, identification of opportunities, finding cost-retaining solutions, and freeing up personnel from menial tasks.

This is achievable throughout the entire spectrum comprising the AI machine, from the framework of tech components, to protocols, coding,
algorithms and other tools that can be deployed in the most critical areas of the supply chain

Digital Supply Chain Model

A digital supply chain copy of the existing supply chain in the physical world will improve a company’s decision making process, be it at an internal level, or when it comes to multi-enterprise decision making.

Also known as a digital supply chain twin, this virtual representation is a realtime, dynamic depiction of the various associations between the data objects that ultimately make up how the physical supply chain operates in the real world.

5G Networks

Though available at scale to the general public, this is the type of underutilized technological advancement with the potential of yielding some great rewards.

The introduction of 5G marks a giant leap from previous generation upgrades ( from 1G to 4G), allowing for significant enhancements impacting data speed, processing ability, distribution and visualization, and impacting a large array of devices and technology systems.

This will offer a competitive edge to any entity aiming to become the next supply chain and operations leaders.

Based on relevancy, here are the main technological upgrades that rise above the wave of smart solutions:

Artificial Intelligence

AI’s role in the supply chain mechanism consists of an array of smart options which, once set in place, will surpass human performance in the long term.

The introduction of AI will help companies fasten their understanding of high-volume, complex content types of information.


Meant as a framework to deliver automation at scale, hyperautomation is comprised of interconnected software and automation tools through the use of multiple machine learning known in the industry as MLL.

Hyperautomation is used to enhance and connect different in-house technologies, from legacy platforms to new smart tools, acting as a key communicator across all dispersed functions.


Because they’re the ones paving the round for the future – which unpredictable as it is, it does offer the certainty of data as being the major deciding factor for the success of any enterprise.

So adopting these technologies to any business model will not contribute to the success of today, but it will also ensure the company’s continuity for tomorrow.

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