Navigating the quantum revolution in logistics

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Logistics management has entered a new era, marked by the demand for rapid shipping, optimised value chains and real-time adaptability to supply chain disruptions. This flexibility isn’t a nice-to-have. Your organisation must be flexible enough to adapt in

To embrace this new wave of logistics operations, your systems and technology must be ready to solve complex shipping challenges in a fraction of the time once required. Logistics organisations can harness quantum computing and other next-gen technologies to thrive in this environment.

Here’s how.

Fitting quantum computing into the logistics puzzle

Previously confined to the pages of science fiction, quantum computing has become a powerful tool, poised to reshape logistics operations. Unlike classical computers, quantum computers use quantum bits or qubits, representing multiple states simultaneously. This enables them to process vast amounts of data and perform complex calculations at lightning speed. Quantum annealing, a subfield of quantum computing, is particularly relevant to logistics as it helps solve complex optimisation problems efficiently.

Managing your logistics operations more effectively could require analysing the massive volumes of data you acquire every day. Traditional computing methods struggle to process this data quickly, leading to delays and suboptimal decisions. Factors like weather events, traffic and unforeseen delays can disrupt routing and scheduling, making near-real-time data processing crucial.

All these factors combine to make logistics ripe for quantum innovation. Logistics organisations face four key challenges where quantum computing shines:

• Data: Quantum computing can analyse vast datasets within seconds, expediting decision-making.
• Complex modeling: It can accurately model complex systems, such as if/then scenarios, to help with predictive aspects of logistics management.
• Urgent decision-making: Quantum computing enables real-time data analysis, enhancing operational efficiency.
• Complexity challenges: Quantum computing solves intricate optimisation problems that conventional computers struggle with, such as finding the most optimised routes.

Logistics optimisation in real-life

Far from being an aspirational vision, quantum-powered logistics has matured into a practical solution with transformative implications for your operations. Here’s an example.

Consider the process of building a unit load device (ULD) or pallets for air or truck shipments, and the potential routes that could be taken to reach their final destinations. Your team has an influx of data from various sources, such as crucial information about shipments’ dimensions, weight and contents, handwritten notes on damaged packages, and offline decisions made on shipment exceptions. With quantum computing, logistics organisations can process vast amounts of data in near-real-time, enabling you to make data-informed decisions better and faster via logistics optimisation and analytics.

Because some of this data is generated offline, your system misses out on important feedback that should be integrated for continuous improvement. But there’s a fix. Logistics management systems can collect the data via intelligent process workflows and then use artificial intelligence and advanced analytics to learn and improve the ULD and pallet-building process. And because logistics operations deal with so much data at any given time, adding quantum computing allows this data to be utilised in the timeframe the operations team needs to respond.

Pioneering the new era in logistics management

Are you ready to experience the new frontier of logistics innovation? Unisys is at the forefront of developing next-gen computing capabilities to help organisations extract maximum value from your logistics operations.

Learn how groundbreaking advancements in quantum computing, artificial intelligence and advanced analytics are redefining how organisations manage logistics on October 17. Register for Unisys’ priority access list and live-stream launch event here.

Listen to Unisys’ Sean Tinney explain how quantum logistics is marrying the capabilities of quantum computing with traditional, artificial and advanced analytics capabilities.