AI
To assist. Not replace.
Finding New Opportunities for
Growth in Transport
Leveraging big data to reignite the logistics industry.
The smooth running of your logistics operations is increasingly dependent on your use and understanding of data. As supply chains have become increasingly diversified and globalised, and customers’ expectations around delivery timescales are ever more demanding, the slightest misjudgment or miscalculation can result in major issues.
And yet, so many logistics providers are still reliant on outdated IT infrastructures, and siloed data sets held across warehousing, fleet operations, route planning and port operations. In this context, there is a very real opportunity to leverage the power of AI to understand and foresee fluid market dynamics and supply-demand challenges.
A now indispensable planning tool
Planning is everything in logistics and transport: ensuring drivers take the right route can make the difference between shipments being on time or days late. Planning to ensure you have the right numbers of the right products in the right place can make the difference between busy retail outlets and empty shelves. Preparing for the unexpected, and being able to react rapidly to a shift in customer demand or a critically important order, may mean keeping major clients or losing them to a rival.
In all of these cases, the additional accuracy, deep discovery capabilities and learning functions of AI can make a transformative difference to T&L businesses. Quantum’s artificial intelligence tools, once applied to your systems, can mine years of historic journeys, stock movements and supply / demand trends to provide an infallibly accurate understanding of previous performance. Our unique algorithms also facilitate the implementation of i-DPA to streamline business operations, and continually optimise processes, intelligently.
Understanding the past is just part of the puzzle
By applying additional external and internal datasets, and implementing self-learning neural networks, Quantum AI’s solutions enable you to outdo historic performance and uncover new opportunities to streamline operations and improve organisational performance.
How can AI be optimised for Transport & Logistics?
Scanning, surveillance and automation are increasingly linked in the logistics environment by linking cameras to AI. This is already enabling far-reaching, and otherwise unrealised changes in what have hitherto been considered ‘norms’. Thanks to artificial intelligence “seeing” logistics operations in new ways, companies are revisiting their approaches to everything from packaging shapes and sizes through to shipment tracking and surveillance.
Quantum AI sees the merging of advanced camera technologies and AI – already seen in ‘autonomous’ cars, having a substantial impact on the future of the industry, and one which we expect to be at the forefront of.
Such objections misunderstand the true value of AI. This comes in fact from working alongside humans, and allowing them to do the tasks that they can excel at, customer service, emotional intelligence, personal recommendations etc. Artificial Intelligence works away at mundane, repetitive functions, or identifies areas where inefficiencies occur.
Using AI does save businesses time and money, but rarely does it do so sustainably by replacing people. Rather, it does so by reducing human error and optimising process-oriented tasks quickly, efficiently and around the clock.
Quantum AI compliments and supports human team members by informing them of the challenges, historic events, and suggested improvements for the future.
Automating workflows intelligently
There are many elements of logistics which lend themselves to automation. Indeed, in many areas machines are already employed to perform low-value, dangerous and/or repetitive tasks. But automation alone only solves half of the challenge: to truly realise the benefits of automation, your business needs to look beyond simply automating an existing process.
Incorporating AI into your automated workflows has far greater potential to streamline complex back-office systems on a global scale.
Where automation alone can remove errors and improve efficiency, AI enabled automation provides opportunities for continuous improvement and identification of new ways of working, while also tracking and tackling higher-value, less repetitive tasks, from document management and shipment management to customs and compliance notices and tracking.
In such contexts, AI will become an increasingly important partner for workers across the business, helping staff across a multitude of business units to upskill and work more effectively thanks to deeper data insights and quicker response times.
Man cannot discover new oceans unless he has the courage to lose sight of the shore.
– André Gide, Author
And what’s next?
The possibilities for what AI can deliver in for logistics businesses are endless: from leveraging IoT to track movements of goods and assets across warehouses, vehicles and customer sites, or enable autonomous delivery vehicles to consistently find the quickest most fuel-efficient routes to their destinations, it’s clear that the potential impact of AI may just be bigger in the logistics space than any other single business sector.
AI has a powerful role to play in all areas of the media industry
Edge analytics
Enables fast and decentralised learnings to be gathered from multiple datasets and applications within the business and externally.
Tracking and forecasting activity
Understanding historic performance and the factors influencing that performance enables accurate, insightful planning of future activities.
24×7 Operations
Optimise operational activities around the clock, respond to live events, and maximise your global logistics by automating key functions with AI.
