Can you give us an update on how Infios has impacted our the supply chain sector over the last year?
Over the past year, Infios has undergone significant transformation — both organisationally and through continued innovation in intelligent supply chain execution. Earlier this year, the company rebranded as Infios, uniting its vision to relentlessly make supply chains better across every industry, challenge, and geography. This vision is underpinned by a clear purpose: to meet customers where they are today while helping them build the future they need.
Infios’s impact on the sector is defined by four guiding principles that shape how it partners with organisations and delivers measurable value:
•Growing with our customers: Infios works side by side with customers at every stage of their journey, driving tangible progress that accelerates growth and operational performance.
•Adaptable solutions: Its technology, services, and partnerships are designed to offer flexibility and control, evolving in step with customers’ changing needs and strategic goals.
•Purposeful innovation: Every advancement Infios delivers is grounded in practicality — prioritising improvements that create meaningful value and measurable outcomes for customers.
•Thinking ahead: By applying strategic foresight, Infios helps organisations anticipate change, navigate complexity, and make informed decisions that prepare them for the future.
Through this approach, Infios continues to shape the evolution of modern supply chain execution — empowering businesses to operate with greater intelligence, adaptability, and resilience in a rapidly changing world.
2. How would you define the next era of supply chain
In 2026 and beyond, logistics will move decisively into a new era of precision and autonomy — powered by artificial intelligence. The question will no longer be whether AI has a role to play, but how deeply it can be embedded into everyday operations and decision-making.
Clearly defined use cases will emerge as intelligent systems anticipate needs, optimise workflows, and manage complexity quietly in the background. Humans will remain in the loop — where their insight or approval truly adds value. This collaborative model between people and technology will make problem-solving faster, more accurate, and less reactive.
As AI maturity deepens, pre-built solutions will evolve into configurable platforms that allow organisations to shape bespoke, AI-enabled operations tailored to their unique challenges. Each proven use case will spark new ideas and innovations, as customers begin to imagine and create what’s next.
The most forward-thinking companies won’t just adopt AI — they’ll design it. And as this transformation continues to unfold, logistics will look increasingly intelligent, resilient, and self-optimising: systems that learn continuously, adapt seamlessly, and empower humans to focus on higher-value, strategic work.
3. Can you briefly explain what the new generative-AI agents being integrated into Infios OM will do?
The new agentic AI capabilities will be delivered as modular enhancements, enabling customers to begin with a single workflow and expand adoption as results materialise. Running natively on AWS, these AI agents are designed to deliver rapid value — ensuring that investment scales in line with measurable outcomes. The goal is to make supply chain intelligence both accessible and measurable, providing transparency into the impact AI delivers.
4. What will be the biggest benefits of the new generative-AI agents for 3PLs and for retailers?
Organisations using the Infios Order Management (OM) agent can expect tangible benefits, including:
•Automated workflows that replace manual orchestration
•Reduced exception rates as agents learn and adapt over time
•Accelerated decision cycles, shrinking from hours to minutes
These improvements translate directly into lower operating costs and a better customer experience. And because Infios AI agents continuously learn and optimise workflows, the value compounds — driving greater efficiency and resilience with every cycle.
5. How widespread do you anticipate the uptake of this by the industry will be?
We anticipate strong and accelerating adoption of these capabilities across 3PLs, retailers and distributors over the coming years. The collaboration between Infios and AWS is designed precisely to make agentic AI accessible, scalable, and immediately impactful, removing many of the traditional barriers to adoption that have slowed innovation in supply chain execution.
Because Infios agents run natively on AWS and leverage technologies such as Amazon Bedrock and Strands Agents, customers can expect proven infrastructure performance, faster onboarding, and measurable outcomes from day one. For 3PLs, that means faster time-to-value and simplified orchestration; for retailers, it means more dynamic channel expansion and greater fulfilment precision; for distributors, it means being able to stay ahead of supply and demand disruptions.
As the first wave of adopters demonstrate results — from proactive anomaly detection to real-time order rebalancing and predictive delivery insights — we expect the momentum to build quickly. These are tangible, high-impact outcomes that resonate across the industry.
In many ways, this collaboration marks a turning point for supply chain execution. By embedding agentic intelligence directly into Infios Order Management, Infios and AWS are setting a new standard for how AI can transform operations — and we believe uptake will follow the same rapid trajectory as other breakthrough technologies that have redefined logistics performance in the past.
6. Is there potential for the AI to become even more intelligent and therefore to make supply chains even more efficient?
Yes — what’s most exciting about this stage of AI development is that its intelligence isn’t fixed; it continuously evolves. As these agentic systems process more data, observe new patterns, and learn from real-world outcomes, their ability to optimise operations becomes increasingly sophisticated.
In practical terms, this means future supply chains will be capable of self-improvement — refining predictions, adjusting workflows, and coordinating decisions across networks with minimal human input. Rather than relying solely on pre-defined rules, the AI will learn from experience, improving precision and responsiveness over time.
This progression points to a future where supply chains are not just automated, but adaptive and anticipatory — able to foresee disruption, reroute proactively, and operate with a level of efficiency and resilience that was previously out of reach.
Comments are closed.