IN Brief:
- Supply chains have moved beyond linear fulfilment models into complex ecosystems where small operational failures can create wider disruption.
- A practical resilience framework should start with operational baselines, bottleneck diagnosis, and targeted quick wins before larger technology investments.
- AI, automation, robotics, and analytics can add value, but only when they are aligned with clear processes, usable systems, and measurable business needs.
By Matt Sherwen, Managing Director at Sherwen Studios
Historically, supply chains have focused on getting a product from A to B. The logistics have been relatively straightforward: the vendor takes the order, communicates it to the warehouse/manufacturer, who sends the goods to the customer. But now, those linear supply chains have become far more dynamic. They have become complex ecosystems that involve multiple partners, technologies, and geographies.
While these systems are more intuitive, they’re also more fragile
A minor disruption in one place can now cause widespread chaos across the entire distribution line. For example, a single technical issue in a warehouse, such as a mis-scanned pallet or a system outage, can delay outbound shipments, disrupt distribution channels, and ultimately lead to missed deliveries, poor customer service, and financial losses.
Regardless of what sector you work in, no business can afford to run those risks.
That’s why supply chains need holistic oversight and a strategic framework that aligns people, processes, and technology to anticipate and adapt to change.
Improving supply chain efficiency is not just a technical transformation
It’s easy to assume that efficiency gains come from technology. AI and automation have become game-changers in productivity and scaling up systems and processes. But while having the proper technical infrastructure is essential, it’s not the silver bullet businesses might be hoping for.
That’s because too often, businesses invest in the wrong technology. They don’t necessarily understand the problems they are trying to solve, resulting in wasted resources and a negative ROI.
Before realigning their technical foundations, businesses should clarify their operational reality.
They need to ask themselves:
What issues are causing delays or errors?
Where do bottlenecks occur?
Which processes lack accountability or visibility?
Identifying the answers to these questions will help businesses start to address the root causes of any problems.
Without this clarity, businesses risk investing in solutions that don’t address root causes. Supply chain resilience requires a structured approach that combines operational insight with targeted technology adoption.
A three-step framework for sustainable progress
To help businesses future-proof their logistics and improve supply chain resilience, we recommend a proven three-step methodology that addresses operational issues and ensures that digital investments are spent in the right places.
This practical framework ensures that improvements are strategic, scalable, and aligned with long-term goals.
Step #1 is about understanding the operational baseline
Before jumping into decisions or technical changes, businesses need to critically assess processes, data flow, and performance metrics.
Process analysis should observe how businesses document inbound items. How does replenishment work? What are the processes involved with picking, packing, shipments, or returns?
Data analysis is about understanding how information moves between systems and stakeholders. It’s establishing whether there is any loss of information during the transfer between digital and manual systems.
Performance metrics are about checking existing KPIs so businesses can have a benchmark for potential improvements. For example, what is the pick accuracy? What are the returns metrics, inventory accuracy, or product cycle time?
Taking this step will ensure that organisations critically reflect on how they are currently working. From there, they need to question why they are working in those ways.
The answers to those two questions should help them understand their operational baseline. If the answers are still unclear, that indicates root-cause inefficiencies that need to be addressed before any technical improvements can begin.
Step #2 diagnoses bottlenecks and overcomes challenges
With the baseline operational challenges identified, businesses can move into specific bottlenecks and challenges. This discovery phase allows them to determine which specific issues are causing escalating derailments and longer-term problems elsewhere within the supply chain.
It’s about recognising whether those bottlenecks are internal or customer-facing. If they are inbound, are they caused by freight delays or labelling issues? If the problems are internal, do staff shortages cause them, or is more training needed? Are customers suffering due to external delivery partners or unclear order cut-off times?
Ideally, these bottlenecks should be categorised into three groups: data-driven, process-driven, and resource-led.
This categorisation helps businesses focus their time and money on the right areas by identifying root causes and creating clear steps to solve problems with the right technical solutions.
Step #3 captures the quick wins before scaling and growing
Improving supply chain resilience isn’t a one-and-done solution. It requires continual management and assessment.
The data collected through steps one and two will help businesses identify quick wins that can result in immediate improvements, giving them more time to adapt to new challenges.
When they are no longer working reactively and dealing with preventable problems, it becomes easier to look at the bigger picture and start to anticipate what is needed to scale and grow.
A key part of this requires implementing a new system that establishes continual feedback loops from all users.
Listening to and collaborating with all partners across the entire ecosystem is essential because effective supply chains need a system that functions as intended, is easy to use for all users, and has the agility to predict, react, and respond to future challenges.
Once businesses have clarity, they can invest in the right solution with confidence.
Future-proofing logistics and building resilience across the supply chain requires both technical innovation and operational improvements.
These two elements must work together to deliver maximum ROI.
It’s easy to chase trends and invest in the latest technology, but without understanding the specific problems and fixing underlying processes, that approach will fail. When strong processes are in place, tools such as data analytics, robotics, automation, and AI can genuinely add value by anticipating disruptions, optimising resources, and maintaining customer trust.
This article originally appeared in the February 2026 edition of IN Supply. Read the full issue here.
