“Technology can process information faster, but it cannot fully understand stakeholder sensitivity, relationship history, or the practical realities behind supplier decisions,” emphasizes Manoj Bhatia, SCM Industry Expert. His perspective points to a future where AI delivers speed and efficiency, yet the true differentiator lies in human judgment—anchoring resilience, ethics, and balance in supply chains that must navigate volatility and complexity.
How do you see the role of human decision-making changing as AI technologies scale in markets like India?
We often talk about VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) as if it is a management concept, but for supply chain teams today, it is simply the operating environment. Geopolitical disruptions, supplier instability, regulatory changes, logistics uncertainty, and shifting customer expectations now influence sourcing decisions far more regularly than they did earlier. In that kind of environment, AI becomes an extremely valuable support tool, but not a replacement for human judgment. One thing experience teaches very quickly is that context matters as much as data.
I remember when I worked with a global organisation operating across both pharma and consumer products businesses, the contrast between the two sides was remarkable. The pharma business operated within highly regulated timelines and compliance structures, while the consumer side moved at a completely different pace driven by market pressures. The priorities, risks, and decision cycles were entirely different even within the same organisation.
Technology can process information faster, but it cannot fully understand stakeholder sensitivity, relationship history, or the practical realities behind supplier decisions. Those situations still require judgment, balance, and accountability. Even in my current role leading global procurement operations, the visibility available through analytics today is far ahead of where the industry stood a decade ago. The tools genuinely help. But the moment a sourcing decision involves reputational risk, commercial sensitivity, or supplier complexity, human judgment becomes far more important than dashboards alone. And in India especially, many supply chain realities still sit outside structured systems. Regional operating practices and local business dynamics are often understood better through experience than through standardised global AI models.
Which traditional supply chain roles are losing relevance, and what new roles are emerging?
The shift happening in supply chains today is less about replacing people and more about changing the kind of work people spend their time on. When I was leading transformation initiatives at a large Indian organisation, one thing became obvious very quickly. Highly capable professionals were spending far too much time on repetitive operational activities such as manual PR-to-PO processing, approval follow-ups, and recurring reporting. The capability existed within the teams, but too much of the day was being spent on low-value activities.
That transformation journey was built around what internally became known as the three Ps: People, Process, and Platform.
People came first because transformation rarely succeeds through technology alone. Teams needed confidence, exposure, and opportunities to move into more strategic work. The second focus was process simplification and standardisation to reduce unnecessary manual dependency. Only after that came platforms and automation.
That sequence made a real difference. As repetitive work reduced, teams became more involved in category strategy, stakeholder management, supplier engagement, and business partnering. The conversations themselves started changing. Teams that were earlier focused mainly on transactions gradually became far more aligned with business priorities and decision-making.
I can see the same shift happening very clearly across GCC environments today. Earlier, many GCC structures were designed primarily around execution support and operational efficiency. Today, organisations increasingly expect GCC teams to contribute to analytics, governance, sourcing strategy, transformation initiatives, and global business decision-making. While transactional activities are steadily declining, demand for higher-order capabilities is growing rapidly. The professionals becoming most valuable now are the ones who can combine commercial understanding, digital awareness, stakeholder management, and supplier relationship skills.
What are the most essential skills for the next generation supply chain professional?
Alongside my corporate experience, I also interact regularly with students at various business schools as a guest speaker. One topic that comes up quite often during those interactions is how young professionals can remain relevant in an environment increasingly shaped by AI and automation. My answer is usually that technical knowledge alone will not be enough. The professionals who will stand out are those who can adapt, think clearly under pressure, and work effectively in rapidly changing business environments.
Adaptability is probably the most important capability today. Supply chain environments change faster than operating models can fully stabilise. Professionals are expected to navigate technology transformation, regulatory shifts, supplier disruptions, and changing stakeholder expectations, often all at the same time. The ability to stay composed, learn quickly, and adjust without losing business focus is becoming extremely valuable.
Data fluency is equally important. Not necessarily advanced coding or technical modelling, but the ability to interpret information intelligently and recognise when something does not fully add up, even when the numbers appear correct.
Judgment under pressure also matters enormously. I still remember a major technology sourcing situation in a global entertainment environment where a key vendor stopped delivering during an important phase of execution. Contracts alone were not enough to resolve the situation quickly. What ultimately helped was relationship management, commercial thinking, and the confidence to make decisions without waiting for perfect information.
Another critical capability is stakeholder influence. Procurement and supply chain professionals increasingly work across multiple functions without formal authority, making communication and alignment all the more important.
And finally, legal and commercial reasoning remains highly underrated. Supply chain decisions today often carry legal, financial, operational, and reputational implications simultaneously. Professionals who understand those connections will always have an advantage.
What are the most effective ways to bridge the talent gap?
Most organisations today acknowledge there is a growing capability gap in finding professionals who can adapt to rapidly changing business environments. The challenge is that almost every organisation is looking for a very similar profile: professionals who combine commercial understanding, digital awareness, stakeholder confidence, and operational depth. Demand far exceeds the available talent pool. Which is why organisations cannot rely only on external hiring. Capability building within teams has become equally important. But meaningful capability development goes far beyond workshops and certifications. Real learning usually happens through exposure to practical business situations.
When I was leading transformation and Centre of Excellence initiatives, one approach consistently proved effective. Teams were given opportunities to work closely with finance, legal, technology, and business stakeholders on real sourcing challenges rather than only classroom-style training. Junior professionals participated in live negotiations and business discussions alongside experienced leaders. That kind of practical exposure builds confidence and decision-making capability much faster than theoretical learning alone.
I have also seen that transformation becomes far more sustainable when organisations invest in structured capability-building rather than isolated training programmes. Teams that were once focused mainly on transactional execution gradually moved into more strategic and business-facing roles. There is also a larger industry-level challenge here. Many academic programmes are still preparing students for business environments that have already evolved significantly. Industry and academia need much closer collaboration so that future professionals are better prepared for the realities organisations face today.
How are organisational structures and leadership models evolving?
Traditional organisational structures were built around large operational teams executing defined processes, with decision-making concentrated at the top. That model is changing quite rapidly. As automation reduces repetitive work, organisations increasingly require smaller but more capable teams that can solve problems, manage stakeholders, and contribute strategically rather than simply execute tasks.
This shift is especially visible across GCC environments today. Earlier, success was largely measured through efficiency and cost optimisation. Today, organisations increasingly expect GCC teams to contribute to analytics, governance, transformation initiatives, and global business decision-making.
Leadership expectations are evolving as well. In the past, authority often came from controlling information and processes. Today, information is widely accessible, and systems are increasingly automated. The leaders who stand out now are those who can operate comfortably in ambiguity, remain calm during uncertainty, and make balanced decisions even when information is incomplete. There is also a stronger expectation for leaders to be collaborative rather than purely directive. Modern business environments move too quickly for siloed leadership models to remain effective.
How should organisations balance trust in AI recommendations with human judgment in high-stakes situations?
For structured, repeatable activities where data quality is strong and the downside risk is manageable, organisations should absolutely leverage AI and automation. That is where speed, scale, and efficiency create real value. But the moment decisions involve supplier relationships, commercial sensitivity, legal exposure, or reputational risk, human judgment becomes essential. I have seen situations where dashboards and analytics pointed in one direction, but practical business realities pointed in a very different direction. Systems can process historical patterns extremely well, but they cannot always understand context, stakeholder sensitivity, or the history behind complex supplier relationships.
One issue that deserves far more attention is automation bias. People naturally tend to trust outputs more when they come from systems and dashboards. But experienced professionals often bring contextual understanding and practical knowledge that systems have never seen. That is why organisations need governance structures that clearly define where human oversight is necessary. AI should support decision-making, not replace accountability. Ultimately, the organisations that will benefit most from AI will not be the ones that rely on it blindly. They will be the ones that combine technology with strong judgment, balanced governance, and experienced leadership.
What will differentiate supply chains in an AI-driven future?
Over time, the technology gap between large organisations is likely to reduce significantly. Most companies will eventually have access to similar automation tools, analytics capabilities, and AI platforms. What will truly differentiate organisations is the quality of decision-making and leadership sitting on top of that technology.
The strongest supply chains will not necessarily be the ones with the most sophisticated systems. They will be the ones with professionals who know when to trust technology, when to challenge it, and how to respond when situations move beyond predefined processes. I believe the real differentiator will increasingly come from human capabilities such as adaptability, commercial judgment, relationship management, and the ability to make balanced decisions under pressure. The organisations that will stand out in the future will not simply be the ones investing the most in AI. They will be the ones that combine technology with capable teams, strong governance, and leaders who can operate confidently in uncertain environments.
(Disclaimer: The views, insights, and opinions expressed in this interview are solely those of the author and are shared in an individual and professional capacity. They do not necessarily represent or reflect the official views, positions, strategies, or policies of the author’s employer, its leadership, subsidiaries, or affiliated organisations. The discussion is intended purely for industry knowledge-sharing and thought leadership purposes. )
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