Q&A: TCS' Consumer Business Group President on AI & Retail

In an era of shifting global dynamics and frequent disruption, the traditional retail supply chain is undergoing a fundamental transformation.

What was once a singular focus on cost-efficient centralisation has evolved into a need for regional agility and technological intelligence.

The following Q&A, based on insights from Krishnan Ramanujam, President of the Consumer Business Group at Tata Consultancy Services, explores the strategic move toward "federated" supply chains. This new blueprint leverages localised autonomy and advanced AI to ensure that retailers remain resilient, sustainable and hyper-relevant to their customers in an increasingly unpredictable world.

We have seen a significant shift in how global retail operates lately. Why are retailers moving away from the traditional, centralised model?

The blueprint for retail supply chains has fundamentally shifted with the macroeconomic headwinds of the past 18 months.

Globally centralised supply chains used to deliver efficiency and cost advantages in a stable environment but have proven increasingly brittle in today’s changing landscape.

Ongoing disruptions – from trade tensions to fluctuating input costs and logistics challenges – have exposed the risks of overconcentration and limited visibility across extended supplier networks.

What are the specific consequences for retailers who stick to these traditional methods?

The implications are clear: traditional global supply chains no longer offer the predictability or control required to operate confidently.

Retailers are finding it harder to forecast demand, secure consistent supply and maintain margin discipline.

As uncertainty becomes a defining feature of global trade, the sector is shifting its focus from pure efficiency toward resilience and adaptability.

How does the "federated" model solve these problems and what makes it different?

Leading retailers are beginning to source their products around loosely coupled, regionally federated supply routes.

In these federated supply chains, each regional hub operates with a degree of autonomy, enabling faster adaptation to local market dynamics and disruptions. This structure enhances overall network resilience – ensuring that localised challenges do not cascade across the enterprise – while maintaining coordinated oversight at the global level.

What is the biggest hurdle in making this shift and what is the solution?

Yet, realising this transformation is complex. Designing, integrating and managing a distributed, data-rich ecosystem requires a new level of intelligence and orchestration.

AI will sit at the heart of this evolution, enabling retailers to model, optimise, and dynamically manage federated networks at scale.

Looking at the current state of global trade, how exactly will AI help navigate these new complexities?

Unpredictable tariffs, trade wars and general economic instability continue to disrupt the global trading system, resulting in widespread disruptions and critical shortages.

Such disruptions are making long-term planning difficult for retailers, forcing them to operate without clear visibility of market conditions or costs.

By diversifying saturated supply routes and shifting to more localised, loosely coupled networks, retailers will gain greater control, predictability and resilience in sourcing and distribution.

If the goal is agility, how does the technology change the planning process?

Moving towards these new, more complex supply chains will require dynamic planning.

By harnessing AI and other advanced technologies, retailers can dynamically orchestrate these loosely coupled networks, enhancing their agility and resilience in the face of disruption.

Reasoning-based AI, which possesses the unique ability to interpret vast amounts of multimodal data, can connect disparate insights from various localised networks and deliver actionable recommendations.

By analysing real-time data from multiple, smaller supply chains, AI can help retailers to optimise inventory levels, logistics routes and production schedules across the entire regionally federated network. This will ensure that resources are allocated efficiently, even as conditions shift as the network is developed.

Can retailers test these new strategies without actually risking their current operations?

What’s more, by creating virtual models to simulate supply chain operations using digital twins, retailers can facilitate real-time scenario planning to identify vulnerabilities in the network and test different strategies without real-world disruption.

AI can manage an unprecedented number of scenarios at one a given time, providing retailers with the agility needed to pivot quickly and effectively, strengthening their response to unforeseen disruptions and enabling rapid adaptation.

Beyond just surviving disruptions, what are the broader benefits of this localised approach?

Given the inherent flexibility of a loosely coupled structure, each regional node can adapt quickly to local changes without impacting the wider system, embedding resilience across the supply chain.

Whilst this is the primary focus, these loosely coupled supply chains also offer retailers the opportunity for enhanced localised relevance.

How does this change the customer experience on a regional level?

By applying AI to monitor and correlate information from the local or regional area, retailers can make real-time granular decisions about stocking, pricing, and supply, whilst also unlocking the ability to offer truly hyper-localised offerings that resonate deeply with local consumer preferences.

This precision allows retailers to adjust promotions in response to changing demand, weather conditions, or local events, tailoring products and services to specific regional demands and building stronger customer relationships.

Does this shift also address the growing environmental concerns of modern consumers?

Furthermore, these new networks will contribute to enhanced sustainability, with reduced long-distance transportation and more localised sourcing leading to a smaller environmental footprint, aligning with growing consumer demand for sustainable practices and enhancing brand reputation.

As we look toward the future, how would you summarise the long-term impact of this transformation?

As the transition toward regionally federated supply chains accelerates, retailers have an opportunity to fundamentally redefine how they build resilience, agility and customer relevance.

Proximity to suppliers enables faster response times and tighter alignment with local market dynamics, while regional diversification reduces exposure to global shocks. These capabilities are rapidly becoming not just competitive advantages, but strategic imperatives.

If AI is the brain of this operation, how does it change the very nature of a supply chain?

Artificial intelligence will be the critical enabler of this shift. By synthesising data from across distributed networks, AI provides the insight and coordination required to manage complexity at scale.

It empowers retailers to anticipate disruption, rebalance supply and capitalise on emerging opportunities in real time. This intelligence transforms supply chains from static infrastructures into living systems – adaptive, predictive and continuously optimised.

Finally, what is the ultimate benefit for the stability of the business as a whole?

Equally important, the federated model introduces a new dimension of risk management. Loosely coupled networks can isolate disruption, ensuring that a localized issue does not cascade across the enterprise. This modularity enhances business continuity and safeguards profitability.

Meanwhile, the same structure allows for dynamic load balancing – enabling retailers to capture value from regional demand peaks or shifts with far greater precision.