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Hans India
9 hours ago
- Business
- Hans India
HCLTech study underscores the criticality of product-aligned operating models to drive innovation, efficiency and customer value
In a world where digital transformation is no longer optional, new research, HCLTech's latest research titled The Blueprint to AI-led Operating Model: Mastering the Art of Engineering Value at Velocity, has revealed how Product-Aligned Operating Models (PAOMs) are becoming the blueprint for future-ready organizations. The report has revealed that 9 in 10 firms with a traditional operating model fail to drive meaningful returns from their investments. In an AI-driven market defined by constant disruption, a product-aligned operating model (POAM) is emerging as the key differentiator. The research surveyed 550 senior IT and business decision-makers across the US, Europe and Asia-Pacific. Key findings: 88% of enterprises are moving towards a PAOMs, with another 12% expecting to implement it within the next 3 years. Yet, 100% report facing implementation challenges. Generative AI (GenAI) is a game-changer: Nearly half (47%) believe GenAI will enhance product lifecycle management and decision-making, with APAC leading in adoption. Leadership and culture are critical: 95% of respondents say their organizations need a cultural and mindset shift to realize the full value of PAOMs. Leadership buy-in and alignment remain top barriers. Customer feedback is the untapped goldmine: Only 17% of organizations use customer feedback to its full potential, despite 94% acknowledging its importance in product development. Collaboration fuels innovation: While a third of organizations actively engage in cross-functional collaboration, yet 99.6% still see room for improvement. AI investment pays off: One in two firms with a product-aligned operating model invests in AI and is four times more likely to maximize their ROI on their AI spend compared to traditional organizations. 'A product-aligned operating model brings teams together around a shared vision, promoting cross-functional collaboration and enhancing operational efficiency. This approach enables enterprises to innovate effectively and increase their chances of achieving customer-focused outcomes,' said Ashish Kumar Gupta, Chief Growth Officer, Europe and Africa, Diversified Industries, HCLTech. 'As disruption becomes the norm, product-aligned operating model isn't just an option—it's a necessity,' said Pawan Vadapalli, Corporate Vice President and Global Head, Digital Business Services, HCLTech. 'HCLTech Fenix and AI Force offer a clear path to navigate complexities, blending strategy, technology and agility to turn disruption into innovation and deliver impactful results.' To explore the complete insights and recommendations, download the report:
Forbes
29-05-2025
- Business
- Forbes
GenAI In The Supply Chain: Predicting Disruption As A Competitive Edge
Sadagopan S, Executive Vice President, Global Head of SaaS & Commercial Applications, Digital Business Services at HCLTech. getty What makes extraterrestrials invincible in the movie Edge of Tomorrow or so superior in Arrival? It is because they could foresee the future. Today, we may not have the technology to know the future, but we have the tools and means to guess it with a high degree of precision. Artificial intelligence (AI)—particularly, generative AI (GenAI)—is the key. It gives us the ability to analyze both structured and unstructured data in real time and predict probable future scenarios. And, needless to say, one practice that needs it the most is supply chain management. We know how supply chains are and have always been. Any disturbance in the fabric of space-time seems to have a direct impact on the supply chain. No wonder supply chain managers have been active in the adoption of technologies that can help them foresee risks. The same is the case with GenAI. A study found that 72% of supply chain executives have deployed GenAI, with most of them already registering modest productivity and revenue gains. GenAI harnesses the latent potential of traditional AI. Let's look at how it does so and whether its applicability in supply chain management is hyped or real. GenAI is particularly helpful in predicting potential supply chain disruptions. Traditionally, organizations have relied on historical sales data, market trends and subjective human intuition to forecast risk scenarios in supply chains. However, compared to traditional methods, GenAI is more effective in accounting for complex factors—economic fluctuations, shifts in consumer behavior, geopolitical tensions, weather conditions, social media trends, etc.—in real time. As a result, it is more accurate in its predictions. This predictive capability of GenAI enables us to anticipate challenges with higher precision, chart models of risk scenarios more comprehensively and develop contingency plans that reduce the impact of disruptions. We can make proactive adjustments to our procurement and inventory management strategies to mitigate expected disruptions. Supply chains typically involve far too many touchpoints and interdependencies to allow confident decision-making. As mentioned above, there are myriad factors—international transportation bottlenecks, natural disasters and supplier insolvency, among others—that need to be considered simultaneously in real time to decide what's best for the business. To be able to revise decisions and adapt to the circumstances, deep visibility and insights into all the factors is imperative. However, traditional methodologies for imbuing agility in decision-making entail considerable human subjectivity, which lowers the probability of achieving the desired outcomes. GenAI can simulate all probable risk scenarios and recommend different courses of action to avoid or mitigate each of them. This data-driven approach to decision-making gives us the necessary foresight for short-term, medium-term and long-term strategies, minimizing the vulnerabilities in the supply chain. The impact of GenAI on supply chains is not a theoretical concept or in the beta phase. There are many organizations across industries that are leveraging the technology to overcome supply chain roadblocks and achieve higher consistency and certainty. For instance, a major logistics company in the U.S. has been leveraging GenAI to optimize in-warehouse pick-up routes. Its GenAI platform accounts for fuel consumption, delivery priorities, weather variations and other factors to recommend the best route. The space and material handling optimization thus achieved has improved the company's productivity and reduced its operational expenditure. Besides, the GenAI solution also analyzes the company's trade network and recommends improvements accordingly. Similarly, a utility company is using GenAI for sewer pipe inspection and prioritization of maintenance tasks. The solution analyzes videos of the insides of the pipes to detect cracks, deformities, root intrusions and debris deposits, as well as structural defects and joint misalignments. The GenAI-enabled software also classifies defects in terms of severity. And whenever operators override the GenAI's classification, the solution learns from the interaction and updates its priority index to generate more accurate results. Also, a globally renowned pizza brand has incorporated GenAI into its analytics tool for more accurate demand forecasts. As a result, the company has improved its product availability and delivery timeliness, thereby enhancing customer experience. Deploying GenAI to achieve superior supply chain resilience is no mean feat. Irrespective of the industry, there are certain imperatives that you must fulfill to leverage the technology to its potential. The use of GenAI is poised to expand throughout the supply chain landscape amid an increasingly complex and tumultuous global business environment. Considering how actively supply chain managers are adopting the technology and improving use cases, they will achieve hyper-efficiency, resiliency and sustainability in the ecosystem soon. Similarly, those who are trailing in the GenAI adoption race or have not considered it yet may soon find themselves lagging too far behind to catch up. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?
