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InsurTalks Podcast with Deepak Singhvi: Covid-19 & the Disruption in Supply Chain Management

7 minutes, 14 seconds read

The outbreak of pandemic Covid-19 has disrupted global supply chains and international trade. Social Distancing norms and restrictions on cross-border travel have made supply chain management extremely difficult. This has set off a chain reaction where many small and medium industries have been hit. 

To discuss the impact of COVID-19 pandemic on the supply chain and how technology can help create better supply chain flow during and post-pandemic, we interviewed Mr. Deepak Singhvi from SAP.

Mr. Deepak Singhvi is a Software Architect for SAP Ariba; where he steers designs and solutions for B2B E-procurement marketplace. Deepak has more than 15 years of experience in Big Data, Analytics, and platform development for various industries like e-commerce, banking, and semiconductor. 

Connect with Mr. Deepak Singhvi – LinkedIn

Excerpt from the interview-

SCM Challenges

What are some of the challenges organizations are facing due to disruption in global supply chains?

Mr. Deepak: We can gauge from the current situation how this pandemic is different from the outbreak of SARS in 2002. That time, China was contributing around 4% of the world’s total GDP and now China contributes somewhere between 18%- 20%. China is like the world’s factory which is present in every aspect of the business and production process. China is manufacturing for the world. 

In the post-pandemic world, we will have to adapt to the volatile environment. Especially, the continuous change in consumer behavior is creating a Bullwhip effect which is troubling the manufacturers. This effect makes it difficult for them to estimate inventories, plan production, set logistics in place, etc. The impact is going to be huge mainly because of China’s major contribution towards world GDP.

Is money also a challenge for the organizations in the supply chain?

Mr. Deepak: Money is an issue, maybe not for big companies. However, for SMEs and startups, who are also contributing to the supply chain, cash liquidity has been a concern. They need to maintain cash liquidity by reducing their operating costs and plan for short-term needs. 

Many governments have introduced provisions for SMEs and start-ups like the Government of India through Small Industries Development Bank of India (SIDBI), France has announced a 4 billion euros package, Germany has introduced a 2 billion euros package and so on. 

Small scale industries need working capital/short-term capital/short-term cash liquidity. Manufacturing units will have to ensure that they have enough supplies because they are somehow surviving this quarter. But, in the next quarter, they’ll have difficulty putting together everything in place. 

Role of Technology in Supply Chain Management 

As per a March survey conducted by the ‘Institute For Supply Chain Management’, nearly 75 percent of companies reported supply chain disruptions due to coronavirus-related transportation restrictions — how is technology going to address these concerns moving forward?

Mr. Deepak: Technology will play a very important role in Supply Chain Management. We need to understand the kinds of problems that are there and how technology can solve it. There are three dimensions to it. 

First is Cost. The USA and many other countries moved their manufacturing units to China three decades ago. That time, Supply Chain was mostly about Cost —  how to reduce cost and improve operational efficiency.

Second is Risk. In the past 5-10 years, another factor has come into place — Risk. Government tariffs and restrictions had a huge impact on the supply chain. It is difficult to import goods from China as there was a lot of opposition to it. 

Third is Resilience. The outbreak of pandemic COVID-19 tested the resilience of organizations to the disruption. 

It if was only about cost, a single human could have managed the cost by taking the assistance of tools and technology. But with increasing dimensions, humans alone cannot manage it. Therefore, technology is helping humans in holistic and better decision making. The supply chain dimensions will keep on increasing and will get more complex. Hence, technology will be important to adapt to the dynamic environment. 

AR and VR in Supply Chain

Do you see technologies like AR & VR playing a greater role in the procurement process?

Mr. Deepak: Technologies such as Augmented Reality and Virtual Reality will help enhance the User Experience. Social Distancing will be in practice for a long time. People might not get the same in-person experience as before. Therefore, AR and VR can help provide a similar experience to their customers. Moreover, these technologies will help significantly in the Customer Support function. VR can help in employee training and real-time assistance in manufacturing plants or offices. There will be a wider application of these technologies in various business units across different industries.

[Also read – 25 Disruptive AR Use Cases]

AI and Automation in Supply Chain Management

How does AI-based technologies like Machine Learning, Automation play a role in supply chain management? Is the investment in AI still relevant for enterprises during this Pandemic crisis?

Mr. Deepak: Artificial Intelligence will be needed more than ever. As the dimensions — apart from Cost, risk and Resilience will increase, it will create a need for an Intelligence System which can use rule-based computing. The system should be able to handle the effects of the bullwhip and enable automatic stock verification. AI will have a bigger role in developing Supply Chain solutions in the New Normal to automate manual operations and increase operational efficiency for Business Continuity

What are the main pain points in supply chain management which AI technologies or automation can address?

Mr. Deepak: Today, most of the systems and processes are in place. Suppliers and Buyers can collaborate on a system. Even SAP Ariba has a Supplier Collaboration platform. Everything works seamlessly under normal circumstances and there are intelligent solutions that make the Supply Chain a bit more flexible. 

Technology can automate manual collaborations. Normal rule-based decision making works most of the time but now we need more complex decision making. Systems need to consider external factors of COVID-19 such as disruption in any specific country or manufacturing plants. These factors can act as inputs to enable better decision-making.

Supply Chain in the New Normal

What lessons can you share for buyers and suppliers operating in the New Normal?

Mr. Deepak: One of the important lessons we learn here is to keep innovating. We need to introduce technologies like AI, AR, VR, RPA, etc. to automate manual processes wherever possible. 

Employees need to be trained in new technologies. Stakeholders need to get ready for the change. Those collaborating on systems should make their systems more agile. Also, businesses need to plan their cash flows to survive in the long term. 

The Future of Personalization

The growth of ‘web content management systems’ is driven by the demand of organizations to deliver personalized content and increase the interactions with customers present online — what does the future of personalization look like?

Mr. Deepak: We have been seeing personalized content for the past couple of years now. There are two aspects to this.

First, in the current situation, we need some kind of personalization. Companies that are ready to deliver personalized content will make a mark for themselves. Whereas, those who were not ready for it will be left behind. 

Second, in the post-pandemic world, many new people will be using digital platforms for the first time. They need better experiences that go beyond the traditional way of buying and selling. The companies that will add personalization into their products and services will have an edge over those who don’t. 

Start-ups in the Post-Pandemic World

It will be a survival issue for the start-ups for the next 1-2 years. Which sectors should start-ups focus their technological innovations which could add value not just to them but society at large?

Mr. Deepak: Many start-ups have been hit due to this pandemic. But now they need to evaluate whether to continue in the existing line of business or make a shift to an area where there’s opportunity in the post-pandemic world. 

The technology-led business model will be critical. It will have a key role in defining strategies. Start-ups have opportunities in the area of security and performance engineering as more people are working from home creating gaps in the data security. We are learning many lessons from this pandemic. They are reinforcing and validating our current model of getting out of the global crisis. There is a scope of growth as long as we keep building innovative solutions. 

In a nutshell

In this session, Mr. Deepa Singhvi shared his insights on technology innovations needed in the time of this crisis for start-ups and how supply chains can be improved through a new set of technologies like AI, AR, VR, and automation in the post-pandemic world. 

Podcasts in this series:

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Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

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