AI adoption in supply chain: where most companies stall

From the #AI desk of Pratik K Rupareliya, As technology transforms the way we work, are you prepared to adopt the upcoming wave of AI and automation?   Explore the trends that not only increase efficiency but also reshape our understanding of work. Here's how AI and automation are changing workforce dynamics: 1. **Streamlined Processes**: Companies like Amazon utilize AI for tasks ranging from inventory management to personalized customer service. Their advanced algorithms forecast demand, enabling them to optimize operations and cut costs.    **Key Point**: Adopting AI helps remove bottlenecks and boosts agility. 2. **Better Decision-Making**: IBM’s Watson analyzes large data sets using AI to generate insights that inform strategic choices. This enables organizations to respond more quickly and make more informed business decisions.    **Key Point**: Using AI for decision-making can give your business a competitive advantage. 3. **Employee Empowerment**: At Intuz, we’ve observed how automation frees employees from routine tasks, enabling them to focus on creative and strategic activities. This not only increases job satisfaction but also promotes innovation.    **Key Point**: Providing your team with the right tools allows them to make more meaningful contributions. The blending of AI and automation is about more than technology—it’s about reshaping workplace culture to foster engagement, efficiency, and innovation. As we move toward this future, consider whether your organization is ready to harness the power of AI and automation. Share your thoughts in the comments. #FutureOfWork, #AIInnovation, #WorkplaceAutomation

When AI Creates Work, Not Value AI is helping us move faster but sometimes not smarter. The recent HBR article(https://lnkd.in/gTJ8hrKv)  beautifully called it workslop, which is AI-generated output that looks polished but lacks depth or accuracy. It is quietly becoming a productivity killer. Research shows 40% of employees receive workslop each month. Each instance costs about two hours of rework and often reduces trust in the sender. The trap is that the output looks right but adds little value. Here is an example - AI draft: The client should focus on digital transformation to improve customer experience and operational efficiency. Cost optimization and engagement will also be important. Human-refined version: ·       Automating supply chain planning could reduce stock-outs by 15% and free €25M in working capital. ·       Rolling out click-and-collect in top 50 stores can lift cross-channel sales by 8–10%. ·       Next - a 90-day sprint to validate levers and align executive ownership. The difference is judgment, clarity and accountability. AI provides scaffolding. Humans build the structure. Some potential ways to address this - ·       Use AI purposefully, not by default ·       Define what good looks like in your domain of expertise ·       Pilot, review and refine before scaling ·       Keep human thinking in most relevant loops As being reiterated continuously AI is not replacing work. It is redefining what good and smart work means. How are you ensuring your teams separate signal from slop? #AI #Leadership #FutureOfWork #Consulting #Productivity

In the analytics world, the mantra "what gets measured gets improved" is more than a cliché—it's a blueprint for transformation. Recently, a European retailer adopted AI to reshape its supply chain, leading to a 15% reduction in operational costs within a year. Beyond cost savings, AI-driven insights enabled them to anticipate market shifts, ensuring stock availability when demand surged, leaving competitors flat-footed. But here's the kicker: while AI offers backbone support, it's the human strategy that drives differentiation. In our complex global landscape, nuanced decision-making and local intelligence are irreplaceable. Europe, with its multifaceted economic landscape, provides a unique proving ground for AI's potential to redefine business operations. Are we tapping into the full potential of AI, or are we barely scratching the surface? Let's share experiences, insights, and strategies on leveraging AI not just for predictive accuracy, but for unmasking hidden growth opportunities. What innovative ways are you seeing AI impact business outcomes? I'd love to hear your thoughts or stories. Join the conversation by commenting below! #AI #Analytics #SupplyChain #BusinessTransformation #EuropeMarket

A couple of months back, we were very quick to jump on the news on how AI is not delivering at the breakneck speed, it has promised to deliver. But, if we really dug deep, we would have known AI is not the problem, we are. McKinsey & Company published this report in Jan 2025 clearly stating that the business leaders need to relook at their AI strategy in order to get more out of it. But, if you read between the lines, the report indicates a couple of phenomena: 1. Employees are the rapidly adopting AI. Which means they are increasingly becoming the new decision makers. Which also means the employers have to keep up. If business leaders are delayed in planning and building their AI strategy, there is a high chance of their jobs be taken over by the employees. 2. AI as a tech was delivered to us at the speed of lightening, but we were not prepared for it. AI has been around for around five decades, but business leaders didn't see it becoming increasingly accessible. They were not prepared with their strategies to make the most out of it. Which is why, the spends in respective industries in GenAI is quite below par potential. 3. Businesses have not taken the necessary steps which could create new jobs wrt AI. One such initiative is AI governance - something that could secure and guide AI adoption without the problem of data leakage. AI is here to stay. It is up to us to leverage it for our benefit. Looks like we always left it for the future. #ArtificialIntelligence #Business #Adoption #FutureOfWork

The Future of AI in Business 🤖 📌 What the article is saying The article delves into the latest advancements in artificial intelligence (AI) and how it is reshaping the business landscape. It highlights the key role that AI is playing in driving innovation and efficiency across various industries. 🔍 What’s new vs. what’s known While AI's potential has been known for some time, the article sheds light on recent breakthroughs in AI technology that are propelling businesses to new heights. It explores how AI is becoming more sophisticated and adaptable to complex business challenges. 💡 Why this matters now The increasing adoption of AI in business signifies a pivotal moment where organizations must navigate the delicate balance between leveraging AI's capabilities and addressing ethical considerations and potential risks. It is crucial for leaders to understand the implications of AI integration and make informed decisions that align with their values and objectives. ⚖️ Implications by sector 1. Finance: AI is revolutionizing financial services by enhancing customer experiences through personalized recommendations and improving fraud detection systems. 2. Healthcare: AI is streamlining healthcare workflows, enabling better patient outcomes through predictive analytics and diagnostic tools. 3. Retail: AI is optimizing supply chain management and enhancing customer engagement through personalized shopping experiences. 🧭 How to apply it (practical steps) 1) Evaluate your current business processes to identify areas where AI could improve efficiency and productivity. 2) Invest in AI training and upskilling initiatives for your employees to maximize the benefits of AI integration. 3) Collaborate with AI experts and technology partners to develop customized AI solutions for your specific business needs. 4) Implement robust data governance practices to ensure the ethical use of AI technologies. 5) Monitor the performance metrics of AI systems regularly to identify areas for continuous improvement. 📏 Metrics to watch • Customer retention rate • AI implementation cost savings • Employee productivity gains • Accuracy of AI-driven decisions • Time-to-market for AI projects ✅ Key takeaways • Embrace AI as a strategic tool for driving innovation and competitive advantage. • Prioritize ethical considerations and transparency in AI deployment. • Invest in building a culture of data literacy and AI proficiency within your organization. • Continuously monitor and evaluate the effectiveness of AI solutions to drive continuous improvement. What are the key challenges you foresee in integrating AI into your business operations? Exploring the balance between powerful AI models and privacy concerns in Operations Research https://lnkd.in/eqtY2n3x #automation #googlecloud #aigovernance

As businesses continue to evolve, one thing has become clear: the way companies embrace technology will shape their future. Over the past few years, #AI has moved from a promising concept to a critical business asset. But adding AI to your tech stack isn’t enough anymore. To truly lead, businesses need to use AI strategically, to gain a competitive edge.    In 2025, many companies began integrating AI into their operations. But by 2026, it will be those that use AI to outthink, out-execute, and outperform the competition that truly define the future.    Data alone doesn’t win.  Insights alone don’t win.  Actionable intelligence wins. Today, most AI use cases in organizations focus on personal productivity. While AI’s potential goes far beyond that, what’s missing is its integration into core business workflows that would make it a truly critical asset. Gartner reports that CEOs now see AI as a defining factor in the competitive landscape, not just a way to cut costs. Those who ignore AI risk losing market share before they even realize it.  https://lnkd.in/ddBHAPWU   The question is no longer, “Should we adopt AI?”  It’s, “How fast can we embed AI within our organisations to turn it into an unfair advantage?”   Let me know your thoughts in comments. #ArtificialIntelligence #AIforBusiness #DigitalTransformation #BusinessStrategy #Innovation #TechLeadership #AIAdvantage #AIAdoption

📊 80%+ of supply chain leaders believe AI will transform their operations within 5 years 📅 Data Point of the Day #101 – Saturday 🧠 Takeaway: Supply chains are crossing a once-in-a-generation inflection point. The question is no longer if AI will reshape operations — it is how fast. 👶 Baby Chains: “The future is closer than it looks.” 🐶 Bronxie the Bullwhip: “Do I need a passport to cross this bridge?” 📌 Source: PwC / Gartner supply chain leader surveys 💡 Real-world example: Leading retailers and manufacturers are already deploying AI copilots to cut planning cycles, automate routine decisions, and unlock new resilience strategies. ❓ What part of your supply chain will AI transform first? #SupplyChainAI #DataStrategy #DigitalSupplyChain #BabyChains #BronxieTheBullwhip #AI

In conversations with business leaders, I often hear the same frustration: despite big investments, AI isn’t delivering the results they expected. The problem usually isn’t the technology itself—it’s how it’s implemented. Too often, AI is introduced in silos, with individual teams experimenting on their own. The result is “shadow AI,” fragmented solutions, and governance headaches. Add in the risks of hallucinations from generic AI tools, and it’s clear why many companies struggle to turn AI into real business value. The truth is that success comes from integration. When AI is embedded into existing data structures, processes, and governance models, the impact is transformational. With Mindbreeze, organizations can unify data from hundreds of sources without migration, ensure every result is transparent and verifiable, interact naturally in everyday workflows, and deliver insights directly in the context of business processes. That’s how companies move from hype to measurable outcomes: faster decision-making, reduced downtime, lower costs, and more productive employees. If your organization is looking to get more from its AI initiatives while avoiding the pitfalls of shadow AI and unreliable results, let’s connect. I’d be glad to share how Mindbreeze customers are fully unlocking the potential of their data with integrated, enterprise-ready AI. #AI #KnowledgeManagement #EnterpriseAI #DigitalTransformation

AI’s real value in managed services is about amplifying impact, not reducing labor. The opportunity lies in using AI to accelerate delivery, anticipate issues, improve responsiveness, reduce mean-time-to-serve and strengthen client trust. Predictive ticketing, automated remediation and AI-driven insights allow problems to be addressed before they escalate—freeing talent to focus on strategy, innovation and higher-value work. Firms that embed AI into their core workflows are already seeing the benefits: Proactive support, increased responsiveness + higher quality customer interaction, improved productivity, healthier margins and elevated service that feels more professional. Both clients and investors take notice when uptime improves, risk is contained and delivery scales without compromising quality. The message for leaders is simple: 1. AI is no longer optional—it’s the benchmark by which customers and stakeholders measure performance. 2. Adoption must be intentional—applied where it strengthens culture, enhances delivery and builds resilience. 3. The window is narrow—those who move now will differentiate, while those who delay risk becoming obsolete. #MSPs #AI #TechLeadership #OperationalExcellence #CustomerExperience #ValueCreation

From basic scripts to strategic partners - AI has evolved faster than most leaders realize. The global chatbot market is exploding from $4.6 billion in 2021 to $11.79 billion by 2025. But here's what the numbers don't tell you: we've moved beyond simple query responses to systems that anticipate needs, process complex tasks, and integrate seamlessly with business operations. I've watched executives struggle with this shift firsthand. The leaders who grasp this aren't just upgrading their customer service - they're reimagining entire operational workflows. These generative AI systems now handle everything from processing refunds to managing invoices autonomously, delivering 30-40% cost reductions while freeing up teams for strategic work. The question isn't whether to adopt this technology. It's whether you're positioning your operations to leverage AI as a strategic multiplier rather than just a cost-cutting tool. The leaders getting this right are the ones who will define competitive advantage in the next decade.