Inventory Shrinkage Prevention

“Boss, we unloaded 87 sacks.” Reality? 100. In factories, warehouses, and logistics hubs, one of the oldest tricks in the book is simple - misreporting. For manufacturers, small discrepancies add up. Over time, theft, errors, and miscounts quietly bleed revenue. At StorePulse AI, we built an AI-powered Loading & Unloading Counter that does what humans can’t - track every single movement, in real-time, without bias, fatigue, or error. ✅ Prevents theft by ensuring what’s reported is what’s actually moved ✅ Eliminates disputes between vendors, suppliers, and logistics teams ✅ Brings transparency to every shipment, every unit, every time No more guesswork. No more blind trust. Just pure data. What’s another manufacturing problem you think AI should solve next?

𝗜𝗻𝘃𝗲𝗻𝘁𝗼𝗿𝘆 𝗰𝗼𝗻𝘁𝗿𝗼𝗹 𝗶𝘀 𝗻𝗼𝘁 𝗮𝗯𝗼𝘂𝘁 𝗰𝗼𝘂𝗻𝘁𝗶𝗻𝗴 𝘀𝘁𝗼𝗰𝗸.  𝗜𝘁’𝘀 𝗮𝗯𝗼𝘂𝘁 𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗶𝗻𝗴 𝗰𝗮𝘀𝗵 𝗳𝗹𝗼𝘄, 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿 𝘀𝗲𝗿𝘃𝗶𝗰𝗲, 𝗮𝗻𝗱 𝗰𝗵𝗮𝗼𝘀. If you're not applying structured inventory techniques, you're inviting stockouts, overstocking, or worse—cash trapped in the wrong places. Here are 6 high-impact inventory control techniques used by top-performing supply chains: (1). ABC Analysis Categorizes items by value contribution: • A = High-value, tight control • B = Moderate-value, periodic review • C = Low-value, simple checks Focus where it financially matters most. (2). XYZ Classification Uses Coefficient of Variation (CV) to classify demand variability: • X = Stable • Y = Moderate • Z = Erratic Drives how much buffer or planning flexibility you need. (3). EOQ (Economic Order Quantity) Finds the optimal order size that minimizes total holding + ordering cost. Formula: EOQ = √(2DS/H) (4). ROP (Reorder Point) Calculates when to place the next order so you never run dry. Formula: ROP = Daily Demand × Lead Time (5). Safety Stock Holds extra inventory to cover demand or supply shocks. Formula: SS = Z × σ × √LT Z = service level, σ = demand variability (6). VED Classification Ranks inventory by criticality: • Vital – no stockout allowed • Essential – important, but manageable • Desirable – lowest priority Crucial in healthcare, aerospace, and military supply chains. 🧠 I use this exact framework when training supply chain teams or auditing stock strategies. Which technique do you use most? #InventoryManagement #SupplyChain #DemandPlanning

After years of leading security through scaling challenges, I'm sharing the mental models that have worked really well for me! If you're a security leader, you've probably hit this wall: your team can't keep up with security review requests, compliance work is consuming everything, and the traditional playbook to hire more people isn't solving the problem. I've lived this at NASA, at startups that went through acquisitions, and now at GitLab helping secure one of the world's largest DevSecOps platforms. What I I have learned in all these years is that there's no one-size-fits-all security strategy. What works for a cloud-native startup fails spectacularly at an enterprise with decades of legacy systems. So I built something different => the Software Factory Security Framework (SF²) which is a strategic positioning model that helps security leaders figure out what's actually appropriate for their organization, not someone else's. The 60-second version:  - Two-axis model: assess your operational complexity + operational readiness  - Four strategic positions with different playbooks (not everyone needs "enterprise" security)  - Honest timelines (yes, some transformations really take 3-5 years)  - Works alongside frameworks you already use (NIST, OWASP, etc.)  - Focuses on sustainable scaling vs. endless manual work A few things I believe:  - Supply chain security became #1 priority when adversaries evolved to automated discovery at scale  - Context matters more than "best practices"  - Realistic timelines beat wishful thinking every time  - Security scales through strategic investment, not just headcount Why I'm sharing this openly: This is my personal work (not an official GitLab framework), but these mental models do inform how I approach security strategy at GitLab. I'm making it fully open source (CC BY 4.0) because I believe our industry gets stronger when we share strategic thinking, not just tactical checklists.  What I need from you:  - Read it and tell me what I got wrong  - Contribute real-world examples  - Share it with security leaders who might find it useful  - Challenge the frameworks where your experience differs This isn't finished, it's a living framework that gets better with community input. If you've scaled security at organizations from 10 to 10,000 engineers, you have perspective that can make this better. Check it out: 📖 Website: https://sf2framework.com 💻 GitLab Repo: https://lnkd.in/e56ijVTy Whether you agree or disagree with the approach, I'd love to hear from you. Security leadership is hard enough; we should help each other navigate it honestly.

How to Reduce Stock Loss in a FMCG warehouse. 1. Warehouse layout & storage optimization ~ Design zones by function—receiving, high-turn pick, slow-moving, packing, dispatch—to reduce movement and errors ~ Use ABC analysis (focuses on the top 20% worth 80% of revenue) to place A-items near packing and shipping. ~ Embrace vertical storage and double-deep racking for better density while keeping high-turn products accessible. 2. FIFO & cycle counting Apply FIFO to avoid spoilage and FIFO/LIFO for non-perishables Implement frequent cycle counts based on ABC prioritization to catch discrepancies early and avoid disruption. 3. Tech integration: WMS, barcodes, RFID Use barcode/RFID systems and a WMS to track stock in real time from inbound through to dispatch Automate reordering based on real-time stock data to maintain correct inventory levels. 4. Receiving & put‑away control Double-check incoming items against POs, scan them on arrival, inspect for damage, then assign proper locations immediately Separate staging area to avoid mix‑ups and bottlenecks 5. Staff training & accountability Train staff on SOPs, handling secure scanning, stock rotation, FIFO, and equipment safety Foster accountability via cycle-counting ownership and KPI tracking. 6. Security & shrinkage prevention Use CCTV on docks/storage, restricted access for high-value zones, and random audits to deter loss Investigate and resolve root causes of any variances—mistakes, theft, or system errors 7. Forecasting & supplier collaboration Apply demand forecasting and safety stock buffers to avoid both overstock and stock outs. Consider vendor-managed inventory (VMI) or CPFR to smooth replenishment cycles and reduce buffer needs. 8. Continuous improvement Use data from your WMS to monitor inventory accuracy, pick rates, and variance trends. Update layout, SOPs, KPIs and tech based on these insights. Empower staff feedback and regular reviews to drive incremental gains. ✅ In summary By combining smart design, disciplined inventory practices, tech-enabled accuracy, trained staff, and data-driven reviews, you can drastically reduce variance in FMCG stock levels—supporting better margins, service, and compliance. Let me know if you'd like sample SOPs, WMS options, or help adapting this roadmap to your facility!

Third-Party Risk: The Hidden Cybersecurity Battlefield in Modern Supply Chains In our interconnected digital ecosystem, your security posture is only as strong as your weakest vendor. Modern enterprises rely on 100s of third-party vendors, creating an exponentially expanding attack surface. Supply chain attacks have become the preferred vector for sophisticated threat actors. Instead of targeting well-defended enterprises directly, attackers exploit vulnerabilities in trusted vendors to simultaneously breach hundreds of downstream organizations. Game-Changing Examples SolarWinds (2020): Compromised software updates affected 18,000+ customers including Fortune 500 companies and government agencies, demonstrating how a single vendor breach cascades across entire sectors. MOVEit (2023): A single vulnerability led to data breaches affecting over 600 organizations globally, showcasing the massive scale of modern supply chain impacts. Why Third-Party Risk Monitoring is Critical Continuous Visibility: Traditional annual assessments are insufficient. Organizations need real-time monitoring of vendor security posture, breach notifications, and compliance status changes. Risk Amplification: When attackers target managed service providers or software vendors, the impact multiplies across all their clients. One compromised vendor can expose thousands of organizations simultaneously. Regulatory Liability: With GDPR, CCPA, and emerging supply chain regulations, organizations face increasing liability for third-party security failures. Proactive monitoring demonstrates due diligence. Building Effective Defense Continuous Assessment: Implement real-time vendor risk scoring across your entire ecosystem Zero Trust Extension: Apply least-privilege access controls to all third-party connections Incident Response Integration: Ensure your IR plans account for vendor breaches with clear communication protocols Contractual Protection: Update vendor agreements with security requirements and liability provisions The Bottom Line Organizations can no longer treat vendor risk as procurement afterthought. The question isn't whether your supply chain will be targeted — it's whether you'll detect and respond effectively when it happens. The strongest security programs extend beyond organizational boundaries to create defensible ecosystems, not just defensible enterprises. #ThirdPartyRisk #TRPM #SupplyChainAttack #CyberSecurity

The recent inadvertent exposure of classified U.S. military plans by top defense and intelligence leaders serves as a stark reminder that even the most capable cybersecurity tools and well-defined policies can be rendered meaningless if ignored or misused. In this case, senior leaders relied on the Signal messaging app to communicate sensitive data but unintentionally exposed critical information to unauthorized parties. The leaked details—time-sensitive plans for a military operation—could have not only placed personnel in greater danger but also undermined the mission by alerting adversaries to an imminent attack. While #Signal is a widely respected, consumer-grade, end-to-end encrypted communication tool, it does not provide the same level of security as classified government systems. National security organizations typically utilize Sensitive Compartmented Information Facilities (SCIFs) to safeguard classified data from leaks and eavesdropping. However, SCIFs and other highly-secure methods are not as convenient as less secure alternatives—such as personal smartphones. In this instance, Signal's encryption was not the issue; rather, the exposure occurred when an unauthorized individual was mistakenly added to the chat. This human error resulted in sensitive information being disclosed to a reporter. Lessons Learned: This incident highlights critical cybersecurity challenges that extend beyond the military and apply to organizations everywhere: 1.     Human behavior can undermine even the most robust security technologies. 2.     Convenience often conflicts with secure communication practices. 3.     Untrained personnel—or those who disregard security protocols—pose a persistent risk. 4.     Even with clear policies and secure tools, some individuals will attempt to bypass compliance. 5.     When senior leaders ignore security policies, they set a dangerous precedent for the entire organization. Best Practices for Organizations: To mitigate these risks, organizations should adopt the following best practices: 1.     Educate leaders on security risks, policies, and consequences, empowering them to lead by example. 2.     Ensure policies align with the organization’s evolving risk tolerance. 3.     Reduce compliance friction by making secure behaviors as convenient as possible. 4.     Recognize that even the strongest tools can be compromised by user mistakes. 5.     Anticipate that adversaries will exploit behavioral, process, and technical vulnerabilities—never underestimate their persistence to exploit an opportunity. #Cybersecurity is only as strong as the people who enforce and follow it. Ignoring best practices or prioritizing convenience over security will inevitably lead to information exposures. Organizations must instill a culture of cybersecurity vigilance, starting at the top, to ensure sensitive information remains protected. #Datasecurity #SCIF #infosec

Yesterday my daughter made an observation that’s relevant to all mid-market CISOs. While speaking to her on voice call, my father-in-law struggled to switch the WhatsApp call to video to show their dog’s antics. He asked my mother-in-law to help. While on the call, my mother-in-law needed to transfer money via UPI to someone. So they had to cut the call - because my father-in-law needed to step in! My daughter came to me with this question: Two people. Same house. Same everyday things. Yet their skill levels are so different. Now, imagine this inside a company with hundreds or thousands of employees. - Some struggle to identify phishing emails - Some don’t understand the risk of weak passwords - Some click on malicious links without a second thought - Some approve payment requests based on text messages - Some download & install unauthorized software - Some share sensitive information over email without realizing - Some upload company secrets into ChatGPT for projects Yet, many CISOs run just 𝙤𝙣𝙚 𝙤𝙧 𝙩𝙬𝙤 cyber awareness simulations per year & think it’s enough. It’s not. Cyber awareness needs to be continuous, personalized & measurable. A strong cyber awareness program should: 𝟭) 𝗧𝗲𝘀𝘁 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗲𝘀 𝘄𝗶𝘁𝗵 𝗿𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗮𝘁𝘁𝗮𝗰𝗸 𝘀𝗰𝗲𝗻𝗮𝗿𝗶𝗼𝘀 Phishing, smishing, vishing, and deepfake attacks that mimic what attackers actually do. 𝟮) 𝗔𝗱𝗮𝗽𝘁 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗯𝗮𝘀𝗲𝗱 𝗼𝗻 𝗶𝗻𝗱𝗶𝘃𝗶𝗱𝘂𝗮𝗹 𝘀𝗸𝗶𝗹𝗹 𝗹𝗲𝘃𝗲𝗹𝘀 A finance executive needs different training than a new intern. 𝟯) 𝗢𝗳𝗳𝗲𝗿 𝗲𝗻𝗴𝗮𝗴𝗶𝗻𝗴, 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝘃𝗲 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 Gamification, role-based training, and bite-sized learning improve retention. 𝟰) 𝗧𝗿𝗮𝗰𝗸 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀 & 𝗿𝗶𝘀𝗸𝘆 𝗯𝗲𝗵𝗮𝘃𝗶𝗼𝗿 Identify employees who need extra training instead of treating everyone the same. 𝟱) 𝗥𝘂𝗻 𝗰𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀, 𝗻𝗼𝘁 𝗼𝗻𝗲-𝘁𝗶𝗺𝗲 𝗲𝘃𝗲𝗻𝘁𝘀 Cyber threats evolve daily; training should too. 𝟲) 𝗚𝗶𝘃𝗲 𝘁𝗵𝗲 𝗰𝘆𝗯𝗲𝗿 𝗮𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀 𝗽𝗼𝘀𝘁𝘂𝗿𝗲 𝗮𝘁 𝘁𝗵𝗲 𝗰𝗹𝗶𝗰𝗸 𝗼𝗳 𝗮 𝗯𝘂𝘁𝘁𝗼𝗻 Department-wise reports of people & the potential learning gaps Awareness is not running a simulation & calling it a day. It's the actions & the next steps: - for improvement - knowing the awareness posture of everyone - for building a culture where employees become security assets If you’re a CISO evaluating solutions that train employees further based on their actual responses, DM me. My team works with a platform designed to make cyber awareness practical, engaging & effective. -- Hi, I’m Rajeev Mamidanna. I help mid-market CISOs strengthen their Cyber Immunity.

Water utility companies around the world lose a combined $14 billion every year to water losses in their networks, according to Water Online (🔗 https://bit.ly/4lgNxoN). This non-revenue water wastes resources, increases energy consumption, and disrupts habitats. It also leads to service disruptions and affordability issues and can compromise public health and hygiene by limiting access to safe drinking water and sanitation services. PUB, Singapore’s national water agency, has developed an anomaly leak finder solution to reduce its NRW. It leverages adaptive AI and machine learning to create a high-fidelity digital twin of the water network. Engineers can model and predict flows and pressures, track the health status of different zones, continuously recalibrate and retrain the digital twin, and detect and localise anomaly events, including watermain breaks and hidden leaks. In benchmarking tests, PUB’s field team only needed to search through one kilometre or less of pipelines per detected event, validating the program’s detection and location accuracy and reducing manual inspection time and costs. Leaks and anomalies are detected quickly, field teams get to the problem sooner, and operational data continually improves the digital twin. By monitoring the water network using a live digital twin, Singapore’s water network is more efficient, resilient, and sustainable. Just imagine the impact of an extra $14 billion investment in the world’s water infrastructure every year…💧 Alvin Chew (周威泽), Ph.D. Juen Ming Wong Zheng Yi Wu Kaushik Chakraborty Gregg Herrin, PE #infrastructure ##singapore #innovation #bentleysystems 💧🐟🦆🐳🚿🛁🚰⛲️🪸🦭🏊🦑💧

In the U.S. alone, cybercrime caused $16 billion in damages in 2024 - a 33% increase from the year before. And most of these breaches weren’t due to complex hacks or advanced malware. They happened because of simple human errors: misconfigured systems, unsecured devices, careless behavior, or being tricked by a convincing phishing email. That’s why the human factor is often the weakest link in cybersecurity, but also where the biggest gains can be made. So how do we build a human-centered security culture? It’s about shaping behavior and habits. A proven approach is Neidert’s Core Motives Model, which helps leaders guide employees toward secure behavior through three stages: 🔹 Connect – Build trust and rapport. People follow leaders they like and feel connected to. Gamified training sessions, team bonding, and small acts of reciprocity go a long way. 🔹 Reduce Uncertainty – Show credibility and social proof. When senior leaders take part in security efforts, or when teams see peers taking security seriously, they’re more likely to follow suit. 🔹 Inspire Action – Reinforce commitments. Use nudges, timely reminders, and even friendly competitions to encourage continuous attention to cybersecurity practices. A collective mindset where everyone feels responsible for protecting company assets, and each other. Security doesn’t live in IT alone. It lives in everyone’s daily choices.