Online Inventory Management Systems

Because inventory causes exponential pain with multiple warehouses... This infographics shows how to manage inventory in this context: ➡️ Centralize Inventory Visibility ↳ Issue: not knowing inventory levels across locations can lead to overstock in one warehouse and stockouts in another ↳ Action: Implement an inventory management system/ ERP that shows real-time inventory positions for all warehouses in one snapshot ➡️ Classify Products and Prioritize ↳ Why: Not all SKUs deserve the same treatment; some are high-value, others are seasonal ↳ Action: Use ABC analysis to rank products by focusing on A-items for tighter control ➡️ Define Replenishment Rules by Warehouse ↳ Why: Different warehouses cater to different regions or demand patterns. One-size-fits-all reorder points (ROP) won’t cut it ↳ Action: Tailor ROP, safety stock, and min-max levels by location. Consider lead times from central distribution centers or suppliers for each site ➡️ Breakdown Forecast by Warehouse ↳ Why: Each warehouse faces unique market dynamics ↳ Action: Generate warehouse-level forecasts, combining local sales trends with broader S&OP inputs ➡️ Plan Transfers Strategically ↳ Why: Sometimes it’s of lower cost or faster to transfer stock than reordering from suppliers ↳ Action: Set up a transfer framework; regularly review surplus vs. deficit at each location. Automate triggers for transfer orders when it’s cost-effective. ➡️ Monitor KPIs Proactively ↳ Why: Multi-warehouse complexity can hide inefficiencies when not tracking the right metrics ↳ Action: Track fill rate, inventory turnover, stock aging, and transfer costs at each site. ➡️ Plan Direct Dispatches & Save Costs ↳ Why: Dispatch directly from the plant to save logistics costs ↳ Action: Prepare daily dispatch plans targeting direct replenishment from the plant and use these warehouses for milk runs for distributors Any others to add?

📦 Understanding Re-Order Point (ROP) and Replenishment in Warehouse Management 📦 In supply chain and warehouse management, knowing when to reorder stock is crucial for maintaining the right balance between inventory availability and cost efficiency. One of the key concepts in inventory management is the Re-Order Point (ROP). But how do you calculate it accurately? And what are the most effective replenishment strategies? 🔹 What is the Re-Order Point (ROP)? ROP is the threshold at which stock must be replenished to prevent shortages before the next delivery arrives. In other words, it is the minimum inventory level at which a new purchase order should be placed. 🔢 Basic ROP Formula: Without Safety Stock: 📌 ROP = Lead Time (Days) × Average Daily Consumption With Safety Stock: 📌 ROP = (Lead Time × Average Daily Consumption) + Safety Stock 🛠 Example Case: A warehouse has a daily material consumption of 10 units, with a procurement lead time of 7 days. 📌 ROP = 7 × 10 = 70 So, when the stock reaches 70 units, the company should immediately reorder to avoid running out of stock while waiting for the next delivery. 🔹 Effective Replenishment Strategies Determining the ROP alone is not enough. Businesses must also adopt the right replenishment strategy to ensure a steady inventory flow without excessive overstocking. Here are three common strategies: 1️⃣ Just-In-Time (JIT) This approach ensures that stock is ordered only when it is needed. It is suitable for businesses with stable demand and reliable suppliers who can deliver quickly. ✅ Pros: Reduces storage costs and minimizes inventory obsolescence. ❌ Challenges: Highly dependent on a smooth supply chain—any disruption can cause stockouts. 2️⃣ Fixed Order Quantity With this method, orders are placed in fixed quantities whenever the stock reaches the ROP. The order quantity is often based on Minimum Order Quantity (MOQ) or Economic Order Quantity (EOQ). ✅ Pros: Helps maintain consistent stock levels. ❌ Challenges: Can lead to overstocking if demand drops unexpectedly. 3️⃣ Periodic Review System Stock levels are reviewed at fixed intervals (e.g., monthly), and orders are placed accordingly. ✅ Pros: Suitable for items with fluctuating demand. ❌ Challenges: If the review period is too long, stockouts may occur before the next replenishment cycle. 🎯 Conclusion Determining the optimal Re-Order Point (ROP) is essential to ensure stock availability without excessive inventory costs. By understanding consumption patterns, lead time, and choosing the right replenishment strategy, warehouse operations can run efficiently and seamlessly, avoiding both stockouts and overstock situations. 🔥 What ROP and replenishment strategy do you use in your warehouse? Let’s discuss in the comments! #Inventory #Warehouse #Supplychain #SCM #Logistic #Rop #Replenishment

Is your business operating with habits that support a pull system, or are you still relying on push-based processes? 🤔 What's a "Pull System"? 👉 Well...a real pull system company is responsive, efficient, and aligned with actual customer demand. It operates with minimal excess inventory, clear visual management tools that show current priorities, and teams that only “pull” work when they’re ready to handle it. 👉 There’s little wasted effort, and the whole organization is structured to flexibly adapt to changes, keeping work balanced and productivity high. ⚠️ Many companies think and say they have pull systems, but they’re actually over-scheduling work, producing based on forecasts rather than demand, and pushing tasks onto teams without considering capacity—leading to bottlenecks, wasted effort, and a disconnect between what’s produced and what’s truly needed. This isn’t Lean—instead, it’s stressful and inefficient. In Lean management, we take a different approach...we build habits that align work closely with demand, keeping everything as lean and focused as possible. Here’s some examples of how Lean companies do it daily, weekly, and monthly: DAILY: 🎯 Visual Management Board Updates 🎯 Team huddles 🎯 Continuous flow adjustments 🎯 Quick feedback loops WEEKLY: 🎯 Trend Analysis and Adaptation 🎯 Bottleneck Review 🎯 Team Performance Reflection 🎯 Individual Check-Ins MONTHLY: 🎯 Goal Reviews 🎯 Role and Task Reviews 🎯 Customer feedback review 🎯 Supplier and Inventory Planning AND 👉 To pull it all together, mindset, habits and behaviours matter greatly. 👉 Teams will need to communicate frequently across functions, aligning demand priorities so that no department is pushing excess work downstream. The habits and behaviours may look a little different across companies and sectors...and that's ok...as long as they are clear to all and consistent. What daily, weekly and monthly habits help you to create pull systems in your business? Leave your comments below 🙏 #lean #leanmangement #pullsystems #leadership #efficiency #continuousimprovement

Your inventory can drain your working capital if it’s not managed properly 🎯 I have met many founders who complain about their cash flow problem. Despite their business are actually growing, their cash flow is lacking behind 📉. When I made deeper conversation, I found out their inventory level are high. Many of them don’t realize they actually hold high level of stock. In Stanford Seed Transformation Program, we introduce the use of Days of Inventory (DIO) as one of the tools to our cohort participant so they can measure how efficient they managed their inventory as working capital. Essentially the DIO helps to assess inventory management efficiency by showing how quickly inventory is converted to sales, which can reveal issues like overstocking, slow sales, or potential out of stock. If you manage it properly, it could help you better manage your cash flow, reduce holding costs, and make better decisions about inventory levels 💸. Here’s several practical tips that can help you optimize your inventory level: 1️⃣ Use relevant software: Implement software to track your inventory real-time, which can automate updates and provide better visibility. 2️⃣ Leverage data to make forecast: Analyze your historical data and market trends to estimate future demand of your products. It would help to prevent out of stock or excess inventory. 3️⃣ Perform regular audits: Perform regular stock counts to ensure your records match physical inventory and to identify discrepancies or slow-moving items. 4️⃣ Perform ABC analysis: Categorize items based on their value and sales frequency to focus your management efforts on the most important products. 5️⃣ Centralize control: If you have multiple locations then you better centralize your inventory control to improve overall visibility and management. 🤔 As SME owner, what’s your biggest inventory headache right now? Is it overstock, out of stock, or slow movers? Feel free to share in the comments or DM me directly. 🙏 If you're looking to scale up your SME or early-stage business and strengthen your financial foundation, let’s connect. Together, we can explore impactful strategies for success. #ScalingUp #BusinessTransformation #Financialmanagement #FractionalCFO

I find if your product taxonomy is a mess, your SEO (and conversions) pay the price: 91% of ecommerce sites get it wrong, confusing shoppers rather than helping them. You might think your product catalogue looks clean. But you could be losing 1000's of customers and $$$. 2 ways to look at this: 1. common errors with your eCommerce taxonomy: - Users click “women > tops > t‑shirts” see sandals - Filters break mid-journey causing confusion - Internal reports can’t map categories to ad data - SEO signals get diluted by category labels We need to speak shopper language. (not internal jargon) I help rebuild Shopify stores. 2. best ecommerce taxonomy practices: - shoppers find what they want in a few clicks - collection pages pull in better organic traffic - internal performance reports match ad datasets - we spot drops in category performance early This isn’t sexy work. But it’s the foundation of smooth UX, stronger SEO, and higher conversions. Traffic will stick. Have you audited your e-commerce taxonomy? P.S Product taxonomy example is from ecommerce brand SET Active

I got early access to Claude for Excel today, and wanted to share what I found. I took a raw CSV file (the kind you'd export from an ERP system) and turned it into a complete inventory analysis dashboard - just by talking to it.  In about 11 minutes:  • Cleaned and formatted the raw data  • Built calculated columns for stock health metrics  • Created a dashboard with KPIs  • Flagged items needing immediate attention  • Added formula documentation so it's reusable  No macros. No pivot tables. Just natural language prompts.  The video shows the whole process uncut - including where Claude catches its own mistakes and self-corrects (which I found pretty interesting).  If you work with Excel data regularly, worth a look.  Full demo video here 👇 (hope it renders ok - I've not posted a LinkedIn video like this before!)  #Excel #AI #DataAnalysis #claude

What if you could track every item in your inventory—without lifting a finger? AI-powered machine vision is transforming inventory management. No more manual errors, no more stock surprises. Just real-time visibility, smart forecasting, and seamless logistics integration. 🔍 Here’s how machine vision is redefining warehouse and supply chain efficiency: Smarter Decision-Making – AI provides accurate data that supports better planning and forecasting. Instant Visibility – Continuous monitoring detects stock shortages immediately. Operational Efficiency – Automated checks reduce repetitive tasks and boost productivity. Accurate Stock Data – AI eliminates manual mismatches and keeps records precise. Seamless Integration – Machine vision tools connect with ERP and logistics systems to streamline operations. From personal experience working with businesses that deal with complex inventory systems, I’ve seen how even small AI implementations can deliver measurable improvements in accuracy and time savings. Don't miss upcoming insights on Digital Transformation 🔔 Activate the bell to stay up to date! And if you want to delve deeper, take a look at the DeltalogiX blog > https://bit.ly/4hDs9HU #MachineVision #InventoryManagement #AIinBusiness

 𝐒𝐜𝐞𝐧𝐚𝐫𝐢𝐨 : 𝐒𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐢𝐧𝐠 𝐈𝐧𝐯𝐞𝐧𝐭𝐨𝐫𝐲 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 The Challenge: Our inventory management system was struggling to keep up with the growing volume of stock and sales data. The manual tracking process led to frequent stockouts and overstock situations, causing operational inefficiencies and affecting customer satisfaction. The Solution: We leveraged SQL to automate and optimize our inventory management process. Here’s how we did it: Steps: 1.Centralized Database Creation: Consolidated inventory data from multiple sources into a single SQL database.   Example Query to Create Inventory Table: CREATE TABLE Inventory ( ProductID INT PRIMARY KEY, ProductName VARCHAR(255), StockLevel INT, ReorderLevel INT, LastUpdated DATE );   2.Automated Stock Monitoring: Developed SQL queries to automatically monitor stock levels and trigger alerts for reorder points.   Example Query for Reorder Alerts: SELECT ProductID, ProductName, StockLevel FROM Inventory WHERE StockLevel <= ReorderLevel;   3.Dynamic Reporting: Created dynamic reports to track inventory levels, reorder statuses, and historical stock trends.   Example Query for Inventory Report: SELECT ProductID, ProductName, StockLevel, LastUpdated FROM Inventory ORDER BY LastUpdated DESC;   Impact: Operational Efficiency: Reduced manual tracking efforts, saving time and minimizing errors. Optimized Stock Levels: Improved inventory turnover by maintaining optimal stock levels. Enhanced Customer Satisfaction: Reduced stockouts and overstock situations, ensuring product availability.   Visuals: Include screenshots of the SQL queries, inventory reports, and a before-and-after comparison of stock levels. How do you manage inventory in your organization? Share your strategies and experiences in the comments!  follow more for Priyanka SG #SQL #InventoryManagement #DataOptimization #OperationalEfficiency #BusinessIntelligence

Want peace in your next annual vendor negotiation (AVN) with #Amazon? 🕊️🤝 Then you need to stabilise your Net PPM between AVN cycles. Here's how: 𝟭- 𝗦𝘁𝗮𝗿𝘁 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴 𝗽𝗿𝗼𝗳𝗶𝘁𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝘁 𝗔𝗦𝗜𝗡-𝗹𝗲𝘃𝗲𝗹 Whether you're an SME or a big multinational. You must track your sales and profit metrics at the product level. Without having a clear understanding of how a single item may impact your account profitability, you cannot take effective action. I highly recommend using Amazon's SP-API and connecting it to your internal Power BI. If that sounds too complicated, there are numerous reporting tools available for Amazon vendors that provide the same insight without the initial setup barrier. 𝟮- 𝗥𝗲𝘃𝗶𝘀𝗲 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗺𝗼𝘁𝗶𝗼𝗻𝗮𝗹 𝗳𝘂𝗻𝗱𝗶𝗻𝗴 𝗮𝗹𝗹𝗼𝗰𝗮𝘁𝗶𝗼𝗻 Once you clearly understand your portfolio's profit performance, it's time to shift investments to margin-accretive SKUs. Amazon will often ask you to run price promotions on existing top sellers. But these may not be your profit drivers. So make sure you use ASIN-level insights to shift investments to where they will benefit your wider account margin. 𝟯- 𝗠𝗼𝗻𝗶𝘁𝗼𝗿 𝘁𝗵𝗲 𝗔𝗦𝗣 𝗳𝗹𝘂𝗰𝘁𝘂𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗽𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 Using virtual shelf monitoring software like Keepa or Profitero, Stackline, or commerceIQ can help identify ASP fluctuations on your account. This is important because it allows you to spot pricing errors, overstock markdowns, and price-matching activities early. While you won't be able to prevent the ASP changes, tracking them will help you better understand whether Amazon's requests for margin support are justified… or caused by the online retailer itself. 𝟰- 𝗧𝗿𝗮𝗱𝗲 𝗰𝗼𝘀𝘁 𝗱𝗲𝗰𝗿𝗲𝗮𝘀𝗲𝘀 𝗳𝗼𝗿 𝗰𝗼𝘀𝘁 𝗶𝗻𝗰𝗿𝗲𝗮𝘀𝗲𝘀 Vendor Managers are known to reject vendor requests for cost price increases. But when reviewing your portfolio, you'll likely see two things: 1) ASINs with an accretive Net PPM, and  2) ASINs with a dilutive Net PPM. This allows you to raise cost prices on items that have a margin surplus in exchange for a cost price decrease on dilutive items. Vendor Managers will often accept this trade, as long as the wider account margin remains unchanged. 𝟱- 𝗠𝗶𝗻𝗶𝗺𝗶𝘀𝗲 𝘁𝗵𝗲 𝘂𝘀𝗲 𝗼𝗳 𝗰𝗼𝘀𝘁 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 Amazon is quick to request cost support from suppliers. But any dollar spent outside your AVN forms the basis of the investment requirements for your future negotiation. So instead of granting cost support, focus on initiatives that drive joint cost savings: Bulk order discounts linked to a consolidated FC delivery, sell-out funding in exchange for visibility on the deals & promotions page, etc. Remember: Managing your vendor profitability with Amazon is a joint effort. If you abandon your Net PPM between AVN cycles, annual negotiations will be more difficult. --- Did I miss anything? Let me know in the comments! #amazonvendor #amazonstrategy

Shopify made it a lot easier to monitor what’s really going on with your stock right inside your admin 👉 With the new Inventory Adjustment History reports in Analytics > Reports, merchants can now: ✔ Track every stock movement Every increase or decrease in quantity is logged across all SKUs and locations ✔ Get full transparency on changes Know exactly when, why, and who made a change. Yes, even that mystery inventory dip last Thursday ✔ See what’s on the way Incoming shipment data now shows expected arrivals by location ✔ Follow your internal transfers Whether it’s between stores or from your warehouse to retail, you’ll see pending transfer orders and timing ✔ Access deeper insights Historical inventory data now goes beyond the old 180-day limit, helping you spot long-term trends, not just short-term noise These reports are available if you're using the new Shopify Analytics You’ll find them in Analytics > Reports > Inventory 💡 Why this matters: If you’ve ever had to answer: > “Why does this SKU show negative stock?” > “When is the new stock arriving at this location?” > “Where did 20 units just disappear to?” …you now have the audit trail to answer confidently, no more digging through emails or Slack