Carlos Villazon’s Post

Overcoming Obstacles in the Global Supply Chain US businesses became well aware of dealing with supply chain issues soon after the COVID-19 shutdowns were lifted. Disruptions exposed inaccurate inventory reporting, manual processes rigged with errors, and silo applications. Many turned to new technologies and/or upgraded their current ERP systems to improve their supply chain visibility. The solution surprisingly lies in what they already have—their data. Accurate and timely information is key to managing supply chain disruptions. Where do you begin? Here are some steps to help: - Deployment of Technology - Data in one place - Artificial Intelligence Data in one place. It sounds simple enough, and most organizations believe they already have it. However, doing analysis on data that is stored in many different systems is time-consuming and often does not give accurate results. Different systems may run at different times, store data with different requirements, and/or store incomplete information, thus producing different or inaccurate results. Companies must move to a data-driven approach that includes cross-functional systems. More data is not necessarily better; it can just be more. However, receiving more information from your suppliers, customers, and logistics can provide you with the information you need. Innovate can help. Innovate Managed Services can become an extension of your IT staff and can help you implement more electronic documents. With more information from your partners in your supply chain, you can plan and quickly adapt to the ever-changing global supply chain. Learn more at innovateec.com #fixingthesupplychain #supplychaininformation

Overcoming Obstacles in the Global Supply Chain US businesses became well aware of dealing with supply chain issues soon after the COVID-19 shutdowns were lifted. Disruptions exposed inaccurate inventory reporting, manual processes rigged with errors, and silo applications. Many turned to new technologies and/or upgraded their current ERP systems to improve their supply chain visibility. The solution surprisingly lies in what they already have—their data. Accurate and timely information is key to managing supply chain disruptions. Where do you begin? Here are some steps to help: - Deployment of Technology - Data in one place - Artificial Intelligence Data in one place. It sounds simple enough, and most organizations believe they already have it. However, doing analysis on data that is stored in many different systems is time-consuming and often does not give accurate results. Different systems may run at different times, store data with different requirements, and/or store incomplete information, thus producing different or inaccurate results. Companies must move to a data-driven approach that includes cross-functional systems. More data is not necessarily better; it can just be more. However, receiving more information from your suppliers, customers, and logistics can provide you with the information you need. Innovate can help. Innovate Managed Services can become an extension of your IT staff and can help you implement more electronic documents. With more information from your partners in your supply chain, you can plan and quickly adapt to the ever-changing global supply chain. Learn more at innovateec.com #fixingthesupplychain #supplychaininformation

Unifying Shipping Data Using Transport Load IDs: Here Are 10 Ways It Can Unlock Analytics And Empower Logistics Tech. Despite investing heaps of money in logistics technology, why do most businesses still struggle with basic shipment visibility and supply chain planning? One major culprit, I believe, is the sorry state of shipping data. Often, this data is scattered across various systems, fragmented, duplicated, incorrect, incomplete, and rarely provides a Single Source of Truth (SSOT). A potential solution to fragmented shipping data is for supply chains to start using a shipment Load ID to unify shipping information. Positively, a shipper-generated Load ID can bring together all data related to the shipper’s load. Moreover, this transport Load ID is not a tracking number, purchase order, or invoice number that links only parts of shipping data within different functional silos. So in this article, I’ll introduce the concept of a shipment Load ID. Further, I'll share with you the following 10 use cases where every organization in the supply chain can benefit from unifying their shipping data using Transport Load IDs. 1. Supplier Sourcing: Streamline And Optimize Carrier RFP Process Using Shipping Data Load IDs. 2. Supply Chain Planning (SCP): Seamless Transportation Planning For Demand Sensing, Capacity, and Asset Management. 3. Ecommerce And Order Fulfillment: Increase Visibility Of Order-To-Delivery Operations Using Shipping Data Load IDs. 4. Inventory Management: Gain Visibility Of Product Inventory At Rest And In Motion Coupled With Anticipated Demand. 5. Fleet Management And Trucking Technology: Optimize Capacity And Minimize Costs. 6. Freight Brokering: Increase Real-Time Efficiencies While Reducing Costs And Fraud. 7. Visibility And Tracking: Gain Multi-facet Visibility Of Orders And Transportation Across The Supply Chain. 8. Freight Bill Auditing And Payment: Streamline Processing, Leverage More FinTech Solutions. 9. Decision Intelligence Tech: Optimize Decision Flows Across The Supply Chain. 10. Supply Chain Protection: Minimize Fraud And Detect Anomalies Through Better Traceability. Undeniably, It’s time for supply chains to achieve total shipment visibility and effectively exploit their investments in data-driven logistics technologies. Thank you for reading and enjoy! #TUID #supplychainvisbility #shippingvisibility #dataanalytics #SSOT #logtech https://lnkd.in/efTCHMpJ

I look forward to a future where a Load ID is something ubiquitous, the same way geospatial data is, or even a UUID.

𝐃𝐚𝐭𝐚 𝐨𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐩𝐥𝐚𝐲𝐬 𝐚 𝐯𝐢𝐭𝐚𝐥 𝐫𝐨𝐥𝐞 𝐢𝐧 𝐬𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐢𝐧𝐠 𝐭𝐡𝐞 𝐏𝐮𝐫𝐜𝐡𝐚𝐬𝐞 𝐎𝐫𝐝𝐞𝐫 (𝐏𝐎) 𝐥𝐢𝐟𝐞 𝐜𝐲𝐜𝐥𝐞 𝐛𝐲 𝐛𝐫𝐢𝐝𝐠𝐢𝐧𝐠 𝐝𝐢𝐯𝐞𝐫𝐬𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐚𝐧𝐝 𝐭𝐞𝐚𝐦𝐬, 𝐛𝐨𝐭𝐡 𝐢𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐚𝐧𝐝 𝐞𝐱𝐭𝐞𝐫𝐧𝐚𝐥. From multiple ERPs and financial systems to supplier and subcontractor data, the procurement landscape is highly complex. Data orchestration simplifies this by creating a collaborative, integrated layer, giving procurement leaders, suppliers, and stakeholders complete visibility and control at every PO stage. Key benefits include: Data Integration: Consolidating data from all sources for a unified view, avoiding duplication (e.g., managing multiple vendor codes for the same supplier). Automation: Reducing manual effort and errors with automated workflows. Real-time Updates: Keeping data synchronized across all systems to avoid production delays. Data Consistency: Ensuring accuracy and alignment across all touchpoints. Analytics & AI: Enabling proactive, data-driven decisions to support strategic goals. Through data orchestration, procurement becomes not only more efficient but also more collaborative and insightful. #Procurement #SupplyChain #DataOrchestration

𝐃𝐚𝐭𝐚 𝐨𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐩𝐥𝐚𝐲𝐬 𝐚 𝐯𝐢𝐭𝐚𝐥 𝐫𝐨𝐥𝐞 𝐢𝐧 𝐬𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐢𝐧𝐠 𝐭𝐡𝐞 𝐏𝐮𝐫𝐜𝐡𝐚𝐬𝐞 𝐎𝐫𝐝𝐞𝐫 (𝐏𝐎) 𝐥𝐢𝐟𝐞 𝐜𝐲𝐜𝐥𝐞 𝐛𝐲 𝐛𝐫𝐢𝐝𝐠𝐢𝐧𝐠 𝐝𝐢𝐯𝐞𝐫𝐬𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐚𝐧𝐝 𝐭𝐞𝐚𝐦𝐬, 𝐛𝐨𝐭𝐡 𝐢𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐚𝐧𝐝 𝐞𝐱𝐭𝐞𝐫𝐧𝐚𝐥. From multiple ERPs and financial systems to supplier and subcontractor data, the procurement landscape is highly complex. Data orchestration simplifies this by creating a collaborative, integrated layer, giving procurement leaders, suppliers, and stakeholders complete visibility and control at every PO stage. Key benefits include: Data Integration: Consolidating data from all sources for a unified view, avoiding duplication (e.g., managing multiple vendor codes for the same supplier). Automation: Reducing manual effort and errors with automated workflows. Real-time Updates: Keeping data synchronized across all systems to avoid production delays. Data Consistency: Ensuring accuracy and alignment across all touchpoints. Analytics & AI: Enabling proactive, data-driven decisions to support strategic goals. Through data orchestration, procurement becomes not only more efficient but also more collaborative and insightful. #Procurement #SupplyChain #DataOrchestration

It's 2024. If you're still dealing with data silos and inconsistent data formats across different regions and carriers, here are 3 things that can enhance visibility and the veracity of your data. Here's a 3 step approach, and the last step is the most important: >Centralize your data >Standardize formats >Automate data collection and cleansing ⏬⏬⏬ ✅ Centralize Your Data: Create a single source of truth for all your supply chain data. ->Carriers, ERPs and regions, OH MY. How can you assess the impact of a return from China to the port of San Francisco by comparing multiple data sets in different currencies and unnormalized charge codes? -> Trax Technologies customers leverage a single control tower methodology which provides connective tissue across their entire value chain to return clean, easy-to-access data within a few clicks. ✅Standardize Formats: Ensure consistency across different regions and carriers. ->What does carrier data from Fedex, DHL and Maersk all have in common? Almost nothing. ->Trax Technologies customers rely on a digital cleansing powered by AI to do the job it would otherwise take hundreds of analysts and data scientists, ensuring consistent standardized formats. ✅Automate Data Collection: Leverage technology to streamline data gathering and reduce errors. ->When your kids act up you can put them in the corner to improve their behavior, but that doesn't work for the carriers very well. -> Trax Technologies customers leverage cohesive data to scorecard carriers, identify error root cause, and outsource carrier coaching/management to the experts. Ready to break free from the data chaos? Let's talk about how to transform your supply chain with data-driven insights. 👍 Connect | Follow | Comment | DM with me to learn more! #SupplyChain #DataIntegration #Visibility

𝐃𝐚𝐭𝐚 𝐨𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐩𝐥𝐚𝐲𝐬 𝐚 𝐯𝐢𝐭𝐚𝐥 𝐫𝐨𝐥𝐞 𝐢𝐧 𝐬𝐭𝐫𝐞𝐚𝐦𝐥𝐢𝐧𝐢𝐧𝐠 𝐭𝐡𝐞 𝐏𝐮𝐫𝐜𝐡𝐚𝐬𝐞 𝐎𝐫𝐝𝐞𝐫 (𝐏𝐎) 𝐥𝐢𝐟𝐞 𝐜𝐲𝐜𝐥𝐞 𝐛𝐲 𝐛𝐫𝐢𝐝𝐠𝐢𝐧𝐠 𝐝𝐢𝐯𝐞𝐫𝐬𝐞 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐚𝐧𝐝 𝐭𝐞𝐚𝐦𝐬, 𝐛𝐨𝐭𝐡 𝐢𝐧𝐭𝐞𝐫𝐧𝐚𝐥 𝐚𝐧𝐝 𝐞𝐱𝐭𝐞𝐫𝐧𝐚𝐥. From multiple ERPs and financial systems to supplier and subcontractor data, the procurement landscape is highly complex. Data orchestration simplifies this by creating a collaborative, integrated layer, giving procurement leaders, suppliers, and stakeholders complete visibility and control at every PO stage. Key benefits include: Data Integration: Consolidating data from all sources for a unified view, avoiding duplication (e.g., managing multiple vendor codes for the same supplier). Automation: Reducing manual effort and errors with automated workflows. Real-time Updates: Keeping data synchronized across all systems to avoid production delays. Data Consistency: Ensuring accuracy and alignment across all touchpoints. Analytics & AI: Enabling proactive, data-driven decisions to support strategic goals. Through data orchestration, procurement becomes not only more efficient but also more collaborative and insightful. #Procurement #SupplyChain #DataOrchestration

Unlock superior logistics with data-driven decisions. 📊 Enhance efficiency, reduce costs, and streamline your supply chain with our cutting-edge solutions! (data-driven logistics, superior logistics, logistics efficiency, supply chain optimization, logistics solutions, data analytics in logistics, cost-effective logistics, smart logistics decisions, logistics technology, supply chain management) #DataDrivenLogistics, #SuperiorLogistics, #LogisticsEfficiency, #SupplyChainOptimization, #LogisticsSolutions, #LogisticsAnalytics, #CostEffectiveLogistics, #SmartLogistics, #LogisticsTech, #SupplyChainManagement

Reverse Logistics: A Scientific Approach to Operational Excellence 🔄🔬 Leveraging technology for optimized reverse logistics streamlines returns, maximizing resource recovery and minimizing environmental impact. This approach significantly improves operational efficiency, reduces costs, and enhances sustainability. 5 Whys Applied to Reverse Logistics Why are returns costly? (High handling costs, inefficient sorting) Why are returns inefficient? (Lack of visibility, manual processes) Why are manual processes inefficient? (Human error, delays) Why are there delays? (Lack of real-time data, poor communication) Why is there poor communication? (Lack of centralized system) Solution: Implementing a centralized TMS Blue Yonder/JDA system with AI-powered data analysis for real-time tracking and automated sorting, using Machine Learning (ML) models for predicting returns. This will reduce handling costs, increase efficiency, and enhance sustainability. Rating: Excellent. The combination of reverse logistics and 5 Whys is powerful for identifying root causes and implementing sustainable solutions. Recommendation: Start with pilot programs and expand based on success. #ReverseLogistics #SupplyChain #Sustainability #Innovation #Logistics #5Whys ♻️🚀 https://lnkd.in/e6bZd3eY