Tech SCM: Data and AI for supply chain | TECH SCM posted on the topic | LinkedIn (2024)

Between 2023 and 2025, the North America region is projected to experience the most significant transformation due to the adoption of #AI and #ML technologies in #supplychain. With a notable 45% utilization rate of AI in supply chain #operations, the region demonstrates both a steadfast dedication and remarkable proficiency in leveraging these advanced technologies to optimize logistical processes - Statista Read this Medium blog where we explaintop 7key features of Supply Chain Management Software: https://lnkd.in/dwA7yVW2Supply Chain Software has magnified the spotlight for all good reasons. Just with the amalgamation of the right key features in yoursupply chain management software, you can unleash perfection in your supply chain operations If you are looking for Supply chain management Software, then get in touch with us: https://lnkd.in/dyZ__AJr#scm #logistik #process #medium #customersatisfaction #visibility #costsaving #accuracy #efficiency #warehouseautomation #manufacturing #fmcg #retail #nextgeninvent

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Check out the latest report from IMIR Market Research Pvt. Ltd. on the 𝗧𝗿𝗮𝗻𝘀𝗽𝗼𝗿𝘁𝗮𝘁𝗶𝗼𝗻 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗠𝗮𝗿𝗸𝗲𝘁 Outlook and Geography Forecast till 2028 Don't miss out on this opportunity to stay informed about the latest trends in the industry.Transportation Management Systems Market Size, Share & Trends Analysis Report By Ccomponent (Solution [Planning and Execution, Order Managment, Audit, Payment and Claims, Reporting and Analytics, Routing and Tracking], Services [consulting, Integration and Implementation, Support and Maintenance]), By Transportation Mode (Roadways, Railways, Airways, Maritime), By Deployment type (On-premises, Cloud), By Organization size (Large Enterprises, Small and Medium-sized Enterprises), By Verticals (Retail, Healthcare and Pharmaceutical, Manufacturing, Transportation and Logistics, Energy and Utilities, Government, Others), COVID-19 Impact Analysis, Regional Outlook, Growth Potential, Price Trends, Competitive Market Share & Forecast, 2022 - 2028.📚 𝐆𝐞𝐭 𝐭𝐡𝐢𝐬 𝐫𝐞𝐩𝐨𝐫𝐭 𝐚𝐭 𝐝𝐢𝐬𝐜𝐨𝐮𝐧𝐭𝐞𝐝 𝐩𝐫𝐢𝐜𝐞:👇https://lnkd.in/dPw9ct_J📚𝐓𝐨𝐩 𝐌𝐨𝐫𝐞 𝐊𝐞𝐲 𝐏𝐥𝐚𝐲𝐞𝐫𝐬 𝐀𝐫𝐞::👇AllotracAlpega GroupBlue YonderBlueRock Logistics B.V.BluJay Solutions.C.H. RobinsonCerasisCTSI-GlobalDDSDescartes Systems Groupe2openEFREIGHTSOLUTIONS, LLCElemicaEnvase TechnologiesFretronGenerix GlobalTranzinet-logistics GmbHInforINMOTION GLOBALIntelliTransIBM Jda Software GroupLogistically - Your Digital Shipping PartnerManhattan AssociatesMercuryGate International.nShiftOne Network EnterprisesOracleoTMS (openTrans Technology Co., Ltd.)Princeton TMXRateLinxRevenovaSAPShiptifyShipwellSupplyStackTailwind Transportation Software

Early adoption of AI platforms for procurement will have downstream benefits for manufacturers.If you want to start recognizing the benefits, here's what we've seen.ERP systems aren't built with manufacturing functions in mind.Procurement has lagged in adopting solutions that are better suited for:→Automating PO tasks→Improving supplier collaboration→Increasing internal visibility→Risk management→Financial managementAutomating non-value-adding tasks will allow you to spend time on:→Driving strategic decisions.→Developing supplier relationships.→Improving customer satisfaction.By doing the above right, you become the customer of choice in your industry. And that's a massive competitive advantage for manufacturers.Join us in the comments 👋🏻 - how important is the adoption of new technology for procurement?

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Warehouse management systems (WMS) are transforming due to the rise of artificial intelligence (AI). Here are 4 types of WMS and how AI will impact them: #1 Standalone System: A standalone system allows the user to manage inventory using a single system for order processing, inventory control, shipping, and receiving. AI will help this system to become smarter and more efficient. It can help reduce labor costs, automate processes, and provide real-time insights into productivity. #2 Cloud-based System: A cloud-based WMS system offers more flexibility and scalability than its standalone counterpart. AI can help it to become more efficient, improve data accuracy, and automate processes. It can also help with predictive analysis and forecasting, as well as improving security. #3 Integrated with ERP: ERP systems integrate with WMS to help manage inventory, order processing, and shipping. AI can be used to improve the accuracy of data and automate processes in the ERP system. It can also help to improve accuracy in forecasting and inventory management.#4 Supply Chain Modules: Supply chain modules are used to automate and manage the flow of goods throughout a business. AI is helping through predictive analytics, accurately predicting future demand by analyzing data, allowing companies to optimize inventory levels, streamline supply chain processes, and reduce the risk of stockouts or overstocking#WMS#AI

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In the dynamic world of distribution and wholesale, achieving high warehouse accuracy is crucial. AI can play a pivotal role in this by synthesizing data, interpreting results, and projecting recommendations. While 100% accuracy may be impractical due to cost, AI can help set realistic targets by analyzing internet data and historical performance.For instance, AI can calculate average accuracy levels for specific items and pack sizes, comparing them with actual service levels from ERP software. This helps in setting achievable accuracy goals.Productivity-wise, AI can swiftly establish performance standards by analyzing reported data for various shifts, thus saving time over manual calculations. It can also compare actual worker performance against these standards, aiding managers in decision-making.Gulshan Singh, PhDJosé Manuel Velarde CSCP, CPIM, CPSM, CPSDMargaret A. Kidd, CMILT, CPE™

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Warehouse management systems (WMS) are transforming due to the rise of artificial intelligence (AI). Here are 4 types of WMS and how AI will impact them: #1 Standalone System: A standalone system allows the user to manage inventory using a single system for order processing, inventory control, shipping, and receiving. AI will help this system to become smarter and more efficient. It can help reduce labor costs, automate processes, and provide real-time insights into productivity. #2 Cloud-based System: A cloud-based WMS system offers more flexibility and scalability than its standalone counterpart. AI can help it to become more efficient, improve data accuracy, and automate processes. It can also help with predictive analysis and forecasting, as well as improving security. #3 Integrated with ERP: ERP systems integrate with WMS to help manage inventory, order processing, and shipping. AI can be used to improve the accuracy of data and automate processes in the ERP system. It can also help to improve accuracy in forecasting and inventory management.#4 Supply Chain Modules: Supply chain modules are used to automate and manage the flow of goods throughout a business. AI is helping through predictive analytics, accurately predicting future demand by analyzing data, allowing companies to optimize inventory levels, streamline supply chain processes, and reduce the risk of stockouts or overstocking#WMS#AI

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#supplychain #transportationHow do we integrate AI into supply chain? There are lots of ideas ranging from better demand forecasting to customer service automation. Most of these largely fall into the "aspirational" column. Projects are easier said than done on one hand, and everything you do requires focus and investment on the other. A lot of them will only come to fruition when software providers add AI capabilities to their offerings so that it becomes seamless for end users. One such push is now coming from SAP, which announced a heavy push into intelligent supply chains at the Hannover technology trade show this year. New features include computer vision for manufacturing and quality assurance, ML-based monitoring of equipment, or technician scheduling.This is obviously just the beginning. According to a recent study by IDC, only 15% of surveyed companies did not have a strategy for how to deploy AI in their supply chains. Yet, most companies today expect their ERP provider to bring new features to the table. This is not surprising in that most won't necessarily have the tools or experience to create unique solutions that plug into existing systems. The integration is always complex and often requires changes to the ERP that end users are loathe to make. One aspect that is undervalued in this regard is how you create a competitive advantage. It obviously doesn't happen when you take innovation from software providers who work with everyone in your industry. Frankly, strategic value will largely stem from adopting faster and integrating processes deeper than your peers.#truckl #innovation

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FMCG organizations are constantly seeking ways to optimize their supply chain and enhance operational efficiency. Enter the Warehouse Management System (WMS) - a game-changer for any FMCG organization looking to step into the next frontier. 🚀A robust WMS not only streamlines inventory management but also ensures timely order fulfillment, reduces errors, and maximizes warehouse space utilization. But what if we could take it a notch higher? That's where AI comes into play. 🤖By integrating AI with a well-entrenched WMS, organizations can:1. Predict demand more accurately, reducing stockouts and overstocks.2. Automate routine tasks, freeing up human resources for more strategic roles.3. Enhance real-time decision-making with data-driven insights.4. Improve customer satisfaction with faster and more accurate deliveries."Innovation is the ability to see change as an opportunity - not a threat." Embracing AI in WMS is not just about staying ahead; it's about reimagining the future of FMCG operations.#WarehouseManagement #AIIntegration #FMCGInnovation #SupplyChainOptimization #FutureReady

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Imagine a future where sourcing isn't just a process but a strategic advantage. Welcome to the era of AI-driven strategic sourcing. The landscape of procurement is evolving. Gone are the days when sourcing decisions were based solely on cost. Today, the integration of AI is reshaping how companies approach sourcing, turning it into a powerhouse of competitive advantage. AI-driven tools are not just about automation; they're about insight. They can predict market trends, assess supplier risks, and identify cost-saving opportunities that humans might overlook. This level of analysis and foresight allows businesses to be agile, making informed decisions that keep them ahead of the curve. But here's the kicker: while AI can provide the data, the strategic decisions still rest on human shoulders. The real magic happens when human expertise and artificial intelligence work in tandem. This synergy between man and machine opens up new avenues for innovation, efficiency, and sustainability in sourcing practices. The question is, are businesses ready to embrace this change? The potential for AI in strategic sourcing is immense, but it requires a shift in mindset—from seeing sourcing as a procurement function to viewing it as a strategic role that drives business value. If you are interested in learning more, feel free to DM me. #ERP #Netsuite #ExpenseManagement #Oracle #Sage #Microsoftdynamic365 #SAP #Syspro #Odoo

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