Automating data entry: Why it's a must for brand operations

There’s a lot of talk about what AI could do—but not enough about what it’s doing right now. 📉 30% lower forecast error 📦 Millions in inventory savings ⏱ 65% improvement in lead time accuracy Check out this webinar that dives into topics like demand planning, lead time prediction, and routing automation. Watch now: https://lnkd.in/g7sHvFGM #LeadTimePrediction #DecisionEngineering #SupplyChainDesign

There’s a lot of talk about what AI could do—but not enough about what it’s doing right now. 📉 30% lower forecast error 📦 Millions in inventory savings ⏱ 65% improvement in lead time accuracy Check out this webinar that dives into topics like demand planning, lead time prediction, and routing automation. Watch now: https://lnkd.in/dAzDq6qw #LeadTimePrediction #DecisionEngineering #SupplyChainDesign

🔮 If only logistics teams had a crystal ball… Most don’t... but AI forecasting gets pretty close. Here’s how forward-thinking teams are already using it: ✅ Spotting demand spikes before they happen ✅ Allocating drivers and vehicles with fewer last-minute changes ✅ Reducing empty miles by predicting return loads ✅ Planning stock levels around actual customer behaviour ✅ Turning “firefighting” into proactive scheduling The result? Less wasted time, smoother operations, and more profit per mile. Of course, a LinkedIn post can only scratch the surface. If you’re curious how these tools could fit your specific operation, I’m always happy to share more. Just drop me a message or we can hop on a quick call. The future’s not in a crystal ball. It’s in the data you’re already sitting on. #logistics #supplychain #transportation #demandforecasting #AIinLogistics #automation #predictiveanalytics #futureofwork

Overstocking isn't safety, it's stalled cash. Understocking isn't lean, it's lost revenue. Finding the right inventory balance has always been tough. It’s even harder when demand planning is buried in static spreadsheets, delayed reports, and siloed systems. With CSCS Demand Planning, your team gets: Real-time demand signals. Smarter forecasts. Faster reactions to market shifts. One client unlocked: $1.8M in new revenue. $1.2M cut in carrying costs. 27% jump in NPS, because customers noticed. The difference? A connected AI platform that learns, adapts, and acts. See how: https://lnkd.in/dg-87mfH #DemandPlanning #SmartInventory #SupplyChainAI #CSCSTeam #InventoryOptimization #DataDrivenDecisions #FutureOfSupplyChain #RealTimeForecasting 

🎛️ 𝗣𝗿𝗼𝗰𝘂𝗿𝗲𝗺𝗲𝗻𝘁’𝘀 𝗥𝗼𝗹𝗲 𝗶𝗻 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻𝘀 💡 Most supply chains still rely on human monitoring. But what happens when risk detection and sourcing decisions become fully autonomous? Procurement leaders must define when to trust the algorithm, and when to intervene. The future isn’t dashboards—it’s decisions on autopilot. Would you let AI sign your next supplier contract? Drop a X if you think procurement should—or shouldn’t—go fully autonomous. 👉 𝗟𝗲𝘁’𝘀 𝗰𝗼𝗻𝗻𝗲𝗰𝘁! 📥 𝗗𝗠 https://lnkd.in/gjuiH7JZ #AutonomousSupplyChain  #ProcurementAI  #DigitalProcurement  #FutureOfWork 09.9 06.a

AI-powered demand forecasting: reducing stockouts before they happen Stockouts sound simple on paper: demand is higher than expected, shelves go empty. But in practice, the reasons are tangled. Promotions overlap, weather throws off delivery schedules, or a local trend suddenly pushes one item off the charts. By the time traditional reports catch up, the gap is already there. What AI forecasting does well is sift through all those signals at once. Historical sales, external factors, even quirks like regional preferences — they get processed together, fast enough to give planners a heads-up. It doesn’t remove the need for judgment, but it buys time. And that time matters. Enough to reroute stock, adjust warehouse flows, or simply avoid the uncomfortable call explaining to a client why an order can’t be filled. That’s the difference: less firefighting, more breathing room.

𝗦𝗼𝗺𝗲𝘁𝗶𝗺𝗲𝘀 𝗶𝘁’𝘀 𝗮𝗯𝗼𝘂𝘁 𝗳𝗮𝘀𝘁𝗲𝗿 𝘀𝘁𝗲𝗽𝘀. 𝗦𝗼𝗺𝗲𝘁𝗶𝗺𝗲𝘀 𝗶𝘁’𝘀 𝗮𝗯𝗼𝘂𝘁 𝗿𝗲𝗶𝗺𝗮𝗴𝗶𝗻𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝗹𝗼𝘄. Most early agentic AI pilots focus on automating steps. Useful, but it rarely changes the game. The bigger wins come when workflows are reimagined. Take supply chain planning. Instead of “data pull → forecast → report,” an agent can reconcile mismatches, flag anomalies, and suggest corrective actions — all in one loop. Or finance operations. Rather than just routing invoices, an agent can verify vendors, match POs, detect anomalies, and handle exceptions. But here’s the catch: these gains holds advantage if agents sit on a platform that connects systems, ensures observability, and keeps outcomes measurable. The impact isn’t just faster steps. It’s fewer steps, smarter flows, and results that weren’t possible before. How are you approaching this in your organization, step automation, workflow reinvention, or building the foundation for both? #AgenticAI #EnterpriseAI #Automation #WorkflowDesign

Still relying on spreadsheets and gut feel to manage inventory? It’s time to upgrade. Just 1 week to go until our next Silos to Synergy webinar, Think Fast, Move Faster: Intelligent Supply Chains with Microsoft D365 Discover how AI and connected data are helping organisations modernise logistics, streamline inventory, and reduce risk. In just 30 minutes, we’ll show you how to move from reactive operations to proactive decision-making, and why it matters now more than ever. 📅 16th September 🕥10:30–11:00 am 🔗 Secure your spot and start building a smarter, faster supply chain. https://lnkd.in/exye5ZAM

𝐇𝐨𝐰 𝐀𝐈 𝐢𝐬 𝐓𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐈𝐧𝐯𝐞𝐧𝐭𝐨𝐫𝐲 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐟𝐨𝐫 𝐒𝐦𝐚𝐥𝐥 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬 Inventory management has always been a challenge for small businesses. AI tools are changing this by making the process more efficient, data-driven, and cost-effective. 𝐊𝐞𝐲 𝐛𝐞𝐧𝐞𝐟𝐢𝐭𝐬 𝐨𝐟 𝐀𝐈 𝐢𝐧 𝐢𝐧𝐯𝐞𝐧𝐭𝐨𝐫𝐲 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Demand forecasting helps avoid overstocking and stockouts. Real-time tracking provides better visibility into inventory. Automated reordering reduces manual work and human error. Data analytics improves decision-making for purchasing and pricing. AI-powered tools save time and reduce costs. Read the full article here: https://lnkd.in/g2U9y5Bd

Target recently revealed that unpredictable inventory flow and inefficient trailer unloading are gumming up operations, leading to empty shelves and excess stock. Their solution? Leaning into AI and automation to improve forecasting and inventory positioning. This challenge isn’t unique to retail giants. Across industries, inventory misalignment is becoming a silent profit killer — especially as supply chains shift from “just-in-time” to “just-in-case” models. The result? Overstocked warehouses, delayed fulfillment, and reactive decision-making. 🔍 Enter the Digital Twin: A virtual replica of your inventory ecosystem can transform how you respond to disruptions. By simulating demand shifts, supplier delays, and operational bottlenecks, digital twins enable proactive planning and real-time optimization. 💡 At Cenarity, we developed a digital twin platform focused on inventory optimization. Here’s what sets us apart: 📊 Daily monitoring of inventory health and supply chain signals ⚙️ Low-cost implementation with minimal disruption ⏱️ Fast ROI — most clients see measurable impact within weeks 🔄 Seamless integration with existing ERP and warehouse systems 📈 Predictive analytics to prevent stockouts and overstock before they happen 🚀 We’ve built a working MVP and are actively seeking industry early adopters to co-innovate with us. If you're ready to future-proof your inventory strategy, reach out for a free assessment — let’s build resilience together. #SupplyChain #InventoryOptimization #DigitalTwin #AI #Cenarity #LogisticsInnovation #ERP #RetailTech #Forecasting #MVP #EarlyAdopters