Transportation Data Management Solutions

Ever wondered why different neighborhoods have different types of car-sharing vehicles, or why some districts have more car-sharing vehicles than others? Behind this phenomenon lies a complex data optimization problem: Supply repositioning in fleet management is a crucial, yet often invisible challenge: where to park vehicles so that people don’t have far to go to access them. Whether you’re running a bicycle sharing company, a car sharing company, or a vehicle rental company, sophisticated location intelligence helps you match vehicle types to neighborhood transportation demands, optimizing for both customer experience and operational costs. Let’s say your company has a bunch of demand for cars downtown, but they’re all parked in a suburb somewhere. Suffice it to say, they won’t be used much, and you won’t get much business. No customer will ever walk 10km to pick up a car. With a better sense of where the demand is, you can reposition the supply with proximity in mind, and optimize routes and the cost of transportation. You also know how many times the fleet should be repositioned, and how. Advanced location intelligence can analyze: - The maximum distance customers are willing to travel to pick up a vehicle - Empty parking spaces or lots where cars can be parked - Parking regulations or other constraints - Typical demand patterns per geographical location and vehicle type, ie. vans for industrial locations, luxury vehicles in club districts or airports For most of these businesses, supply repositioning is done the old-fashioned way: office staff and truck drivers recognize certain demand patterns and act accordingly. Once the morning peak is over, they’ll go through an elaborate exercise to make sure the fleet is physically repositioned to where there will be enough demand in the afternoon. But using a tool to match supply with demand is more effective on every level: cost efficiency, regulatory demands, safety, and revenue.

🚢 Transforming Logistics with AI: Key Insights from Windward’s Customers 📊 Over the past few years, Windward Ocean Freight Visibility (OFV) has supported key players in the logistics industry. While there are several solutions in the market , and while all of our customers have a world class TMS with some visibility data , we wanted to provide a tangible guide for customers to understand in a quantifiable , clear way, the benefits of our products for their operations.. Here’s a summary of the key benefits our customers have experienced: • Accurate Routing Information: Improved milestone coverage to 91%, reducing transshipment delays by over 30%. • Reliable ETA Predictions: Windward’s Maritime AI™ delivers 15% more accurate ETAs, enhancing decision-making and reducing unexpected delays by 25%. • Real-Time Data Updates: Fresh data every 10 hours, ensuring operators always have the latest information, cutting down outdated data-related errors by 40%. • Comprehensive Milestone Tracking: Complete visibility over ATD and ATA data for all shipment legs, improving tracking accuracy by 35%. • Enhanced Data Quality: Automatic error notifications and validation for booking references, BOLs, and container numbers, decreasing data entry errors by 20%. • Streamlined Communication: Shareable shipment pages providing a single source of truth for all stakeholders, increasing customer satisfaction by 50%. Discover how these insights can optimize your logistics operations and drive success. 📈 Boost operational efficiency 🌐 Achieve better strategic planning 🤝 Enhance customer satisfaction Ready to leverage the power of AI for your logistics? Let’s talk ! Read more here: https://lnkd.in/e7HMbxAs #Logistics #SupplyChain #AI #DataManagement #WindwardAI Windward

"How Penske #Logistics Transforms Fleet Intelligence with #DataStreaming and #AI" Real-time visibility is no longer a luxury in logistics—it’s a business-critical necessity. As global supply chains grow more complex and customer expectations rise, logistics and transportation providers must move away from delayed, static data pipelines. Data Streaming with technologies like #ApacheKafka and #ApacheFlink enables logistics companies to capture, process, and act on streaming data the moment it’s generated. From telematics and sensor data to inventory and ERP systems, every event can drive a smarter, faster response. A standout example is #PenskeLogistics. With over 400,000 vehicles in its fleet, Penske Logistics uses Confluent's fully-managed Kafka service to process 190M+ IoT events daily. Their platform powers real-time fleet health monitoring, predictive maintenance, automated compliance, and enhanced customer experiences. This shift to #EventDrivenArchitecture is not theoretical. Leading companies across the supply chain—LKW Walter, Uber Freight, Instacart, Maersk—are deploying similar architectures to modernize their operations. Penske’s journey is especially impressive. They’ve avoided over 90,000 roadside incidents through real-time diagnostics and predictive alerts. AI-powered tools further accelerate response times and improve uptime across the fleet. And this is just the beginning. As EVs and autonomous vehicles increase, the volume of edge data will grow exponentially. Penske is already scaling its platform to prepare—and combining Kafka with AI to deliver real-time, intelligent automation. Want to learn more? Check out my latest blog post: https://lnkd.in/e4fUWvXw

A Simplified Explanation of SAP S/4HANA - Transportation Management Today, we will discuss Transportation Management, a powerful module that can transform the way businesses handle logistics and supply chain operations. We will use a real-life scenario from the retail industry to illustrate the module's functionalities, making it easier for you to understand and apply these concepts in your own professional environment. Imagine you are the logistics manager at "RetailCo," a large retail company that sells a variety of products, from clothing to electronics. Your job is to ensure that these products reach your stores on time, in the right quantity, and in perfect condition. This is where Transportation Management comes into play. 1. Planning and Consolidation: The journey begins with the receipt of orders from various stores. These orders are consolidated in the Transportation Management module, which helps you plan the most efficient way to deliver the goods. For example, if Store A and Store B, located in the same city, both order the same product, the system will suggest consolidating these orders into one shipment to save on transportation costs. 2. Carrier Selection: Next, the system assists in selecting the best carrier for the shipment based on factors like cost, delivery time, and carrier performance. Suppose Carrier X offers a lower rate but has a history of late deliveries, while Carrier Y is slightly more expensive but always delivers on time. The system will help you weigh these factors and make an informed decision. 3. Route Optimization: The module also provides route optimization capabilities. If you have multiple deliveries in the same region, it will suggest the most efficient route to minimize travel time and fuel consumption. For example, if you have deliveries for Store A, Store B, and Store C, the system will calculate the shortest route to visit all three stores. 4. Execution and Monitoring: Once the planning is complete, the system helps execute the transportation plan. It generates freight orders and sends them to the selected carriers. It also allows you to monitor the status of your shipments in real-time, providing alerts for any delays or issues. For instance, if a truck breaks down on the way to Store B, you will be notified immediately so you can take corrective action. 5. Settlement: Finally, the system assists in the settlement process. It verifies the carrier's invoices against the agreed rates and services, ensuring you only pay for what was delivered. If Carrier Y charges for expedited delivery but the shipment arrived late, the system will flag this discrepancy. Transportation Management is a comprehensive tool that can streamline your logistics operations, reduce costs, and improve service levels. It takes you from the initial planning stage all the way to settlement, providing visibility and control over your transportation processes. #SupplyChain #LogisticsManagement #S4HANA

🚛 Why Does a Business Need SAP TM? From shipment planning to freight settlement, SAP Transportation Management (SAP TM) is no longer optional—it's essential. In this post, I’ve broken down: ✅ The core functionalities of SAP TM with real-world relevance ✅ Its evolution from standalone to embedded and cloud versions ✅ A clear roadmap of deployment types from SAP ECC to S/4HANA TM ✅ The architecture and cloud versions from 2020 to 2024+ Whether you're an SAP consultant, business leader, or logistics professional, understanding how SAP TM supports enterprise logistics can drive better decisions and smoother operations. 📩 Let me know your thoughts or questions in the comments! #SAPTM #TransportationManagement #SAPS4HANA #SupplyChainSolutions #SAPConsulting #LogisticsTech #EmbeddedTM #SAPPublicCloud #DigitalTransformation #StelliteWorks

SAP Transportation Management (SAP TM): Strategy vs. Planning 1. Strategy in SAP Transportation Management The transportation strategy focuses on optimizing logistics and freight movement to achieve business goals like cost savings, faster delivery, and sustainability. Core strategic areas in SAP TM include: -Carrier Selection & Rate Management (Lowest cost, fastest delivery, preferred carrier) -Load Consolidation & Route Optimization (Minimizing empty miles, reducing cost per trip) -Freight Spend Optimization (Balancing service levels and costs) -Inbound vs. Outbound Logistics Strategy -Last-Mile Delivery & Customer Service Strategy -Sustainability Initiatives (Green Logistics) 2. Planning in SAP Transportation Management Planning translates transportation strategy into execution through SAP TM configurations, such as: -Defining Transportation Lanes & Freight Agreements -Optimizing Load Planning & Vehicle Capacity -Carrier Selection Rules & Freight Booking -Freight Order & Freight Settlement Configuration -Defining Transportation Planning Profiles -Integration with SAP EWM for Load Tendering & Dock Scheduling -Tracking & Monitoring via SAP Event Management (SAP EM) SAP TM planning ensures efficient shipment execution, cost control, and real-time tracking, aligning with the strategic goals.

When AI Falls Off the Tracks Transportation and logistics industries are prime candidates for AI-driven efficiencies—optimizing routes, scheduling maintenance, and forecasting demand. Yet, countless AI pilots have derailed because the underlying data was inconsistent or incomplete. Imagine an AI system designed to optimize train schedules, only to discover that delay logs from different stations used varying formats and timestamps. The system’s recommendations became unreliable, causing confusion and delays instead of improvements. To keep AI on track, focus on: Standardized Data Archiving: Aggregate data from GPS trackers, maintenance logs, and operations centers into a centralized archive with uniform schemas and metadata. Consistent Timestamping and Geocoding: Enforce strict rules for how time and location data are recorded—avoiding mismatches that confuse AI models. Governance for Cross-Functional Collaboration: Encourage IT, operations, and analytics teams to co-own data standards, ensuring everyone speaks the same data language. When transportation companies invest in these foundational elements, AI becomes a reliable partner—minimizing delays, reducing fuel consumption, and improving customer satisfaction. Without robust data management, AI recommendations can misguide operations and strain precious resources. Build a solid data runway first, and watch your AI take flight.