AI in logistics

How a Custom WMS helped UPS automate 2.4M Transactions

How a Custom WMS helped UPS automate 2.4M Transactions

Table of Contents Here’s how a Custom Warehouse Management System Helped UPS Handle 2.4M Transactions Weekly Running a warehouse isn’t glamorous. It’s not all forklifts and walkie-talkies. It’s mostly panic when you can’t find SKU X48Z before the 4 PM dispatch. That’s where we stepped in. UPS needed a warehouse management system that could handle the chaos like scanning, tracking, counting, reporting, delivering and still be flexible enough to actually fit how their warehouses work. So we built them one. And now? They process 2.4 million+ warehouse transactions every single week without the need to use spreadsheets, duct tape, or daily fire drills. In this blog, you get to know what went behind the scenes. Not Just Another Warehouse Management System Warehouse Management System is a software solution designed to optimize and automate the day-to-day operations of a warehouse. From inventory tracking and order fulfillment to labor management and real-time reporting, a WMS provides end-to-end visibility and control over warehouse processes. Most off-the-shelf WMS platforms are like cargo pants from the 2000s, too many pockets in the wrong places. We built a custom warehouse management system that actually fits. Like, tailored-to-your-workflows fits. Fully integrated with rugged devices like Datalogic for barcode-driven operations. Here’s what we packed into it: Custom fields (because one-size-fits-none) Role-based dashboards Barcode-driven inventory tracking that just works Mobile WMS for Android and Datalogic devices Integration with SAP and Microsoft Dynamics 365 Support for warehouse fleet and freight tracking A built-in last mile delivery notification platform From Barcode to Doorstep This WMS doesn’t clock out once products hit the loading dock, but it’s in it for the full journey. From the moment stock is received, scanned, and shelved, to the second it lands at the customer’s doorstep, everything is tracked, traced, and synced. It’s built to connect all stages of the logistics chain not just warehouse shelves, but fleet, freight, and last-mile delivery too. Customers get real-time delivery updates, and internal teams stay aligned across systems like SAP and Microsoft Dynamics 365. Real-time barcode scanning in action, connecting shelf to system instantly. The warehouse manager’s job just got way easier: Find any product now in any bin, across multiple warehouses instantly.So tell no to guessing games or radioing three teams to track a lost pallet. Generate reports without drowning in spreadsheets. Now, everything from stock flow to order history is just a few clicks away. No copy-pasting. No Excel-induced breakdowns. Place orders directly to customers with live inventory visibility. You can know what’s available, where it is, and how fast it can ship even before the sales team even asks. Track stock movement across warehouses like a control tower, whether the product is being picked, packed, or halfway out the door, it’s all visible in one dashboard. Dashboard view of UPS’s custom-built Warehouse Management System Mobile App Experience: The Warehouse in Your Pocket No warehouse manager wants to be stuck behind a desk. That’s why this WMS was built mobile-first. Whether you’re picking orders, scanning packages, logging new stock, or running a quick cycle count, everything can be done from a rugged Android or Datalogic device. Fast, intuitive, and 100% barcode-driven. Instead of toggling between tabs, forms, and walkie-talkies, teams now handle entire workflows right from the warehouse floor, all synced in real-time to the backend. Pick orders Scan SKUs, confirm serials, and pick orders right from the aisle, no paperwork needed. Load Orders Scan packaging slips and confirm loads before dispatch, smooth and accurate. Stock in Log incoming stock with photos, barcodes, and storage details. Everything gets a home. Cycle Count Quickly audit inventory by scanning barcodes, no spreadsheets, no stress. Smart Camera Stock Counting = No More Shelf Scanning Olympics Manual inventory counting is one of the most time-consuming and repetitive tasks in warehouse operations. Running up and down aisles with a handheld scanner, searching for specific Stock Keeping Units (SKUs), often feels more like a scavenger hunt than a streamlined process. It’s inefficient, physically demanding, and particularly challenging during audit periods when accuracy and speed are critical. So when UPS wanted a better way to handle stock reconciliation, we gave them exactly that: smart camera-based stock counting. Here’s how it works: Cameras are strategically placed to monitor shelf space, pallets, and bin areas. Using computer vision, the system automatically detects product movement and counts inventory in real-time, no manual scanning needed. It’s like having digital eyes across the warehouse that never blink or miss a count. And because it’s fully integrated into the warehouse management system, the data flows straight into live dashboards and reports. No delays. No missed counts. No weekend-long stocktaking marathons. Want to see how this works in your warehouse? Schedule a live demo with our team Book a Free Consult Faster stock audits: What used to take hours now happens passively. Improved accuracy: Reduce human error in high-volume operations. Happier teams: Because no one enjoys counting boxes row by row. Real-time visibility: managers can see discrepancies before they become problems. Let’s talk about The Impact Faster stock audits: What used to take hours now happens passively.   Improved accuracy: Reduce human error in high-volume operations.   Happier teams: Because no one enjoys counting boxes row by row.   Real-time visibility: managers can see discrepancies before they become problems. Who needs this? Built for UPS. Perfect for Anyone Who Deals With Stuff. We did build this warehouse management system for UPS, but it’s not some locked-away, one-time magic trick. This system is designed for any business that touches inventory, logistics, or just needs a break from operational chaos. If you’re nodding along to any of these, you’re exactly who we built this for: Logistics Teams Buried in Manual Processes Still using clipboards, Excel sheets, or chasing updates across five platforms? This WMS automates the grind. The barcode scans, stock movement, inbound/outbound logging, so you can finally breathe (and scale). Ops Managers Tired of Playing ‘Where’s Waldo’ with Inventory If finding a misplaced pallet feels like a full-time job, you’re not alone.

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Where to Use Generative AI

Where to Use Generative AI: A Comprehensive Guide for Businesses

Introduction The Rise of Generative AI and Its Industry Impact The growing demand for Generative AI (Gen AI) is transforming industries like healthcare, logistics, manufacturing, education, travel, and hospitality. With cutting-edge advancements such as Large Language Models (LLMs), companies are leveraging AI to unlock new opportunities, optimize operations, and enhance customer experiences. However, not every AI solution is a fit for every problem. This guide will explore where Generative AI can add value across different industries, where it falls short, and how businesses and developers alike can approach AI implementation to gain a competitive advantage. Understanding Generative AI and Its Capabilities What is Generative AI? It refers to AI systems that can create new content—such as text, images, videos, and even music—based on data. It has revolutionized industries by automating creative and repetitive tasks, helping companies become more efficient. Popular Examples Text Generation Chatbots or virtual assistants that simulate human-like conversations. Image Generation AI-generated images for marketing, manufacturing prototypes, or design. Video & Audio Creation AI-powered media for advertising or educational tools. Generative AI has immense potential in creative tasks, but its real impact depends on how well its application is tailored to a specific industry need. Get In Touch The Role of Generative AI in Modern Industries Generative AI tools is finding wide adoption in industries such as healthcare, manufacturing, logistics, warehousing, education, and hospitality, as it can automate content creation, enhance operational workflows, and personalize customer experiences. Let’s look at industry-specific applications. Industry-Specific Use Cases of Generative AI Healthcare Automating patient records, summarizing medical reports, or assisting in telemedicine by handling routine queries with AI-powered chatbots. It also aids in research and drug discovery by analyzing large datasets and generating hypotheses. Manufacturing Assists in predictive maintenance by generating insights from IoT sensor data and help design complex parts or systems through AI-driven simulations and prototyping. Logistics & Warehousing AI can automate warehouse management by generating optimized schedules, automating inventory updates, and predicting supply chain disruptions. It also helps streamline transportation and delivery systems by generating real-time route recommendations. Education Generates personalized learning materials for students, automate grading, and create intelligent tutoring systems to enhance the learning experience. Travel & Hospitality Helps automate customer support, generate tailored travel itineraries, and create personalized recommendations for users. AI-generated content can improve online presence through high-quality blogs, reviews, and social media updates. Get In Touch How to Evaluate AI Use Cases for Your Business Evaluating AI use cases involves aligning the right AI technique with the business need. Let’s explore how various industries can apply AI effectively. Healthcare: AI for Medical Diagnosis & Automation AI-driven medical diagnostics improve accuracy and reduce the time taken for patient diagnoses, while AI-powered systems automate administrative tasks, improving healthcare efficiency. Example: AI-powered chatbot assisting with medical records and reports. Logistics & Warehousing: Optimizing Supply Chain and Inventory Management AI helps manage inventory more efficiently by automating stock control, predicting supply needs, and optimizing routes for delivery, reducing costs and improving customer satisfaction. Example: AI optimizing delivery routes and managing inventory. Manufacturing: Predictive Maintenance & Process Optimization In manufacturing, AI systems can predict equipment failures before they happen and automate production line adjustments, ensuring smooth operations and minimizing downtime. Example: AI assisting in predictive maintenance through IoT sensor data Travel & Hospitality: Enhancing Customer Service and Experience AI improves guest services by automating booking systems, customer support, and recommendations. In travel, AI can generate tailored travel experiences and itineraries for customers, enhancing satisfaction and personalization. Example: AI creating personalized travel itineraries. Education: AI for Personalized Learning and Administrative Efficiency AI has the potential to revolutionize education by assisting teachers in creating customized lesson plans, generating question papers, and automating administrative tasks like grading and reviewing exam submissions. It can also provide personalized learning experiences for students by identifying individual learning styles and suggesting tailored resources. Example: AI-powered tool helping teachers generate question papers based on curriculum standards and reviewing exam submissions to provide detailed feedback. Best Practices for Implementing Generative AI in Your Company Before implementing Generative AI, follow these best practices to ensure success in industries like healthcare, logistics, and manufacturing: Identify High-Impact Areas Focus on areas where Generative AI can add significant value, such as customer service in hospitality, content creation in education, or automated inventory management in logistics, while avoiding tasks requiring precise data-driven results. Ensure Data Quality Generative AI systems depend heavily on high-quality data. Whether it’s patient data in healthcare, sensor data in manufacturing, or inventory data in warehousing, clean, structured data is key to successful AI deployments. Start Small and Scale Gradually Deploy AI in small, manageable projects—such as a chatbot for customer support in hospitality or predictive maintenance in manufacturing—before rolling it out across your entire operation. Focus on Ethical AI Ethical AI use is critical, particularly in sensitive sectors like healthcare and education. Ensuring fairness, avoiding biases, and maintaining transparency are essential to gaining customer trust and meeting regulatory requirements. Get In Touch AI Techniques Beyond Generative AI: Finding the Right Approach To ensure businesses implement the right AI solutions, it’s crucial to understand the broader AI landscape and its techniques. Non-Generative Machine Learning This includes algorithms such as decision trees, clustering, or regression, which are ideal for predictive tasks in healthcare, manufacturing, or logistics where structured data is analyzed to improve processes and make data-driven decisions. Simulation & Optimization Simulation techniques help model real-world processes in manufacturing or logistics, allowing businesses to simulate “what-if” scenarios. Optimization algorithms can improve route planning, inventory management, and resource allocation across industries. Rules-Based Systems In industries that require clear, deterministic outcomes, such as compliance in healthcare or quality control in manufacturing, rule-based AI systems offer a more accurate and controlled approach than probabilistic Generative AI models. The Limits of Generative AI: When Not to Use It Generative AI is Not a Catch-All Solution Despite its strengths, Generative AI is not suited for every task. Businesses looking to automate processes such as forecasting, financial planning, or complex decision-making should explore traditional AI

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