Sutton is a manufacturing and distribution ERP platform that combines core operations management with AI-driven automation and customizable applications. The software centralizes inventory, warehousing, sales, purchasing, production, fulfillment, traceability, and compliance in one system. Inventory capabilities include real-time stock visibility, multi-location management, demand forecasting, shipping workflows, and monitoring of materials that may run out. Production features support shop-floor control, production scheduling, work centers, materials, jobs, and operational tracking. Sutton’s intelligence layer analyzes operational data to surface business health, identify exceptions, recommend next steps, and help users act on those recommendations. AI agents can prepare purchase orders, respond to changing production requirements, generate shipping documents, and handle other repetitive operational tasks across modules. Sutton Studio allows users to create custom apps, reports, forms, and workflows by describing what they need in plain English, with the resulting tools operating directly on existing Sutton data and permissions. The platform also includes an AI-assisted onboarding process that can reformat data, map fields, make bulk edits, and configure the system for migration. Sutton integrates with ecommerce, accounting, and sales channels such as QuickBooks, Shopify, WooCommerce, Amazon, and eBay and provides flexible API access for connecting additional systems.
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MicroStation is the trusted CAD software that empowers infrastructure professionals to design, manage, and deliver projects with precision and efficiency. Its power, flexibility, AI automation, and 3D geospatial context enable innovative designs and creative visualizations. Communicate design changes and unite critical project elements in a single environment, ensuring effective and secure project deliverables. MicroStation scales for any infrastructure project, whether it lasts days, months, or years. MicroStation is the foundation for the entire Bentley modeling environment including digital twins.
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Deltia.ai
Equip your shop-floor personnel with advanced insights derived from AI and computer vision technology. This enhancement not only increases productivity but also helps meet financial goals. Whether you're a line manager or a process engineer, you'll receive valuable insights that inform both your everyday tasks and long-term improvements. Maintain oversight of your operations with comprehensive reports detailing output, cycle times, and activities, while receiving timely alerts if issues arise. By thoroughly analyzing your workflows, our AI enables you to pinpoint and prioritize key areas for enhancement effectively. Uncover the most frequent paths that reveal inefficiencies, thereby streamlining your overall line performance. Utilizing a combination of station-mounted and overhead cameras, millions of data points are generated daily to provide the necessary insights. The bird's-eye and station cameras continuously capture live footage of assembly or packaging operations, with the video streams being analyzed in real-time to track workpiece movements, assess cycle times, and monitor work step sequences. This innovative approach ensures that your team is always equipped with the latest data to drive operational excellence.
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Google Cloud Vision AI
Harness the power of AutoML Vision or leverage pre-trained Vision API models to extract meaningful insights from images stored in the cloud or at the network's edge, allowing for emotion detection, text interpretation, and much more. Google Cloud presents two advanced computer vision solutions that utilize machine learning to provide top-notch prediction accuracy for image analysis. You can streamline the creation of bespoke machine learning models by simply uploading your images, using AutoML Vision's intuitive graphical interface to train these models, and fine-tuning them for optimal performance in terms of accuracy, latency, and size. Once perfected, these models can be seamlessly exported for use in cloud applications or on various edge devices. Additionally, Google Cloud’s Vision API grants access to robust pre-trained machine learning models via REST and RPC APIs. You can easily assign labels to images, categorize them into millions of pre-existing classifications, identify objects and faces, interpret both printed and handwritten text, and enhance your image catalog with rich metadata for deeper insights. This combination of tools not only simplifies the image analysis process but also empowers businesses to make data-driven decisions more effectively.
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