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Warehouses & Modeling

Tools in Warehouses & Modeling

111 tools

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  16. WorkFlowy

    WorkFlowy allows you to create expandable and zoomable lists and notes in a hierarchical manner, making it easy to organize ideas and projects large or small, with quick search, tags, and links between different points.

  17. GNN

    The Graph-based Supply Prediction (GSP) model offers an advanced approach that uses a Graph Neural Network with attention mechanism to probabilistically predict supply, inventory, and gaps in complex supply chain networks, based on historical demand data, supply plan, and network structural data. The model aims to optimize supply planning and minimize excess or short inventory, taking into account the effects of sequential delays and node interactions within the network. Demonstrated on data from a global consumer goods company, the model improves the accuracy of supply and inventory forecasting, and integrates demand and supply forecasting to provide an actionable and realistic plan. The model automates forecasting and gaps between supply and inventory, and can be integrated into supply chain planning systems to provide automatic recommendations on adjusting supply plans efficiently and effectively.

  18. Micro Saint Sharp

    Micro Saint Sharp is an advanced Discrete-Event Simulation & Human Performance Modeling tool that provides a flexible environment for building models using Task Network and C# within the .NET framework. The tool enables the development of simulations for complex systems including manufacturing, hospitals, call centers, transportation, and more, with support for probability distributions to accurately determine task execution times, helping to analyze performance and optimize processes before real-world implementation.

  19. RapidResponse

    Kinaxis - RapidResponse is an advanced cloud-based Supply Chain Planning & Decision Intelligence (SCP&DI) platform that allows companies to implement Concurrent Planning. The platform enables organizations to simulate "what-if" scenarios and analyze the impact of changes in demand, supply, manufacturing, and inventory in real-time, enhancing the ability to quickly adapt to market fluctuations. The platform provides intelligent insights across Planning.AI, Demand.AI, and Supply.AI modules to improve forecast accuracy and accelerate strategic and operational decision-making.

  20. Digital Brain Platform

    Digital Brain Platform is an advanced AI-powered Integrated Business Planning & Decision Intelligence platform. It provides a unified environment that connects demand forecasting, operational planning, inventory management, pricing, and financial planning within an integrated system. It is based on the Graph-Knowledge model to create a unified digital representation of the business (Digital Twin), enabling organizations to analyze different scenarios and make smart and effective strategic decisions, while enhancing coordination between all business departments and improving organizational performance.

  21. Logility – Digital Supply Chain Platform

    Logility - Digital Supply Chain Platform is an end-to-end cloud-based supply chain planning platform, powered by AI and machine learning, that includes demand planning, inventory management, sourcing, fulfillment, and network analysis. The platform enables demand forecasting and optimization of inventory levels across multiple layers, with a GenAI conversational interface for intelligent supply chain insights. According to user experience, the tool provides flexible forecasting and inventory management optimization with DemandAI+ and InventoryAI+, producing realistic plans aligned with performance indicators, and solving complex distribution and inventory issues with high efficiency. It also supports real-time response to orders, optimizes material flow, reduces waste, and enables rapid adaptation to market changes with advanced proactive network analytics.

  22. Logility

    Logility is a cloud-based, SaaS-based Supply Chain Planning platform that uses Artificial Intelligence (AI) and Machine Learning (ML) to deliver predictive insights and process improvements.