Best AI tools for< Logistic >

The Intelligent Logistics Platform, Raft, is an AI-powered workflow automation tool designed for freight forwarders and customs brokers. It streamlines various logistics processes such as finance, customs, and operations by leveraging AI technology to enhance efficiency, accuracy, and customer value throughout the shipment lifecycle. Raft combines cutting-edge AI advancements with a vast amount of supply-chain specific data to provide users with a comprehensive platform for managing logistics operations.

Transmetrics is an AI-powered logistics planning platform that helps businesses optimize their supply chain and logistics operations. It provides a range of features, including data analytics, forecasting, optimization, and asset management. Transmetrics helps businesses improve their capacity utilization, reduce costs, and increase efficiency.

Reform is a modern logistics software development platform that provides pre-built modules and AI capabilities to help teams build logistics applications quickly and efficiently. It offers features such as document AI for automating data capture, universal TMS integrations for seamless connectivity, embeddable customer dashboards for real-time data visibility, and more.

Vorto is a transformative supply chain automation platform that aims to revolutionize supply chain management for a sustainable future. By leveraging AI technology, Vorto optimizes supply chain operations, increases efficiency, reduces costs, and minimizes environmental impact. The platform offers predictive capabilities, automates decision-making processes, and enhances visibility and collaboration among buyers, suppliers, and logistics providers. Vorto is designed to address the challenges faced by modern supply chains, such as driver shortages, supply chain disruptions, and rising costs, by providing innovative solutions that drive growth and profitability.

Ambi Robotics is an AI-powered robotics company that offers solutions for parcel sortation. Their innovative technology combines hardware and software to empower people to handle more efficiently. With solutions like AmbiSort A-Series and AmbiSort B-Series, they provide AI-powered robotic small parcel sorting and modular parcel induction and sorting systems. Ambi Robotics focuses on enhancing efficiency, scaling seamlessly, and delivering customer-centered experiences. Their technology includes Sim2Real AI Robot dexterity for real-world simulation and intelligent gripper technology for precise pick-and-place capabilities. The company aims to optimize facility performance, maximize sorting accuracy, and boost efficiency with reliable uptime. Ambi Robotics is dedicated to providing solutions that are easy to deploy, powerful, and seamlessly integrate with existing workflows.

Kudra is an AI-powered data extraction tool that offers dedicated solutions for finance, human resources, logistics, legal, and more. It effortlessly extracts critical data fields, tables, relationships, and summaries from various documents, transforming unstructured data into actionable insights. Kudra provides customizable AI models, seamless integrations, and secure document processing while supporting over 20 languages. With features like custom workflows, model training, API integration, and workflow builder, Kudra aims to streamline document processing for businesses of all sizes.

LogicLoop is an all-in-one operations automation platform that allows users to set up alerts and automations on top of their data. It is designed to help businesses monitor their operations, identify risks, and take action to prevent problems. LogicLoop can be used by businesses of all sizes and industries, and it is particularly well-suited for businesses that are looking to improve their efficiency and reduce their risk.

Samsara is a leading provider of Connected Operations™ technology that connects people, systems, and data to give businesses visibility into every area of their operations. Samsara's platform includes a suite of products that help businesses improve safety, efficiency, and sustainability. Samsara's AI-powered video safety solutions provide real-time visibility into fleet operations, helping businesses to prevent accidents and protect their workforce. Samsara's fleet management solutions provide performance insights, asset protection, and live tracking for improved fleet productivity. Samsara's apps and workflows solutions provide customized driver experiences, real-time dispatch data, and streamlined ELD compliance. Samsara's site visibility solutions provide remote visibility, proactive alerting, and on-the-go access to data from remote sites.

Windward is a Decision Support Platform that empowers organizations with actionable Maritime AI insights and Organization Defined Risk tailored to optimize operational readiness and supply chain risk management. It provides innovative AI models, daily vessel activities monitoring, and predictive risk insights for various industries such as trading, shipping, supply chain, logistics, government, and public sector. Windward offers a holistic view of maritime risk by fusing multiple data sources and applying advanced machine learning models. The platform helps in vessel screening, business growth, exception insights, and predictive risk insights.

Seekho is an AI-driven upskilling platform that offers a comprehensive learning experience through online courses, workshops, quizzes, and projects. It provides personalized roadmaps to help users achieve their dream jobs by offering unlimited access to content and a strong community. Seekho also offers AI tools such as AI Tutor, InterviewPro, Resume Checker, and Resume Builder to assist users at various stages of their job hunt journey. The platform aims to empower individuals with practical skills and industry-relevant knowledge to succeed in their careers.

Azoo is an AI-powered platform that offers a wide range of services in various categories such as logistics, animal, consumer commerce, real estate, law, and finance. It provides tools for data analysis, event management, and guides for users. The platform is designed to streamline processes, enhance decision-making, and improve efficiency in different industries. Azoo is developed by Cubig Corp., a company based in Seoul, South Korea, and aims to revolutionize the way businesses operate through innovative AI solutions.

Pathway is an AI-powered route optimization application that helps businesses and individuals find the optimal travel paths. It offers advanced algorithms to analyze various factors like traffic conditions, delivery windows, and resource capacities to generate efficient routes. The application is designed to optimize delivery routes for fleets, improve ride-sharing services, enhance public transportation planning, and provide fast routing for emergency services. Pathway aims to reduce costs, minimize travel time, improve resource allocation, and enhance overall efficiency for users.

Hubert is a conversational AI platform designed to revolutionize the recruitment process by automating candidate screening and shortlisting. It offers a modern approach to traditional CV screening, saving time, promoting fairness, and enhancing candidate experience. With Hubert, recruiters can streamline their workflow, eliminate bias, engage candidates effectively, and scale recruitment efforts efficiently. The platform is built on structured interviews and AI technology to identify top candidates accurately and quickly. Hubert is integrated with popular ATS systems and caters to various industries, ensuring a seamless and personalized recruitment experience.

Figure is a pioneering AI robotics company that is revolutionizing the global workforce by introducing the world's first commercially-viable autonomous humanoid robot. By combining cutting-edge AI technology with the dexterity of the human form, Figure aims to enhance human capabilities, address labor shortages, and improve workplace safety. The company's innovative approach is reshaping industries such as manufacturing, logistics, warehousing, and retail, offering a glimpse into the future of AI-driven robotics.

Parade is a capacity management platform designed for freight brokerages and 3PLs to streamline operations, automate bookings, and improve margins. The platform leverages advanced AI to optimize pricing, bidding, and carrier management, helping users book more loads efficiently. Parade integrates seamlessly with existing tech stacks, offering precise pricing, optimized bidding, and enhanced shipper connectivity. The platform boasts a range of features and benefits aimed at increasing efficiency, reducing costs, and boosting margins for freight businesses.

Kinaxis is an AI-powered platform that offers end-to-end supply chain orchestration solutions for businesses. It helps companies respond with agility by coordinating all parts of the supply chain using artificial intelligence. With features like transparency, collaboration, adaptability, and intelligence, Kinaxis enables users to make faster, smarter, and more confident decisions. The platform offers solutions for supply chain control tower, S&OP, demand planning, inventory management, scheduling, order management, transportation, and returns management. Kinaxis is designed to streamline operations, improve efficiency, and drive sustainable supply chain practices.

ThroughPut AI is a supply chain decision intelligence and analytics platform designed for outcome-driven supply chain decision-makers. It provides accurate demand forecasting, capacity planning, logistics management, and financial insights to drive business results. ThroughPut AI offers a single source of truth for supply chain professionals, enabling them to make faster, better, and confident decisions. The platform helps unlock efficiency, profitability, and growth in day-to-day operations by providing intelligent data-driven recommendations.

CommodityAI is a web-based platform that uses AI, automation, and collaboration tools to help businesses manage their commodity shipments and supply chains more efficiently. The platform offers a range of features, including shipment management automation, intelligent document processing, stakeholder collaboration, and supply-chain automation. CommodityAI can help businesses improve data accuracy, eliminate manual processes, and streamline communication and collaboration. The platform is designed for the commodities industry and offers commodity-specific automations, ERP integration, and AI-powered insights.

AizenFlow is a sales and automation platform designed to simplify supply chains and facilitate relationships between small and medium-sized 3PLs, shippers, and carriers across the US, Mexico, and Canada. It offers advanced features such as carrier identity verification, AI-powered semantic search, and fraud prevention to streamline freight operations and ensure compliance. AizenFlow aims to help businesses in the freight industry reduce risk, increase efficiency, and protect their operations from fraud.

DMSLOG.Ai is an AI tool designed for Smart Port terminal optimization, decongestion, and decarbonation. It offers solutions powered by AI, machine learning, and digital twins to transform container terminals into Smart Ports, providing quick ROI, decongestion, and decarbonation. The tool is used globally on a daily basis, offering plug-and-play AI solutions for various terminal operations and carbon footprint monitoring.

This repository provides resources and materials for learning fundamental mathematical concepts essential for artificial intelligence, including linear algebra, calculus, and LaTeX. It includes lecture notes, video playlists, books, and practical sessions to help users grasp key concepts. The repository aims to equip individuals with the necessary mathematical foundation to excel in machine learning and AI-related fields.

This repository contains slides, notebooks, and data for the Machine Learning University (MLU) Responsible AI class. The mission is to make Machine Learning accessible to everyone, covering widely used ML techniques and applying them to real-world problems. The class includes lectures, final projects, and interactive visuals to help users learn about Responsible AI and core ML concepts.

Deep Chat is a fully customizable AI chat component that can be injected into your website with minimal to no effort. Whether you want to create a chatbot that leverages popular APIs such as ChatGPT or connect to your own custom service, this component can do it all! Explore deepchat.dev to view all of the available features, how to use them, examples and more!

The Everything-LLMs-And-Robotics repository is the world's largest GitHub repository focusing on the intersection of Large Language Models (LLMs) and Robotics. It provides educational resources, research papers, project demos, and Twitter threads related to LLMs, Robotics, and their combination. The repository covers topics such as reasoning, planning, manipulation, instructions and navigation, simulation frameworks, perception, and more, showcasing the latest advancements in the field.

Fastc is a tool focused on CPU execution, using efficient models for embedding generation and cosine similarity classification. It allows for efficient multi-classifier execution without extra overhead. Users can easily train text classifiers, export models, publish to HuggingFace, load existing models, make class predictions, use instruct templates, and launch an inference server. The tool provides an HTTP API for text classification with JSON payloads and supports multiple languages for language identification.

This repository provides a Python implementation of a method that leverages pre-trained large language models to construct and utilize world models for model-based task planning. It includes scripts to generate domain models using natural language descriptions, correct domain models based on feedback, and support plan generation for tasks in different domains. The code has been refactored for better readability and includes tools for validating PDDL syntax and handling corrective feedback.

This repository contains Jupyter-based tutorials for NLP, ML, AI in Python for classes in Computational Linguistics, Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) at Indiana University.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

NNtrainer is a software framework for training neural network models on devices with limited resources. It enables on-device fine-tuning of neural networks using user data for personalization. NNtrainer supports various machine learning algorithms and provides examples for tasks such as few-shot learning, ResNet, VGG, and product rating. It is optimized for embedded devices and utilizes CBLAS and CUBLAS for accelerated calculations. NNtrainer is open source and released under the Apache License version 2.0.

The 100 Days in AI repository provides a comprehensive roadmap for individuals to learn Artificial Intelligence over a period of 100 days. It covers topics ranging from basic programming in Python to advanced concepts in AI, including machine learning, deep learning, and specialized AI topics. The repository includes daily tasks, resources, and exercises to ensure a structured learning experience. By following this roadmap, users can gain a solid understanding of AI and be prepared to work on real-world AI projects.

Smile (Statistical Machine Intelligence and Learning Engine) is a comprehensive machine learning, NLP, linear algebra, graph, interpolation, and visualization system in Java and Scala. It covers every aspect of machine learning, including classification, regression, clustering, association rule mining, feature selection, manifold learning, multidimensional scaling, genetic algorithms, missing value imputation, efficient nearest neighbor search, etc. Smile implements major machine learning algorithms and provides interactive shells for Java, Scala, and Kotlin. It supports model serialization, data visualization using SmilePlot and declarative approach, and offers a gallery showcasing various algorithms and visualizations.

Streamline Analyst is a cutting-edge, open-source application powered by Large Language Models (LLMs) designed to revolutionize data analysis. This Data Analysis Agent effortlessly automates tasks such as data cleaning, preprocessing, and complex operations like identifying target objects, partitioning test sets, and selecting the best-fit models based on your data. With Streamline Analyst, results visualization and evaluation become seamless. It aims to expedite the data analysis process, making it accessible to all, regardless of their expertise in data analysis. The tool is built to empower users to process data and achieve high-quality visualizations with unparalleled efficiency, and to execute high-performance modeling with the best strategies. Future enhancements include Natural Language Processing (NLP), neural networks, and object detection utilizing YOLO, broadening its capabilities to meet diverse data analysis needs.

This repository is a part of the 13th iT Help Ironman competition, focusing on exploring explainable artificial intelligence (XAI) in machine learning and deep learning. The content covers the basics of XAI, its applications, cases, challenges, and future directions. It also includes practical machine learning algorithms, model deployment, and integration concepts. The author aims to provide detailed resources on AI and share knowledge with the audience through this competition.

Holistic AI is an open-source library dedicated to assessing and improving the trustworthiness of AI systems. It focuses on measuring and mitigating bias, explainability, robustness, security, and efficacy in AI models. The tool provides comprehensive metrics, mitigation techniques, a user-friendly interface, and visualization tools to enhance AI system trustworthiness. It offers documentation, tutorials, and detailed installation instructions for easy integration into existing workflows.

AgroTech AI platform is a comprehensive web-based tool where users can access various machine learning models for making accurate predictions related to agriculture. It offers solutions for crop management, soil health assessment, pest control, and more. The platform implements machine learning algorithms to provide functionalities like fertilizer prediction, crop prediction, soil quality prediction, yield prediction, and mushroom edibility prediction.

MLflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. MLflow offers a set of lightweight APIs that can be used with any existing machine learning application or library (TensorFlow, PyTorch, XGBoost, etc), wherever you currently run ML code (e.g. in notebooks, standalone applications or the cloud). MLflow's current components are: * `MLflow Tracking `_: An API to log parameters, code, and results in machine learning experiments and compare them using an interactive UI. * `MLflow Projects `_: A code packaging format for reproducible runs using Conda and Docker, so you can share your ML code with others. * `MLflow Models `_: A model packaging format and tools that let you easily deploy the same model (from any ML library) to batch and real-time scoring on platforms such as Docker, Apache Spark, Azure ML and AWS SageMaker. * `MLflow Model Registry `_: A centralized model store, set of APIs, and UI, to collaboratively manage the full lifecycle of MLflow Models.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

The LLM course is divided into three parts: 1. 🧩 **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. 🧑‍🔬 **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. 👷 **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * 🤗 **HuggingChat Assistant**: Free version using Mixtral-8x7B. * 🤖 **ChatGPT Assistant**: Requires a premium account. ## 📝 Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | 🧐 LLM AutoEval | Automatically evaluate your LLMs using RunPod |  | | 🥱 LazyMergekit | Easily merge models using MergeKit in one click. |  | | 🦎 LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. |  | | ⚡ AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. |  | | 🌳 Model Family Tree | Visualize the family tree of merged models. |  | | 🚀 ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. |  |

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

SAP Logistics expert with a focus on data analysis, project management, and accurate information.

A knowledgeable and patient teacher in logistics, offering insights and guidance.

Tracks and discusses logistics industry acquisitions.

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Logae, empresa de tecnologia para logistica

Advanced AI for logistics facts and best shipping practices.

Worldwide expert in trade logistics and regulations.

Import Export Compliance | Tariff Classification | Shipping Queries | Logistics & Supply Chain Solutions

Informs about freight, cargo movement, and commerce logistics.

Strategically aligns financial, logistical, and operational approaches, weaving innovative solutions into complex software development landscapes.

Upload an image of a statistical analysis and we'll interpret the results: linear regression, logistic regression, ANOVA, cluster analysis, MDS, factor analysis, and many more

跨境物流翻译专家

Expert in global parcel delivery and customs, brought to you by ParcelBroker.co.uk

Accurate real-time global package tracker.

JE VEUT UNE AIDE POU TROUVER DES COLIS POUR REVENDRE DES COLIS DE VENTE AUX ENCHERE OU COLIS PERDU

An AI assistant for CCA, a supply chain technology company that focuses on providing digital drayage platform and TMS solution to our importer customers and carrier partners

Ask questions about Traccar GPS tracking system

As-soon-as-possible delivery and service solutions.

First attach the rules and then ask!

Friendly GPT for optimizing delivery routes, asks for clarifications.