Best AI tools for< Demand Forecasting >

FareTrack is an AI-driven data intelligence solution tailored for the modern air travel industry. It offers accurate, timely, and actionable insights for airline revenue management, distribution, and network operations teams. By leveraging advanced AI technology, FareTrack empowers clients with competitive fare tracking, ancillary pricing insights, open pricing monitoring, and price rank value optimization. The platform also provides comprehensive travel data solutions beyond airfare, including tax breakdowns, historical fare analysis, and trend analysis. With customizable dashboards and API integration, FareTrack enables users to make informed decisions swiftly and stay ahead in the dynamic world of air travel.

ToolsGroup is an AI-powered supply chain and retail planning application that helps retailers, distributors, and manufacturers enhance the resilience and performance of their operations. Leveraging AI and real-time data, ToolsGroup offers probabilistic planning solutions for demand forecasting, inventory optimization, replenishment, assortment planning, and more. The application automates manual tasks, guides smarter decisions with AI, and delivers outstanding customer experiences with real-time visibility across the enterprise.

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.

Supply Chain Intelligence is an AI application that offers a comprehensive suite of tools for supply chain management. It provides advanced demand forecasting capabilities, digitization guidance, AI forecast model creation, forecasting segmentation, and assessment of demand forecasting process maturity. The application aims to streamline supply chain operations, enhance decision-making, and optimize planning processes through the use of artificial intelligence technologies.

RELEX Solutions is a market-leading supply chain and retail planning platform that leverages artificial intelligence to revolutionize supply chains. The platform offers end-to-end inventory planning, production scheduling, demand forecasting, merchandising, assortment planning, price optimization, promotion planning, and more. RELEX enables retailers and consumer goods companies to align their supply chain and retail operations with actual demand, driving profitability through increased sales and reduced costs while minimizing waste. The platform caters to various industries such as retail, convenience, electronics, grocery, health, beauty, pharmaceutical, and more, providing tailored solutions for each sector.

Lily AI is an e-commerce product discovery platform that helps brands increase sales and improve customer experience. It uses artificial intelligence to understand the language of customers and inject it across the retail ecosystem, from search to recommendations to demand forecasting. Lily AI's platform is purpose-built for retail and turns qualitative product attributes into a universal, customer-centered mathematical language with unprecedented accuracy. This results in a depth and scale of attribution that no other solution can match.

Fusemachines is an AI company that offers AI products and solutions to democratize AI. Their AI Studio platform provides various AI engines for different use cases, such as GenAI Engines for predictive analytics and Fraud Detection, Forecast AI for demand forecasting, and more. The company aims to empower enterprises with tailored AI solutions and seamless integration of tools to enhance value across specific industries like Retail, Healthcare, Technology, Banking & Insurance, and Media & Entertainment.

Inventory365 is a leading AI-powered platform for inventory management and growth, empowering modern product sellers to excel by seamlessly linking all sales channels and automating end-to-end order processing. The platform leverages machine learning, connected processes, and heightened visibility across sales, operations, forecasting, supply, replenishment, and inventory functions to adapt to shifting demand. Inventory365 offers features such as multichannel integration, order management, real-time inventory visibility, warehouse management, reporting and analytics, multi-price/multi-currency options, price comparison, demand prediction, and an AI assistant with real-time chat.

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.

RideAI is an innovative AI tool designed to enhance the experience of ride-sharing services. By leveraging advanced artificial intelligence algorithms, RideAI optimizes routes, predicts demand, and improves overall efficiency for both drivers and passengers. With real-time data analysis and smart decision-making capabilities, RideAI aims to revolutionize the ride-sharing industry by providing a seamless and convenient transportation solution.

Mazaal AI is an end-to-end no-code AI platform that empowers businesses to boost their workforce with AI automation. The platform allows users to transform data into powerful AI solutions without the need for coding. With a focus on pre-trained models and seamless integration, Mazaal AI helps businesses optimize production, manage inventory effectively, predict future demand accurately, and enhance customer satisfaction.

Lily AI is an e-commerce product discovery platform that helps brands increase sales and improve customer experience. It uses artificial intelligence to understand the language of customers and inject it across the retail ecosystem, from search to recommendations to demand forecasting. This helps retailers connect customers with the relevant products they're looking for, boost product discovery and conversion, and increase traffic, conversion, revenue, and brand loyalty.

Couture.ai is an AI-as-a-service platform that specializes in hyper-scale AI for tailored retail experiences. The platform assists global online retailers and fashion brands in personalizing customer experiences through prediction technology. Couture.ai offers cutting-edge solutions such as Virtual TryOn for visualizing products before purchase, Demand & Assortment Forecasting for inventory management, Live Search for semantic search solutions, and Obelisk Experience Engine for behavior insights-driven tailored experiences across various platforms. The platform aims to elevate customer experiences and optimize business outcomes through AI-driven solutions.

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.

Hypersonix is a leading generative AI platform for commerce, offering ProfitGPT and various AI solutions such as Competitor AI, Forecasting AI, Promo AI, and Inventory AI. It provides advanced algorithms to help retailers and DTC brands grow market share, maximize product margins, and make data-driven decisions. Hypersonix empowers users with real-time insights, automation, and optimization tools to enhance profitability and competitiveness in the retail industry.

Refabric is an AI-powered design platform at the intersection of AI and fashion design. It offers innovative solutions for the fashion industry by leveraging advanced technologies such as machine learning and data analytics. Refabric helps fashion retailers achieve carbon neutrality, adhere to environmental standards, and transform the way fashion is designed, produced, and consumed. The platform provides trend forecasting, creative support, and sustainability solutions to address the evolving challenges in the global fashion industry.

The Predict API is a powerful tool that allows you to forecast your data with simplicity and accuracy. It uses the latest advancements in stochastic modeling and machine learning to provide you with reliable projections. The API is easy to use and can be integrated with any application. It is also highly scalable, so you can use it to forecast large datasets. With the Predict API, you can gain valuable insights into your data and make better decisions.

Demand.io is a network of AI-driven, community-centric e-commerce applications that create social shopping experiences powered by artificial intelligence. The platform aims to help consumers shop smarter, save money, and connect with their passions by curating accurate e-commerce knowledge and delivering it through digital consumer apps and AI experiences. Demand.io leverages AI, decentralized community principles, and advanced engineering to solve complex problems and provide differentiated user value in the evolving landscape of e-commerce.

Sojern is a travel marketing platform that provides solutions for hotels, destinations, attractions, and airlines. It offers a range of features to help businesses target their ideal travelers with unmatched precision and efficiency. Sojern's AI-powered technology helps marketers understand traveler buying behavior, identify and attract intelligent audiences, activate and convert customers across multiple channels, and engage and delight guests throughout their journey. With Sojern, businesses can boost growth and profitability, find and understand unrivaled traveler insights, identify and attract intelligent audiences, activate and convert customers through multichannel activation and optimization, and engage and delight guests with connected guest experiences.

Sojern is a travel marketing platform that provides data-driven solutions to help businesses in the travel industry reach and engage their target audience. The platform offers a range of features, including audience segmentation, campaign optimization, and performance tracking. Sojern's AI-powered technology helps businesses make informed decisions about their marketing campaigns and maximize their return on investment.

Chronos is a family of pretrained time series forecasting models based on language model architectures. A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cross-entropy loss. Once trained, probabilistic forecasts are obtained by sampling multiple future trajectories given the historical context. Chronos models have been trained on a large corpus of publicly available time series data, as well as synthetic data generated using Gaussian processes.

Upgini is an intelligent data search engine with a Python library that helps users find and add relevant features to their ML pipeline from various public, community, and premium external data sources. It automates the optimization of connected data sources by generating an optimal set of machine learning features using large language models, GraphNNs, and recurrent neural networks. The tool aims to simplify feature search and enrichment for external data to make it a standard approach in machine learning pipelines. It democratizes access to data sources for the data science community.

Nixtla is a production-ready generative pretrained transformer for time series forecasting and anomaly detection. It can accurately predict various domains such as retail, electricity, finance, and IoT with just a few lines of code. TimeGPT introduces a paradigm shift with its standout performance, efficiency, and simplicity, making it accessible even to users with minimal coding experience. The model is based on self-attention and is independently trained on a vast time series dataset to minimize forecasting error. It offers features like zero-shot inference, fine-tuning, API access, adding exogenous variables, multiple series forecasting, custom loss function, cross-validation, prediction intervals, and handling irregular timestamps.

The 'ai-dev-2024-ml-workshop' repository contains materials for the Deploy and Monitor ML Pipelines workshop at the AI_dev 2024 conference in Paris, focusing on deployment designs of machine learning pipelines using open-source applications and free-tier tools. It demonstrates automating data refresh and forecasting using GitHub Actions and Docker, monitoring with MLflow and YData Profiling, and setting up a monitoring dashboard with Quarto doc on GitHub Pages.

PyTorch Forecasting is a PyTorch-based package for time series forecasting with state-of-the-art network architectures. It offers a high-level API for training networks on pandas data frames and utilizes PyTorch Lightning for scalable training on GPUs and CPUs. The package aims to simplify time series forecasting with neural networks by providing a flexible API for professionals and default settings for beginners. It includes a timeseries dataset class, base model class, multiple neural network architectures, multi-horizon timeseries metrics, and hyperparameter tuning with optuna. PyTorch Forecasting is built on pytorch-lightning for easy training on various hardware configurations.

AIDE is a machine learning code generation agent that can generate solutions for machine learning tasks from natural language descriptions. It has the following features: 1. **Instruct with Natural Language**: Describe your problem or additional requirements and expert insights, all in natural language. 2. **Deliver Solution in Source Code**: AIDE will generate Python scripts for the **tested** machine learning pipeline. Enjoy full transparency, reproducibility, and the freedom to further improve the source code! 3. **Iterative Optimization**: AIDE iteratively runs, debugs, evaluates, and improves the ML code, all by itself. 4. **Visualization**: We also provide tools to visualize the solution tree produced by AIDE for a better understanding of its experimentation process. This gives you insights not only about what works but also what doesn't. AIDE has been benchmarked on over 60 Kaggle data science competitions and has demonstrated impressive performance, surpassing 50% of Kaggle participants on average. It is particularly well-suited for tasks that require complex data preprocessing, feature engineering, and model selection.

The Vertex AI SDK for Python is a library that provides a convenient way to use the Vertex AI API. It offers a high-level interface for creating and managing Vertex AI resources, such as datasets, models, and endpoints. The SDK also provides support for training and deploying custom models, as well as using AutoML models. With the Vertex AI SDK for Python, you can quickly and easily build and deploy machine learning models on Vertex AI.

Time-LLM is a reprogramming framework that repurposes large language models (LLMs) for time series forecasting. It allows users to treat time series analysis as a 'language task' and effectively leverage pre-trained LLMs for forecasting. The framework involves reprogramming time series data into text representations and providing declarative prompts to guide the LLM reasoning process. Time-LLM supports various backbone models such as Llama-7B, GPT-2, and BERT, offering flexibility in model selection. The tool provides a general framework for repurposing language models for time series forecasting tasks.

Flyte is an open-source orchestrator that facilitates building production-grade data and ML pipelines. It is built for scalability and reproducibility, leveraging Kubernetes as its underlying platform. With Flyte, user teams can construct pipelines using the Python SDK, and seamlessly deploy them on both cloud and on-premises environments, enabling distributed processing and efficient resource utilization.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

Azure HPC On-Demand Platform (az-hop) provides an end-to-end deployment mechanism for a base HPC infrastructure on Azure. It delivers a complete HPC cluster solution ready for users to run applications, which is easy to deploy and manage for HPC administrators. az-hop leverages various Azure building blocks and can be used as-is or easily customized and extended to meet any uncovered requirements. Industry-standard tools like Terraform, Ansible, and Packer are used to provision and configure this environment, which contains: - An HPC OnDemand Portal for all user access, remote shell access, remote visualization access, job submission, file access, and more - An Active Directory for user authentication and domain control - Open PBS or SLURM as a Job Scheduler - Dynamic resources provisioning and autoscaling is done by Azure CycleCloud pre-configured job queues and integrated health-checks to quickly avoid non-optimal nodes - A Jumpbox to provide admin access - A common shared file system for home directory and applications is delivered by Azure Netapp Files - Grafana dashboards to monitor your cluster - Remote Visualization with noVNC and GPU acceleration with VirtualGL

The Modal Python library provides convenient, on-demand access to serverless cloud compute from Python scripts on your local computer. It allows users to easily integrate serverless cloud computing into their Python scripts, providing a seamless experience for accessing cloud resources. The library simplifies the process of interacting with cloud services, enabling developers to focus on their applications' logic rather than infrastructure management. With detailed documentation and support available through the Modal Slack channel, users can quickly get started and leverage the power of serverless computing in their projects.

This solution showcases how to summarize a large corpus of documents using Generative AI. It provides an end-to-end demonstration of document summarization going all the way from raw documents, detecting text in the documents and summarizing the documents on-demand using Vertex AI LLM APIs, Cloud Vision Optical Character Recognition (OCR) and BigQuery.

Intel® Extension for TensorFlow* is a high performance deep learning extension plugin based on TensorFlow PluggableDevice interface. It aims to accelerate AI workloads by allowing users to plug Intel CPU or GPU devices into TensorFlow on-demand, exposing the computing power inside Intel's hardware. The extension provides XPU specific implementation, kernels & operators, graph optimizer, device runtime, XPU configuration management, XPU backend selection, and options for turning on/off advanced features.

GigaChat is a Python library that allows GigaChain to interact with GigaChat, a neural network model capable of engaging in dialogue, writing code, creating texts, and images on demand. Data exchange with the service is facilitated through the GigaChat API. The library supports processing token streaming, as well as working in synchronous or asynchronous mode. It enables precise token counting in text using the GigaChat API.

Backend.AI is a streamlined, container-based computing cluster platform that hosts popular computing/ML frameworks and diverse programming languages, with pluggable heterogeneous accelerator support including CUDA GPU, ROCm GPU, TPU, IPU and other NPUs. It allocates and isolates the underlying computing resources for multi-tenant computation sessions on-demand or in batches with customizable job schedulers with its own orchestrator. All its functions are exposed as REST/GraphQL/WebSocket APIs.

ToolMate AI is an advanced AI companion that integrates agents, tools, and plugins to excel in conversations, generative work, and task execution. It supports multi-step actions, allowing users to customize workflows for tackling complex projects with ease. The tool offers a wide range of AI backends and models, including Ollama, Llama.cpp, Groq Cloud API, OpenAI API, and Google Gemini via Vertex AI. Users can easily switch between backends and leverage AI models like wizardlm2 and mixtral. ToolMate AI stands out for its distinctive features such as tool calling for any LLMs, running multiple tools in one go, highly customizable plugins, and integration with popular AI tools. It also supports quick tool calling using '@' notation and enables the execution of computing tasks on demand. With features like multiple tools in one go, customizable plugins, system command and fabric integration, GPU offloading support, real-time data access, and device information retrieval, ToolMate AI offers a comprehensive solution for various tasks and content creation.

预测：方法与实践（第三版） Rob J Hyndman 和 George Athanasopoulos 澳大利亚莫纳什大学

Bilingual trend forecasting expert for restaurants.

Prophet model expert, professional yet approachable, seeks clarification

A question ? Ask me for a prediction ... ( /help for help )

Analytical helper for identifying data patterns and trends

Advanced predictive analysis tool

专业预测师，基于用户数据提供预测反馈。

Your go-to guide for starting a Print on Demand store with Printful and Shopify.

Creates print on demand designs, titles, and keywords

Conversational Print on Demand (POD) expert for new and experienced users.

Upload a court judgment and get back a collection of topical case digests based on the case. Oh - don't trust the "Topic 2210" or similar number, it's random. Also, probably best you not fully trust the output either. We're just playing with the GPT maker. More about us at Jurisage.com.

Structures Amazon Merch on Demand listings with SEO-optimized, focusing on design appeal and marketability. Upload design to begin.

Innovates digital, AI-driven product ideas in marketplace style.

Print on Demand customer service assistant

An on-demand SEO that helps you draft and improve your content, while coaching you to become an elite SEO.

Your on-demand poker advisor to help clarify rules, suggest games, offer advice, and more!

An on-demand creator of trendy, Instagram-worthy fashion photos.

Expert coach for print-on-demand ecommerce strategies

An on-demand Chief Product Officer that drafts and improves your PRDs, while coaching you to become an elite product manager. The best product copilot for PMs & engineers. Visit 👉 chatprd.ai for pro features

Your DR Marketing Expert On Demand