Best AI tools for< Forecast Inventory Needs >

Alloy.ai is an omnichannel revenue intelligence platform for consumer brands that helps visualize and analyze sales, supply chain, and forecasting data with full visibility into consumer demand and inventory. The platform connects real-time POS and inventory data from hundreds of retailers, providing a single view of sales and inventory. Alloy.ai uses AI and ML to identify new sales opportunities and potential problems, offering a normalized view of business data for better decision-making.

Arlunai is an AI-powered platform that offers a wide range of tools and applications for various industries. It utilizes advanced artificial intelligence algorithms to provide users with intelligent solutions for their specific needs. With a user-friendly interface and cutting-edge technology, Arlunai aims to streamline processes, enhance productivity, and drive innovation across different sectors.

Sell The Trend is an all-in-one AI-powered dropshipping software that provides users with the tools they need to find winning products, connect with quality suppliers, create high-converting product pages, simplify store management, and promote and grow their store. With Sell The Trend, users can access a database of over 7.32 million products across 83 popular dropshipping niches, get detailed information on product performance, and use predictive AI technology to forecast the success of new products. Sell The Trend also offers a range of tools to help users create high-converting product pages, manage their inventory and orders, and promote their store on social media. With Sell The Trend, users can streamline their dropshipping operations and increase their chances of success.

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.

Prediko is an AI inventory management and planner designed specifically for Shopify brands. It offers AI-assisted demand planning, supply planning, insights, analytics, raw materials management, and purchase order management. With 40+ integrations, Prediko helps businesses track and manage their inventory efficiently, make accurate forecasts, and optimize stock replenishment. The platform aims to streamline inventory operations, eliminate out-of-stock situations, and enhance overall productivity for Shopify brands.

Inventoro is a smart inventory forecasting and replenishment tool that helps businesses optimize their inventory management processes. By analyzing past sales data, the tool predicts future sales, recommends order quantities, reduces inventory size, identifies profitable inventory items, and ensures customer satisfaction by avoiding stockouts. Inventoro offers features such as sales forecasting, product segmentation, replenishment, system integration, and forecast automations. The tool is designed to help businesses decrease inventory, increase revenue, save time, and improve product availability. It is suitable for businesses of all sizes and industries looking to streamline their inventory management operations.

WAIR is a revolutionary AI-driven digital employee platform designed for enterprise lifestyle retailers. It offers advanced solutions for inventory management, product distribution, content creation, and multilingual translation. WAIR leverages cutting-edge AI technology to optimize forecasting accuracy, reduce inventory levels, and automate supply chain processes, ultimately boosting revenue and margins for businesses.

JaanchAI is an AI-powered tool that provides valuable insights for e-commerce businesses. It utilizes artificial intelligence algorithms to analyze data and trends in the e-commerce industry, helping businesses make informed decisions to optimize their operations and increase sales. With JaanchAI, users can gain a competitive edge by leveraging advanced analytics and predictive modeling techniques tailored for the e-commerce sector.

New Horizon is an AI-powered supply chain planning software that offers a comprehensive planning suite for manufacturers, wholesalers, and retailers. It leverages AI, Machine Learning, and cloud technologies to provide better visibility into demand, accurate forecasts, and more agile supply chains. The platform features an intuitive user experience, fast implementation, and industry-specific functionality like optimized truck loading and investment buying. New Horizon aims to help companies build more resilient and responsive supply chains while maximizing productivity and adoption.

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.

MyOutlet AI is an intelligent marketplace that connects fashion brands with buyers through AI-driven demand forecasting and inventory optimization. It maximizes sales, reduces waste, and unlocks new opportunities for businesses in the fashion industry. The platform offers features such as intelligent forecasting, inventory optimization, promo strategy, weather insights, and personalized recommendations to help businesses make smarter, data-driven decisions.

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.

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.

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.

The website is a Supply Chain Intelligence platform that offers a range of technological tools and information related to supply chain management. It provides applications powered by Artificial Intelligence to assist in demand forecasting, digitization guidance, AI forecast model creation, forecasting segmentation, and assessment of demand forecasting maturity. The platform aims to streamline supply chain processes and enhance decision-making through advanced analytics and AI capabilities.

Kinaxis is an AI-infused supply chain orchestration platform that helps businesses master uncertainty and improve performance across their end-to-end supply chain. It delivers fast, intelligent, and proactive decision-making by embedding AI across the supply chain to connect data, align processes, automate actions, and learn from outcomes. Kinaxis offers solutions for supply chain orchestration, control tower, S&OP, demand planning, supply planning, inventory management, scheduling, order management, transportation, and returns management. The platform provides seamless synchronization, smart scenario modeling, adaptability, productivity enhancement, and comprehensive visibility into the supply chain.

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.

Nory is an AI-powered operating system designed for successful restaurants, offering business intelligence, inventory management, workforce optimization, payroll services, and growth funding. It helps restaurant businesses achieve consistency in operational standards and profitability across multiple venues by leveraging AI to forecast sales, plan labor deployment, and manage inventory effectively. Nory streamlines supply chain management, workforce operations, and payroll processing, ultimately leading to reduced costs, increased efficiency, and improved employee satisfaction. The platform serves as a comprehensive solution for restaurant groups looking to grow their brand and margins.

Ongil is an AI solutions provider that helps industries transform their expertise into AI solutions in a matter of weeks. By leveraging domain-optimized components, Ongil accelerates AI development by 10x, enabling businesses to deploy production-ready AI solutions. The platform offers tailored AI solutions for various industry challenges, personalized portfolio optimization, emissions estimation, supply chain intelligence, and more. Ongil's unique approach combines industry-specific components to create maintainable and scalable AI systems for enterprise production environments.

Datasparq is a specialist AI & data firm that designs, builds, and runs high-impact AI & data solutions. They help businesses at every stage of their AI journey, from value discovery to managing AI solutions. Datasparq combines data science, data engineering, product thinking, and design to deliver valuable, operational AI solutions quickly. Their focus is on creating AI tools that drive business improvements, efficiency, and effectiveness through data platforms, analytics, and machine learning.

ChatGPT Queue Prompts is a collection of prompt chains designed to enhance interactions with large language models like ChatGPT. These prompt chains help build context for the AI before performing specific tasks, improving performance. Users can copy and paste prompt chains into the ChatGPT Queue extension to process prompts in sequence. The repository includes example prompt chains for tasks like conducting AI company research, building SEO optimized blog posts, creating courses, revising resumes, enriching leads for CRM, personal finance document creation, workout and nutrition plans, marketing plans, and more.

The Microsoft AI for Earth program hosts geospatial data on Azure that is important to environmental sustainability and Earth science. This repo hosts documentation and demonstration notebooks for all the data that is managed by AI for Earth. It also serves as a "staging ground" for the Planetary Computer Data Catalog.

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.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

FinRobot is an open-source AI agent platform designed for financial applications using large language models. It transcends the scope of FinGPT, offering a comprehensive solution that integrates a diverse array of AI technologies. The platform's versatility and adaptability cater to the multifaceted needs of the financial industry. FinRobot's ecosystem is organized into four layers, including Financial AI Agents Layer, Financial LLMs Algorithms Layer, LLMOps and DataOps Layers, and Multi-source LLM Foundation Models Layer. The platform's agent workflow involves Perception, Brain, and Action modules to capture, process, and execute financial data and insights. The Smart Scheduler optimizes model diversity and selection for tasks, managed by components like Director Agent, Agent Registration, Agent Adaptor, and Task Manager. The tool provides a structured file organization with subfolders for agents, data sources, and functional modules, along with installation instructions and hands-on tutorials.

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

Awesome MCP Servers is a curated list of Model Context Protocol (MCP) servers that enable AI models to securely interact with local and remote resources through standardized server implementations. The list includes production-ready and experimental servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

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.

WeatherGFT is a physics-AI hybrid model designed to generalize weather forecasts to finer-grained temporal scales beyond the training dataset. It incorporates physical partial differential equations (PDEs) into neural networks to simulate fine-grained physical evolution and correct biases. The model achieves state-of-the-art performance in forecasting tasks at different time scales, from nowcasting to medium-range forecasts, by utilizing a lead time-aware training framework and a carefully designed PDE kernel. WeatherGFT bridges the gap between nowcast and medium-range forecast by extending forecasting abilities to predict accurately at a 30-minute time scale.

Skyrim is a weather forecasting tool that enables users to run large weather models using consumer-grade GPUs. It provides access to state-of-the-art foundational weather models through a well-maintained infrastructure. Users can forecast weather conditions, such as wind speed and direction, by running simulations on their own GPUs or using modal volume or cloud services like s3 buckets. Skyrim supports various large weather models like Graphcast, Pangu, Fourcastnet, and DLWP, with plans for future enhancements like ensemble prediction and model quantization.

DeepSparkHub is a repository that curates hundreds of application algorithms and models covering various fields in AI and general computing. It supports mainstream intelligent computing scenarios in markets such as smart cities, digital individuals, healthcare, education, communication, energy, and more. The repository provides a wide range of models for tasks such as computer vision, face detection, face recognition, instance segmentation, image generation, knowledge distillation, network pruning, object detection, 3D object detection, OCR, pose estimation, self-supervised learning, semantic segmentation, super resolution, tracking, traffic forecast, GNN, HPC, methodology, multimodal, NLP, recommendation, reinforcement learning, speech recognition, speech synthesis, and 3D reconstruction.

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.

Awesome-TimeSeries-SpatioTemporal-LM-LLM is a curated list of Large (Language) Models and Foundation Models for Temporal Data, including Time Series, Spatio-temporal, and Event Data. The repository aims to summarize recent advances in Large Models and Foundation Models for Time Series and Spatio-Temporal Data with resources such as papers, code, and data. It covers various applications like General Time Series Analysis, Transportation, Finance, Healthcare, Event Analysis, Climate, Video Data, and more. The repository also includes related resources, surveys, and papers on Large Language Models, Foundation Models, and their applications in AIOps.

LLMsForTimeSeries is a repository that questions the usefulness of language models in time series forecasting. The work shows that simple baselines outperform most language model-based time series forecasting models. It includes ablation studies on LLM-based TSF methods and introduces the PAttn method, showcasing the performance of patching and attention structures in forecasting. The repository provides datasets, setup instructions, and scripts for running ablations on different datasets.

Awesome Large Weather Models (LWMs) is a curated collection of articles and resources related to large weather models used in AI for Earth and AI for Science. It includes information on various cutting-edge weather forecasting models, benchmark datasets, and research papers. The repository serves as a hub for researchers and enthusiasts to explore the latest advancements in weather modeling and forecasting.

A catalogue and categorization of AI-based weather forecasting models. This page provides a catalogue and categorization of AI-based weather forecasting models to enable discovery and comparison of different available model options. The weather models are categorized based on metadata found in the JSON schema specification. The table includes information such as the name of the weather model, the organization that developed it, operational data availability, open-source status, and links for further details.

Promptic is a tool designed for LLM app development, providing a productive and pythonic way to build LLM applications. It leverages LiteLLM, allowing flexibility to switch LLM providers easily. Promptic focuses on building features by providing type-safe structured outputs, easy-to-build agents, streaming support, automatic prompt caching, and built-in conversation memory.

A Warehouse Manager focused on layout optimization.

Guides financial planning and cost management in production.

BuffettMungerDuan Finance AI' revolutionizes financial analysis, blending Buffett, Munger, and Duan's insights. Advanced algorithms and a vast database empower precise market forecasts and strategies, essential for investors and financial pros

I guide in creating business plans, calculating ROI, and providing an investors' pitch PDF.

Advises on trending stocks and forecasts prices

A financial assistant for break-even analysis.

正確な天気予報とオーダーメイドの服装を提案する。地域と性別を入力して。/ I provide precise weather forecasts and tailored clothing suggestions.

Bilingual trend forecasting expert for restaurants.

Advanced predictive analysis tool

Fun Weather forecaster.

I am an oracle of futures, inspired by Jim Dator's methods.

Guides strategic workforce planning to align with organizational goals.

Prophet model expert, professional yet approachable, seeks clarification

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

A financial expert building optimized macroeconomic models from a renowned book.

I'm friendly, offer weather updates, and engage in small talk.

Tell me where you are and I'll draw you a nice illustration with the current weather!

"Chip" refers to the chip on this bot's shoulder. he's...not friendly. But he's still helpful, even when he's insulting you.

I painted Mona Lisa.

Give me your weather and I will tell you what products to use today!