Products

Inventory Forecasting generates 30 months of forward forecast of the Inventory using historical data. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better results due to its ensemble learning approach. This solution performs automated model selection to apply the right model based on the input data.

From generation to distribution, get repeatable, traceable, and defensible energy forecasts in the cloud. Scale up and scale down depending on the requirements of your business. SAS Energy Forecasting Cloud enables you to automate data ingestion and statistical and AI/ML model building so you can select the best one without the need for data science expertise. Whether you are a dispatcher or a trader, you can make the timeliest operations decisions and market offers, like never before.

Persistent Disk Storage Forecasting is a solution designed to predict and manage disk storage requirements effectively. By analyzing historical data and usage patterns, it provides accurate forecasts of future storage needs, enabling organizations to optimize resource allocation and prevent potential storage shortages. Key Features and Functionality: - Automated Machine Learning: Utilizes advanced machine learning algorithms to analyze time-series data, delivering precise storage forecasts wit

Cloud Database Cost Forecasting is a specialized solution designed to help organizations predict and manage their cloud database expenses effectively. By leveraging advanced analytics and machine learning algorithms, this tool analyzes historical usage patterns to provide accurate forecasts of future costs. This enables businesses to budget more accurately, identify potential cost overruns before they occur, and make informed decisions about resource allocation. The solution integrates seamlessl

Cloud Network Cost Forecasting generates 24 hours forward forecast of network cost using historical data. This solution will help businesses to better optimize their on-cloud network infrastructure and foresee their cost fluctuations. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better results due to its ensemble learning approach. This solution performs automated model selection to apply the right model based on the input data.

Mphasis time series ticket forecasting helps businesses predict the number of tickets of a specific type based on historic data. This will help businesses assess the level of automation as well as human intervention required to resolve the issues and plan accordingly. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better results due to its ensemble learning approach. This solution performs automated model selection to apply the rig

"Intelligence. Insight. Innovation.  Access a library of proven algorithms designed to address use cases across forecasting, demand sensing, optimization and more.  Empower transformation with no code / low code interfaces. Configure science to meaningful business value, while providing analysis tools that unify demand intelligence for easier consumption.  With Workcloud Forecasting and Analysis powered by antuit.ai, you'll receive the intelligence, insights and innovation to drive greater val

Fantastical is a comprehensive calendar and task management application designed to streamline scheduling across various platforms, including Mac, iPhone, iPad, Apple Watch, Apple Vision Pro, and Windows. By integrating multiple calendars such as Google, Outlook, and iCloud into a unified interface, Fantastical ensures users can manage their personal and professional commitments efficiently. Key Features and Functionality: - Unified Calendar View: Consolidates multiple calendars into a single,

Forecasts generates forward-looking demand forecasts for a specified location and time horizon using historical demand data, baseline and seasonal patterns, automatically engineered event features, and Beam-calibrated relevance when available.

Ganacos is a cloud-native SaaS platform created to support data-driven decisions in Sales and Operations Planning (S&OP) and Finance & Planning Analysis (FP&A). Ganacos allows concurrent users across all departments to perform collaborative planning based on centralized data pools. Data is processed in real-time and allows users to simulate what-if scenarios seamlessly.

What is Unit4 FP&A? Unit4 FP&A frees your team to spend more time delivering insights and creating value for the business. We help you more deeply understand the numbers and then turn that insight into action for better business results. We do this by combining automated, AI-infused planning, forecasting, reporting and analytics with highly interactive dashboards and powerful, pre-configured models to leverage better decision making. We support the sustainable improvement of decision

Provarity is an AI-powered presales platform designed to streamline and optimize the technical sales lifecycle, from initial discovery through proof-of-concept to final implementation. By automating complex workflows and providing real-time insights, Provarity enhances collaboration between sales, presales, and post-sales teams, ensuring a seamless transition and improved customer success. The platform addresses common challenges in presales processes, such as lack of visibility, inaccurate fore

Web Traffic Forecasting enables enterprises to optimize web server allocation, scaling for instances, parallelise workload traffic and utilization by generating 30 days of forward forecast of web traffic data. This helps enterprises to plan their IT infrastructure strategy across the cloud and on premise scenarios. It facilitates seamless end user experience and satisfied customers. It uses ensemble ML algorithms with automatic model selection. This solution performs automated model selection to

GoNina is a Swiss AI-powered demand forecasting platform for bakeries, restaurants, and food retailers that want to cut food waste and increase margins without adding operational complexity. GoNina connects to existing POS and ordering systems and generates daily, SKU-level demand forecasts per location. These forecasts flow directly into production planning and standard orders, helping teams produce the right quantities at the right time. The result is fewer returns, less overproduction, and m

Budget planning and forecasting based on your sales trends and opportunities

Vanillatech Labs' Time Series Forecasting is a machine learning platform designed to simplify the process of predicting future data points based on historical time series data. Utilizing a neuro-bio inspired deep learning system, it automatically detects patterns, even in small datasets, and generates accurate forecasts. The platform is accessible via a RESTful API, allowing developers to integrate forecasting capabilities into their applications with simple POST requests from any programming la

InfraGraf Network Traffic Forecasting helps businesses get a future forecast of the network traffic based on historic data. Benefits offered by this solution includes accurate forecast of network traffic which enables better planning for network infrastructure, application scalability and auto scaling. It uses ensemble ML algorithms with automatic model selection algorithms. This solution provides consistent and better results due to its ensemble learning approach. This solution performs automat

Accurately predict demand and streamline operations with 7P's AI Demand Forecasting. Our solution leverages AI to optimize inventory, reduce costs, and improve customer satisfaction. Make informed, data-driven decisions that align resources with market needs, ensuring your business stays ahead in dynamic industries.

Persefoni is a carbon management platform that measures, analyzes, plans, forecasts, & reports organizational and investment portfolio carbon footprints.

BuildingIQ is an energy management software platform, forecasts energy demand and adjusts buildings' HVAC settings to optimize energy use.