Audience
Companies seeking a forecasting solution that automatically generates large numbers of high-quality forecasts
About SAS Forecast Server
Get easy access to our powerful forecasting software with the SAS Forecast Studio GUI. No need to manually code your models. And because our solution operates in both interactive and batch environments, user skills and needs determine whether the interface or a batch job is appropriate. More advanced users can access even more capabilities using the SAS programming language. Generate millions of statistically based, trustworthy forecasts automatically. Because large forecasting processes are more manageable, analysts can focus on the most important (or problematic) forecasts. Large-scale automation also means less manual intervention. This reduces the chance that organizational politics or personal agendas will contaminate the forecasts. The software automatically selects specific drivers, holidays or events that can affect the business forecasting process, so your forecasts better reflect the intricacies of your business.
Integrations
No integrations listed.
Company Information
SAS Institute
Founded: 1976
United States
www.sas.com/en_us/software/forecast-server.html
Videos and Screen Captures
a4RetailStores
For any retailer it would be waste of a precious resources to overstock the storage or not to have enough amounts of particular products. Sales forecasting enables clever resource management helping retailers not just with their storage but also with planning budgets and costs, workforce, promotion activities, etc. High sales forecast accuracy is crucial and A4E` applications often exceed 95%. Such accuracy level is achieved via mathematical modelling utilized in cloud computing. The powerful engine behind the sales forecasting apps is able to determine the impact of particular product sales created by the sales of other product or product groups. A4RetailStores also project the impact of the weather, consumer trends, holidays, etc. to its sales forecasts.
Learn more
Sales Analysis & Forecasting Tool
SAFIO Solutions is a cloud based, forecasting software solution for inventory optimization, delivering a comprehensive platform that provides vision, efficiency and analytics to make strategic decisions for improved operational performance.
Utilizing a proprietary Sales Analysis & Forecasting Tool, SAFIO Solutions integrates a client’s vital data into a single, convenient and user-friendly interface, one that is intuitive to the information a planner needs to make impactful and efficient decisions, because it was developed by a planner.
Get the reporting & analytics needed to focus on emerging trends, opportunities and liabilities where action can then be taken to achieve desired results.
Gain the confidence to forecast simply, efficiently and accurately. Available to use on multiple devices wherever you are: at home, in the office or traveling.
Learn more
Smart Inventory Planning & Optimization
Smart Software is a leading provider of demand planning, inventory optimization and supply chain analytics solutions headquartered in Belmont, Massachusetts, USA. Founded in 1981 Smart has helped thousands of customers plan for future demand utilizing industry-leading statistical analytics. Smart Inventory Planning & Optimization (IP&O) is the company’s next-generation suite of native web applications, helping inventory carrying organizations reduce inventory, improve service levels and streamline Sales, Inventory, and Operations Planning.
Smart IP&O, hosted on Amazon Web Services, is a Digital Supply Chain Platform driving three applications: demand planning, inventory optimization, and dashboard reporting. Smart IP&O functions as a transparent extension of our customers’ ERP systems of choice, receiving daily transaction data and returning forecasts and inventory policy values to drive replenishment and production planning.
Learn more
Amazon Forecast
Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts.
Companies today use everything from simple spreadsheets to complex financial planning software to attempt to accurately forecast future business outcomes such as product demand, resource needs, or financial performance. These tools build forecasts by looking at a historical series of data, which is called time series data. For example, such tools may try to predict the future sales of a raincoat by looking only at its previous sales data with the underlying assumption that the future is determined by the past. This approach can struggle to produce accurate forecasts for large sets of data that have irregular trends. Also, it fails to easily combine data series that change over time (such as price, discounts, web traffic, and number of employees) with relevant independent variables like product features and store locations.
Learn more
You Might Also Like
This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
Product Details
Platforms Supported
SaaS
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
Online
SAS Forecast Server Frequently Asked Questions
SAS Forecast Server Product Features
Sales Forecasting
Dynamic Modeling
Exception Reporting
Graphical Data Presentation
Modeling & Simulation
Sales Trend Analysis
Statistical Analysis
Competitor Analysis
Correlation Analysis
Dashboard
Performance Metrics