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Documents related to » modeling forecast accuracy


ToolsGroup Embeds Machine Learning Technology in Demand Forecasting
ToolsGroup, a provider of demand analytics and supply chain planning (SCP) software, claims to be the first vendor in its class to embed machine learning into a

modeling forecast accuracy  baseline demand. ToolsGroup’s demand modeling creates a reliable baseline, then uses machine learning to adjust the baseline by identifying the effect of stimuli and demand indicators at a detailed channel level. It analyzes all the relevant variables and the complex interactions among them in an automated fashion.   As ToolsGroup gained experience with the technology, it was able to decrease the footprint and increase the processing speed, reliability, and product standardization. It can now embed Read More...
APICS 2009 From the Expo Floor: Is S&OP Coming of Age? - Part 2
Part 1 of this blog post series talked about my attendance at the APICS 2009 International Conference in Toronto (Canada) in early October. I attended only a

modeling forecast accuracy  and implementing a quantitative modeling what-if framework based on KPIs designed to make the decisions made within S&OP more optimal; enhancing quantitative modeling with qualitative insights tied to each planning category including the assumptions, risks, and opportunities associated with the plan; adoption of advanced supply chain technology to ensure cohesive S&OP collaboration, with integrated workflow processes and the assurance of data accuracy and integrity; leveraging an enterprise information Read More...
Current Trends in Supply Chain Analytics Systems
Supply chain analytics is gaining popularity with organizations, as it is an effective mechanism to monitor and track supply chain performance. And with new

modeling forecast accuracy  10. Predictive modeling Predictive modeling will help the system build relationships between various KPIs, based on the past transitional data. For example, the system should be able to find the correlation between forecast accuracy KPI data and the finished goods inventory data, based on past information. The system needs a predictive engine to perform such analysis. Once relationships between KPIs have been established, the system can store them, which will help users to perform root cause analyses. Read More...
Improving Supply Chain Effectiveness
Increased globalization, volatility in demand and commodity costs, regulatory requirements, and greater dependency on suppliers and other partners have

modeling forecast accuracy  Reporting Solutions | Data Modeling | Data Integration Functionality | Cash-to-Cash Cycle Times | Key Performance Indicators | Up-to-Date Performance Management Information | KPI | SAP Supply Chain Performance | Benefits of SAP Supply Chain Management | SAP Supply Chain Management | SAP SCM | Best-of-breed Data Integration | Improve Data Availability | Order-to-Delivery Performance | Supply and Demand-related Events | Data Sharing | Increase Customer Service Levels | Integrating Functional and Read More...
AspenTech Keeps on Enhancing aspenONE
Process industries often find the sophisticated software products from Aspen Technology (a.k.a., AspenTech) quite functional and useful in catering to their

modeling forecast accuracy  stands for Process Industry Modeling System) optimizes petroleum supply chain planning and scheduling by enabling planners to collaborate more easily to deliver optimal plans faster by visualizing and evaluating multiple scenarios along with plant data to make better and more profitable decisions A new version of Aspen Collaborative Demand Manager helps process manufacturers improve demand forecast accuracy to increase customer service levels, reduce excess inventory, and provide better input to Read More...
Oetiker Inc
Learn how Oetiker Inc, the foremost manufacturer and distributor of quality clamps, rings, and couplings improved customer satisfaction, shipping accuracy, and

modeling forecast accuracy  shipping,delivery,Oetiker,Epicor,manage 2000,case Read More...
River Logic, Inc.
Founded in 2000, River Logic, Inc. is a privately held technology firm. River Logic provides a prescriptive modeling and analytics platform, Enterprise

modeling forecast accuracy  Logic provides a prescriptive modeling and analytics platform, Enterprise Optimizer (EO), to partners to develop scalable, high ROI, white space planning and decision support solutions. River Logic’s Enterprise Optimizer (EO) technology platform supports a wide range of solutions, including: Cost-to-Serve Planner - to provide insight into which customers and products matter most and how they can be managed at the appropriate cost Integrated Business Planner - to align day-to-day operations with Read More...
Why your ERP Solution must have Integrated Business Process Modeling!
Unfortunately, many enterprise resource planning (ERP) solutions are “hard wired” to naturally flow with someone else’s assumptions about how your enterprise

modeling forecast accuracy  have Integrated Business Process Modeling! Unfortunately, many enterprise resource planning (ERP) solutions are “hard wired” to naturally flow with someone else’s assumptions about how your enterprise works. If an ERP system doesn’t suit the needs of your business you will find yourself looking for a new ERP solution sooner. By following some practical suggestions, you can chart a winning course in selecting your next generation of integrated enterprise application and deployment platform Read More...
How Is Business Process Management Applicable to Financial Services?
Business process management (BPM) allows financial services companies to manage internal processes and to increase efficiency and accuracy. Organizations

modeling forecast accuracy  business process management,BPM,financial services industry,Sarbanes-Oxley Act,SOX,compliance,industry-specific BPM solutions,BPM components Read More...
Is Baan Clinically Dead?
On January 4, 2000 Baan, Europe''s No. 2 business software company, sank deeper into trouble as its CEO resigned and it forecast a fourth quarter loss of $240

modeling forecast accuracy  Baan Clinically Dead? Event Summary On January 4, 2000 Baan, Europe''s No. 2 business software company, sank deeper into trouble as its CEO resigned and it forecast a fourth quarter loss of $240 million to $250 million after restructuring. Its shares plunged over 30 percent as analysts cut recommendations on the loss-making vendor, which has yet to name a replacement for Mary Coleman, who is returning to her Silicon Valley home after taking charge only last May. Baan had reported a fifth consecutive Read More...
Identifying the ROI of a Software Application for SCM Part 3: Performing the Data Analysis
By using software tools that help you forecast and work together with others inside your organization, and even with your customers, the forecasts may become

modeling forecast accuracy  the ROI of a Software Application for SCM Part 3: Performing the Data Analysis Identifying the ROI of a Software Application for SCM Executive Summary    The competitive environment for every industry grows increasingly intense. Fast, reasonably accurate information about the impact of a software investment decision grows more critical. Many decision-makers look for an exact forecast of return on investment (ROI) from the purchase of a supply chain management application. At least four very Read More...
Excel Software
Excel Software delivers professional software tools to thousands of users worldwide. Learn about system modeling, requirements management, software design

modeling forecast accuracy  worldwide. Learn about system modeling, requirements management, software design, programming, protection & licensing, online activation, order processing and shopping carts. Read More...
Case Study: Focused Storage Design
A manufacturer of multiple electronic goods needed to maximize its available storage. A logistics modeling and design tool can help the company benefit from

modeling forecast accuracy  available storage. A logistics modeling and design tool can help the company benefit from pull replenishment and focused storage approaches to logistics by enabling users to evaluate different storage options. Find out how the solution can support transition during initial design, including re-engineering of existing process, for continued results. Read More...
Ultriva
Ultriva was founded in 1999 to provide software solutions to companies that were struggling with demand volatility, unreliable suppliers, and forecast-based

modeling forecast accuracy   Read More...

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