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Merchandising Systems
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Documents related to » forecast accuracy improvement


Continuous Improvement Case Study: Taking Baby Steps towards Tangible Benefits
To improve supply chain operations with a fresh look and new ideas, Harris Tea worked with a consulting firm, Supply Chain Consultants. The objective was to

forecast accuracy improvement  black teas depend upon forecast accuracy to drive the production schedule, while make-to-order specialty teas are driven by customer orders. The consultants recommended a series of business process improvements to tighten the supply chain, from forecasting through distribution planning. Many of the improvements for both types of teas dealt with improved procedures for procurement and inventory of specialized packaging materials (which would ensure that production was never limited by lack of packaging mat Read More...
Supply Chain Cost-cutting Strategies
Process industries (chemicals, food and beverage, oil and gas, etc.) face rising manufacturing and logistics costs. And they’re finding that the old strategies

forecast accuracy improvement  their peers to have: Forecast accuracy at the product family level of 71% or better Perfect order percentage of 91% or better Logistics costs as a % of sales of 6% or less To achieve these enormous advantages over their peers, they have taken radically differ- ent actions in organization structure and supply chain technology investment. As a result, Best in Class companies are much further ahead in closed-loop integration of supply chain planning and execution, in addition to data and process visibility a Read More...
The Art, Science & Software Behind (Optimal) Retail Pricing - Part 5
Part 1 of this series expanded on some of TEC’s earlier articles about companies’ need for better pricing management and optimization practices. This series

forecast accuracy improvement  store-specific advertising messaging Improved forecast accuracy via a single version of consumer demand, which in turns reduces excess inventory while improving customer service levels Any Concrete Results and Metrics? In summary, by doing optimized item pricing, a retailer can gain visibility into the impact of a pricing decision on the supply chain and drive more profitable decisions related to store clustering, pricing rules, promotional opportunities, and cycle times. The following are JDA’s example Read More...
The Demand-Driven Supply Chain and Demantra
Demand-driven supply chains focus on pulling demand and maximizing effectiveness and profitability while traditional supply chains push products and create

forecast accuracy improvement  service 40% improvement in forecast accuracy Capability to forecast down to the SKU level Recommendations Enterprises with complex products and supply chains and those with significant promotional activities and other such events should consider the concept of the Demand-Driven Supply Chain. Integrated marketing, inventory and replenishment decisions clearly hold significant promise for these enterprises. If Demand-Driven Supply Chain is appropriate to the enterprises business, Demantra should be placed o Read More...
Charting a New Course in Effective Distribution Supply Chain Management
Wholesale distributors that pursue growth while neglecting supply chain effectiveness are putting their long-term survival at risk—usually for no good reason

forecast accuracy improvement  calculating the SKU/location end-demand forecast with the intent of improving buy accuracy and cutting significant inventory from the operation. Subsequent planned steps include: driving the demand forecast through allocation planning; reconciling incoming levels against distribution center capacity requirements and inventory histories and, eventually, applying the forecast to both labor and shipping requirements. The initiative is projected to reduce total inventory in the supply chain by 13% with Read More...
Privacy Challenges for Data Providers
Ensuring the quality, accuracy, and security of customer data has never been more important than it is today. The growing potential for privacy breaches and

forecast accuracy improvement   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

forecast accuracy improvement  volatility, unreliable suppliers, and forecast-based planning systems. Since its inception Ultriva has deployed solutions in more than 170 plants, in 20 countries, and to over 7,500 suppliers. Ultriva’s customer base includes manufacturers such as Emerson, Rexnord, Dresser, AGCO, Owens-Corning, Ingersoll Rand, McKesson, and A.O. Smith. As an early pioneer in web-based architecture, Ultriva has embraced the software-as-a-service (SaaS) delivery model, service-oriented architecture (SOA), and .net 3.5. Read More...
Connect and Optimize: Microsoft Dynamics Solutions in Industrial Equipment Manufacturing
Leading industrial equipment manufacturers are using new technology strategies to improve accuracy in quotations and configurations, improve customer

forecast accuracy improvement  and Optimize: Microsoft Dynamics Solutions in Industrial Equipment Manufacturing Leading industrial equipment manufacturers are using new technology strategies to improve accuracy in quotations and configurations, improve customer satisfaction, increase supply chain visibility, and grow service revenues. Learn how to connect and optimize operations and create amazing customer experiences, for agility, low total cost of ownership, and fast time to market. Read More...
Kronos Launches Predictive Workforce Scheduling in Healthcare
Kronos has released a new forecasting application, Workforce Forecast Manager, available within the flagship Kronos Workforce Central suite of workforce

forecast accuracy improvement  forecasting application , Workforce Forecast Manager , available within the flagship Kronos Workforce Central suite of workforce management (WFM) applications for healthcare organizations, that predicts fluctuating labor demand by leveraging historical volume data. Healthcare organizations can use this application to deliver a more accurate workload plan and build the foundation of a predictive scheduling process.   To succeed in today’s challenging healthcare environment, providers need to improve Read More...
The Lean Front End: A Breakthrough Opportunity
A company’s best opportunity to gain major margin improvement is in its front end—the sales, customer service, and processes needed to transform inquiries into

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Ten Ways Robots Enhance Lean Manufacturing Environments
Traditionally, robots have not played a prominent role in the implementation of lean strategies. However, due to their repeatability, speed, accuracy, and

forecast accuracy improvement  robotics,abb industrial robots,abb industrial robotics,industrial robots,industrial robotics,abb robots,abb robotics,lean manufacturing Read More...
Prognoz
PROGNOZ is Russian for forecast. We chose the name because we''re dedicated to helping organizations prepare for the future. Since 1991 we''ve done this through

forecast accuracy improvement  PROGNOZ is Russian for forecast. We chose the name because we''re dedicated to helping organizations prepare for the future. Since 1991 we''ve done this through our world-class Business Intelligence (BI) applications that feature leading-edge analytics, multi-dimensional data cubes and robust econometric forecasting tools. In the clipped pace of the Information Age, our tools help users distill raw data quickly and accurately from a multitude of sources, resulting in sound decisions and money saved. The Read More...
Talent-based Learning: Goodbye to the Stand-alone LMS
Understanding the effectiveness of learning programs on workforce performance and the organization as a whole is what drives continuous improvement. This white

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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

forecast accuracy improvement  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 quarterly loss in the third quarter, but in November had given a more upbeat earnings outlook. Some analysts had seen it bouncing back from Read More...

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