Why pick arbitrary Service Level Targets?

The Smart Forecaster

Pursuing best practices in demand planning,

forecasting and inventory optimization

Why pick arbitrary Service Level Targets? Learn how to select automatically the optimal Targets @scale minimizing total costs for your business.

There are unavoidable tradeoffs between inventory cost and item availability. The Smart Inventory Optimization (SIO) app calculates all the key metrics to expose those tradeoffs. You can try “what-if” experiments such as “What happens to shortage cost if we raise the reorder point from 5 to 10?”. Better yet, you can let SIO find the optimal operating policy, e.g., the lowest cost combination of reorder point and order quantity that guarantees a 95% service level.

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Managing Spare Parts Inventory: Best Practices

Managing Spare Parts Inventory: Best Practices

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Effective supply chain and inventory management are essential for achieving operational efficiency and customer satisfaction. This blog provides clear and concise answers to some basic and other common questions from our Smart IP&O customers, offering practical insights to overcome typical challenges and enhance your inventory management practices. Focusing on these key areas, we help you transform complex inventory issues into strategic, manageable actions that reduce costs and improve overall performance with Smart IP&O.

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  • 7 Key Demand Planning Trends Shaping the Future7 Key Demand Planning Trends Shaping the Future
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      Spare Parts Planning Webinar for Public Transit Agencies

      Spare Parts Planning in the Age of Covid: Problems and Solutions for Public Transit Agencies

      Covid has wreaked havoc on public transit. Plummeting ridership, reduced capacity, unprecedented losses in fare and tax revenue, along with added costs to keep buses and trains safe have resulted in massive transit system budget shortfalls. APTA reports that even with two rounds of emergency funding, public transit agencies will face a projected shortfall of $39.3 Billion through 2023. This webinar will address the need for transit agencies to reconsider traditional practices, find innovative ways to capture cost savings, and do so without jeopardizing service levels. Greg Hartunian, CEO of Smart Software, will discuss the particular challenge of spare parts planning, why traditional practices used today fail, and how inventory forecasting technology is being harnessed to optimize performance and drive significant financial return. Greg will highlight the experience of Smart Software’s transit customers, how they’ve generated bottom-line savings, what they are doing to prepare for the rebound, and share a technology demonstration using transit industry data. Please feel free to review the content below. We have provided case studies profiling the use of our technology within public transit and a software review from APICS Magazine. Transit Specific Content   About Smart Software, Inc. Founded in 1981, Smart Software, Inc. is a leader in providing businesses with enterprise-wide demand forecasting, planning, and inventory optimization solutions.  Smart Software’s demand forecasting and inventory optimization solutions have helped thousands of users worldwide, including customers at mid-market enterprises and Fortune 500 companies, such as Disney, Siemens, Metro Transit, APS, and The American Red Cross.  Smart Inventory Planning & Optimization gives demand planners the tools to handle sales seasonality, promotions, new and aging products, multi-dimensional hierarchies, and intermittently demanded service parts and capital goods items.  It also provides inventory managers with accurate estimates of the optimal inventory and safety stock required to meet future orders and achieve desired service levels.  Smart Software is headquartered in Belmont, Massachusetts, and can be found on the World Wide Web at www.smartcorp.com.   SmartForecasts and Smart IP&O have registered trademarks of Smart Software, Inc.  All other trademarks are their respective owners’ property. For more information, please contact Smart Software, Inc., Four Hill Road, Belmont, MA 02478. Phone: 1-800-SMART-99 (800-762-7899); FAX: 1-617-489-2748; E-mail: info@smartcorp.com      
      What is the difference between Demand planning and Inventory optimization ?

      The Smart Forecaster

      Pursuing best practices in demand planning,

      forecasting and inventory optimization

      What is the difference between Demand planning and Inventory optimization ? 

      The Smart Demand Planning app (SDP) provides demand forecasts. The SDP forecasting engine is also the core of the Smart Inventory Optimization app (SIO), which stress-tests various inventory policies using a number of demand scenarios to find optimal inventory policy settings.

       

       

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          Automatic Forecasting for Time Series Demand Projections

          The Smart Forecaster

           Pursuing best practices in demand planning,

          forecasting and inventory optimization

          Improve Forecast Accuracy, Eliminate Excess Inventory, & Maximize Service Levels

          In this video tutorial Dr. Thomas Willemain, co–Founder and SVP Research at Smart Software, presents Automatic Forecasting for Time Series Demand Projections, a specialized algorithmic tournament to determine an appropriate time series model and estimate the parameters to compute the best forecasts methods. Automatic forecasts of large numbers of time series are frequently used in business, some have trend either up or down, and some have seasonality so they are cyclic, and each of those specific patterns requires a suitable technical approach, and an appropriate statistical forecasting method.  Tom explains how the tournament computes the best forecasts methods and works through a practical example.

          AUTOMATIC FORECASTING COMPLETE-VIDEO-2
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          Managing Spare Parts Inventory: Best Practices

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              Forecast Using Leading Indicators – Regression Analysis:

              The Smart Forecaster

               Pursuing best practices in demand planning,

              forecasting and inventory optimization

              Improve Forecast Accuracy, Eliminate Excess Inventory, & Maximize Service Levels

              In this video tutorial Dr. Thomas Willemain, co–Founder and SVP Research at Smart Software, presents Regression Analysis, a specialized statistical modeling technique to identify and harness leading indicators to achieve more accurate forecasts.  Regression analysis is a statistical procedure to estimate the relationship between a response variable and one or more predictor variables. Housing starts, for example, might be a good leading indicator of vinyl siding demand.  Tom explains how and when to use regression analysis and works through a practical example.

              Forecasting Techniques for a more profitable business
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              Managing Spare Parts Inventory: Best Practices

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              In this blog, we’ll explore several effective strategies for managing spare parts inventory, emphasizing the importance of optimizing stock levels, maintaining service levels, and using smart tools to aid in decision-making. Managing spare parts inventory is a critical component for businesses that depend on equipment uptime and service reliability. Unlike regular inventory items, spare parts often have unpredictable demand patterns, making them more challenging to manage effectively. An efficient spare parts inventory management system helps prevent stockouts that can lead to operational downtime and costly delays while also avoiding overstocking that unnecessarily ties up capital and increases holding costs.

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              • 7 Key Demand Planning Trends Shaping the Future7 Key Demand Planning Trends Shaping the Future
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                • Managing Spare Parts Inventory: Best PracticesManaging Spare Parts Inventory: Best Practices
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