Inventory Optimization Best Practices

Smart Software

Inventory managers have the problem of handling tens or even hundreds of thousands of products, each with unique properties, demanding sophisticated and time-consuming calculations. The proactive management of big inventories becomes unfeasible in the absence of a systematic approach and effective analytic tools.

Without inventory optimization, businesses run the risk of overpaying and underperforming. Manufacturers, distributors, and MRO inventory managers frequently err on the side of caution when setting stocking levels to prevent expensive shortages. Establishing the ideal stock levels for manufacturers, distributors, and MRO should be a science, not an art.

Learn industry best practices on how to optimize inventory to save on costs, meet demand, and streamline your supply chain below.

Why MRO Businesses Need Add-on Service Parts Planning & Inventory Software

Why MRO Businesses Need Add-on Service Parts Planning & Inventory Software

MRO organizations exist in a wide range of industries, including public transit, electrical utilities, wastewater, hydro power, aviation, and mining. To get their work done, MRO professionals use Enterprise Asset Management (EAM) and Enterprise Resource Planning (ERP) systems. These systems are designed to do a lot of jobs. Given their features, cost, and extensive implementation requirements, there is an assumption that EAM and ERP systems can do it all. In this post, we summarize the need for add-on software that addresses specialized analytics for inventory optimization, forecasting, and service parts planning.

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Head to Head: Which Service Parts Inventory Policy is Best?

Head to Head: Which Service Parts Inventory Policy is Best?

Our customers have usually settled into one way to manage their service parts inventory. The professor in me would like to think that the chosen inventory policy was a reasoned choice among considered alternatives, but more likely it just sort of happened. Maybe the inventory honcho from long ago had a favorite and that choice stuck. Maybe somebody used an EAM or ERP system that offered only one choice. Perhaps there were some guesses made, based on the conditions at the time.

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Leveraging ERP Planning BOMs with Smart IP&O to Forecast the Unforecastable

Leveraging ERP Planning BOMs with Smart IP&O to Forecast the Unforecastable

In a highly configurable manufacturing environment, forecasting finished goods can become a complex and daunting task. The number of possible finished products will skyrocket when many components are interchangeable. A traditional MRP would force us to forecast every single finished product which can be unrealistic or even impossible. Several leading ERP solutions introduce the concept of the “Planning BOM”, which allows the use of forecasts at a higher level in the manufacturing process. In this article, we will discuss this functionality in ERP, and how you can take advantage of it with Smart Inventory Planning and Optimization (Smart IP&O) to get ahead of your demand in the face of this complexity.

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Why Inventory Planning Shouldn’t Rely Exclusively on Simple Rules of Thumb

Why Inventory Planning Shouldn’t Rely Exclusively on Simple Rules of Thumb

For too many companies, a critical piece of data fact-finding ― the measurement of demand uncertainty ― is handled by simple but inaccurate rules of thumb. For example, demand planners will often compute safety stock by a user-defined multiple of the forecast or historical average. Or they may configure their ERP to order more when on hand inventory gets to 2 x the average demand over the lead time for important items and 1.5 x for less important ones. This is a huge mistake with costly consequences.

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Recent Posts

  • Managing Spare Parts Inventory: Best PracticesManaging Spare Parts Inventory: Best Practices
    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. […]
  • 5 Ways to Improve Supply Chain Decision Speed5 Ways to Improve Supply Chain Decision Speed
    The promise of a digital supply chain has transformed how businesses operate. At its core, it can make rapid, data-driven decisions while ensuring quality and efficiency throughout operations. However, it's not just about having access to more data. Organizations need the right tools and platforms to turn that data into actionable insights. This is where decision-making becomes critical, especially in a landscape where new digital supply chain solutions and AI-driven platforms can support you in streamlining many processes within the decision matrix. […]
  • Two employees checking inventory in temporary storage in a distribution warehouse.12 Causes of Overstocking and Practical Solutions
    Managing inventory effectively is critical for maintaining a healthy balance sheet and ensuring that resources are optimally allocated. Here is an in-depth exploration of the main causes of overstocking, their implications, and possible solutions. […]
  • FAQ Mastering Smart IP&O for Better Inventory ManagementFAQ: Mastering Smart IP&O for Better Inventory Management.
    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. […]
  • 7 Key Demand Planning Trends Shaping the Future7 Key Demand Planning Trends Shaping the Future
    Demand planning goes beyond simply forecasting product needs; it's about ensuring your business meets customer demands with precision, efficiency, and cost-effectiveness. Latest demand planning technology addresses key challenges like forecast accuracy, inventory management, and market responsiveness. In this blog, we will introduce critical demand planning trends, including data-driven insights, probabilistic forecasting, consensus planning, predictive analytics, scenario modeling, real-time visibility, and multilevel forecasting. These trends will help you stay ahead of the curve, optimize your supply chain, reduce costs, and enhance customer satisfaction, positioning your business for long-term success. […]

    Inventory Optimization for Manufacturers, Distributors, and MRO

    • Managing Spare Parts Inventory: Best PracticesManaging Spare Parts Inventory: Best Practices
      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. […]
    • Innovating the OEM Aftermarket with AI-Driven Inventory Optimization XLInnovating the OEM Aftermarket with AI-Driven Inventory Optimization
      The aftermarket sector provides OEMs with a decisive advantage by offering a steady revenue stream and fostering customer loyalty through the reliable and timely delivery of service parts. However, managing inventory and forecasting demand in the aftermarket is fraught with challenges, including unpredictable demand patterns, vast product ranges, and the necessity for quick turnarounds. Traditional methods often fall short due to the complexity and variability of demand in the aftermarket. The latest technologies can analyze large datasets to predict future demand more accurately and optimize inventory levels, leading to better service and lower costs. […]
    • Future-Proofing Utilities. Advanced Analytics for Supply Chain OptimizationFuture-Proofing Utilities: Advanced Analytics for Supply Chain Optimization
      Utilities in the electrical, natural gas, urban water, and telecommunications fields are all asset-intensive and reliant on physical infrastructure that must be properly maintained, updated, and upgraded over time. Maximizing asset uptime and the reliability of physical infrastructure demands effective inventory management, spare parts forecasting, and supplier management. A utility that executes these processes effectively will outperform its peers, provide better returns for its investors and higher service levels for its customers, while reducing its environmental impact. […]
    • Centering Act Spare Parts Timing Pricing and ReliabilityCentering Act: Spare Parts Timing, Pricing, and Reliability
      In this article, we'll walk you through the process of crafting a spare parts inventory plan that prioritizes availability metrics such as service levels and fill rates while ensuring cost efficiency. We'll focus on an approach to inventory planning called Service Level-Driven Inventory Optimization. Next, we'll discuss how to determine what parts you should include in your inventory and those that might not be necessary. Lastly, we'll explore ways to enhance your service-level-driven inventory plan consistently. […]
    Problem

    Keeping inventory investments in check while maintaining high customer service levels is a constant balancing act.  Without proper controls, excess inventory grows throughout your supply chain, locking up vital working capital that constrains your company’s growth.  Every day, the ERP system makes purchase order suggestions and manufacturing orders based on planning drivers such as safety stock, reorder points, and Min/Max levels. Ensuring that these inputs are understood and continually optimized will generate substantially better returns on your inventory assets.  Unfortunately, many organizations rely on rule of thumb logic,  institutional knowledge, and “one-size-fits all” forecasting logic that assigns all items within a particular group the same service level target. These approaches yield suboptimal policies that cause inventory costs to balloon and service performance to suffer. Compounding the problem is the sheer volume of data – thousands of items stocked at multiple locations means planners don’t have the bandwidth to proactively review these inventory drivers on a regular basis.  This results in outdated reorder points, safety stocks, order quantities, and Min/Max settings that further contribute to the problem.

    Solution

    Smart Inventory Optimization (SIO™) is available on Smart’s Inventory Planning and Optimization Platform, Smart IP&O.  It delivers inventory policy decision support and the means to share, collaborate, and track the impact of your inventory planning policy. This can help realize millions in savings by improving customer service and reducing excess stock. You can forecast metrics such as service level, fill rate, holding costs, ordering costs, and stock out costs. Users can identify overstocks and understocks, adjust stocking policies when demand changes, share proposed policies with other stakeholders, collect feedback, and establish a consensus inventory plan.  And unlike traditional inventory planning systems that rely on rule of thumb approaches or require the user to arbitrarily set suboptimal service level targets, Smart Inventory Optimization prescribes the optimal service levels for you.  Users can optionally assign service level constraints to ensure the optimization engine respects business rules. SIO provides the required inventory planning parameters for a variety of replenishment policies such as Reorder Point/Order Quantity, Min/Max, Safety Stock Planning, and Order Up to levels.

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      With Smart Inventory Optimization you can:
      • Identify where you are overstocked and understocked.
      • Modify  planning parameters based on your business rules, service targets, and inventory budget.
      • Leverage the optimization logic in SIO to prescribe planning parameters and service levels for you.
      • Compare proposed policies to the benchmark.
      • Collaborate and develop a consensus inventory plan.
      • Automatically generate revised planning parameters as demand and other inputs change.

      Smart Inventory Optimization

      Reduce Excess Stock

      Optimal Inventory Levels

      Reduce excess stock
      Improve service levels
      Minimize buyer transactions
      Maximize return on assets

      Identify Stockout Risk

      Organizational Consensus

      Balance service levels
      Identify stockout risk
      Identify overstocks
      No finger-pointing

      Inventory Warehouse Connectivity

      Operational Connectivity

      Align process with strategic objectives
      Empower team to “make it so”
      Optimize as conditions change
      Pass results to ERP

      Who is Inventory Optimization for?

      Smart Inventory Optimization is for executives and business savvy planners who seek to:

      • Yield maximum returns from inventory assets.
      • Address the problem of highly variable or intermittent demand.
      • Broker the service vs. cost tradeoffs between different departments.
      • Develop a repeatable and efficient inventory planning process.
      • Empower the team to ensure operational plan is aligned with strategic plan.
      What questions can Inventory Optimization answer?
      • What is the best service level achievable with the inventory budget?
      • What service levels will yield the maximum return?
      • If lead times increased, what would it cost to maintain service?
      • If I reduce inventory, what will the impact on service be?
      • If order quantity increases, what will the impact on service and costs be?
      • What is the order quantity that balances holding and ordering costs?
      Inventory forecasting for the inventory executive

      Smart Inventory Optimization empowers you to:

      • Predict service performance and inventory costs.
      • Assess business impact of “what-if” inventory policies.
      • Align inventory policy with corporate strategy.
      • Establish an operational framework that guides the planning team.
      • Reduce inventory and improve service.

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