V-LINE marks anniversary with conference and Smart keynote.
During the “User Conference: Spare Parts Inventory Planning and Optimization,” topics like vested outsourcing and digital MRO supply chain orchestration were discussed with the participation of Jeff Scott, our vice president of business development at Smart Software.
Jeff discussed the practical process of optimizing spares inventory policies, particularly the challenge of addressing seemingly unforecastable intermittent demand. He reviewed common approaches, their failings, and the value of taking a different approach with probabilistic modeling and improved statistical methods. If you would like to learn more, a good place to start is Smart Software’s recent webinar on Intermittent Demand – click here to view the replay.

To the right Jeff Scott vice president of business development at Smart Software.
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 Mitsubishi, Siemens, Disney, FedEx, MARS, and The Home Depot. 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 are registered trademarks of Smart Software, Inc. All other trademarks are the property of their respective owners.
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
Smart Software President and CEO to Present at Microsoft Dynamics NAV 2019
Smart Software to lead Microsoft Dynamics NAV Summit Session on Inventory Optimization and Intermittent Demand
Belmont, Mass., October, 2019 – Smart Software, Inc., provider of industry-leading demand forecasting, inventory planning, and inventory optimization solutions, today announced that CEO Greg Hartunian, will present at the Microsoft Dynamics NAV Summit from October 15-18 in Kissimmee, FL.
Greg Hartunian and Bruce Kennedy, Senior Consultant at ArcherPoint will present “Inventory Optimization and Intermittent Demand – Why Forecasting Isn’t Enough.” The session details how to plan optimal inventory levels for thousands of items when demand is intermittent. Seemingly random, sporadic demand is the worst case scenario for accurately forecasting demand and inventory requirements. Typical planning approaches such as reliance on sales forecasts and rules of thumb methods, why they often fail, and how probabilistic forecasting methods can make a big difference to the bottom line will be discussed. They will demonstrate practical examples, working through a service level-driven methodology to manage risk and find the optimal balance between inventory investment and availability, and then send corresponding replenishment drivers to Business Central 365/NAV to make it so.
The presentation is scheduled for Oct. 16, 1-2 PM. Smart Software will be also exhibiting at the conference showcasing Smart Inventory Planning & Optimization and bi-directional integrations to Microsoft Dynamics NAV, Microsoft Dynamics 365 Business Central, and Microsoft Dynamics AX.

About Smart Software, Inc.
Founded in 1981, Smart Software, Inc. is Microsoft Dynamics Gold Partner and full-service provider for Dynamics NAV and Dynamics 365, a leader in providing 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 Mitsubishi, Siemens, Disney, FedEx, MARS, and The Home Depot. 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 are registered trademarks of Smart Software, Inc. All other trademarks are the property of their respective owners.
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

How to Choose a Target Service Level to Optimize Inventory
Summary
Setting a target service level or fill rate is a strategic decision about inventory risk management. Choosing service levels can be difficult. Relevant factors include current service levels, replenishment lead times, cost constraints, the pain inflicted by shortages on you and your customers, and your competitive position. Target setting is often best approached as a collaboration among operations, sales and finance. Inventory optimization software is an essential tool in the process.
Service Level Choices
Service level is the probability that no shortages occur between when you order more stock and when it arrives on the shelf. The reasonable range of service levels is from about 70% to 99%. Levels below 70% may signal that you don’t care about or can’t handle your customers. Levels of 100% are almost never appropriate and usually indicate a hugely bloated inventory.
Factors Influencing Choice of Service Level
Several factors influence the choice of service level for an inventory item. Here are some of the more important.
Current service levels:
A reasonable place to start is to find out what your current service levels are for each item and overall. If you are already in good shape, then the job becomes the easier one of tweaking an already-good solution. If you are in bad shape now, then setting service levels can be more difficult. Surprisingly few companies have data on this important metric across their whole fleet of inventory items. What often happens is that reorder points grow willy-nilly from choices made in corporate pre-history and are rarely, sometimes never, systematically reviewed and updated. Since reorder points are a major determinant of service levels, it follows that service levels “just happen”. Inventory optimization software can convert your current reorder points and lead times into solid estimates of your current service levels. This analysis often reveals subset of items with service levels either too high or too low, in which case you have guidance about which items to adjust down or up, respectively.
Replenishment lead times:
Some companies adjust service levels to match replenishment lead times. If it takes a long time to make or buy an item, then it takes a long time to recover from a shortage. Accordingly, they bump up service levels on long-lead-time items and reduce them on items for which backlogs will be brief.
Cost constraints:
Inventory optimization software can find the lowest-cost ways to hit high service level targets, but aggressive targets inevitably imply higher costs. You may find that costs constrain your choice of service level targets. Costs come in various flavors. “Inventory investment” is the dollar value of inventory. “Operating costs” include both holding costs and ordering costs. Constraints on inventory investment are often imposed on inventory executives and always imply ceilings on service level targets; software can make these relationships explicit but not take away the necessity of choice. It is less common to hear of ceilings on operating costs, but they are always at least a secondary factor arguing for lower service levels.
Shortage costs:
Shortage costs depend on whether your shortage policy calls for backorders or lost sales. In either case, shortage costs work counter to inventory investment and operating costs by arguing for higher service levels. These costs may not always be expressed in dollar terms, as in the case of medical/surgical supplies, where shortage costs are denominated in morbidity and mortality.
Competition:
The closer your company is to dominating its market, the more you can ease back on service levels to save money. However, easing back too far carries risks: It encourages potential customers to look elsewhere, and it encourages competitors. Conversely, high product availability can go far to bolstering the position of a minor player.
Collaborative Targeting
Inventory executives may be the ones tasked with setting service level targets, but it may be best to collaborate with other functions when making these calls. Finance can share any “red lines” early in the process, and they should be tasked with estimating holding and ordering costs. Sales can help with estimating shortage costs by explaining likely customer reactions to backlogs or lost sales.
The Role of Inventory Optimization and Planning Software
Without inventory optimization software, setting service level targets is pure guesswork: It is impossible to know how any given target will play out in terms of inventory investment, operating costs, shortage costs. The software can compute the detailed, quantitative tradeoff curves required to make informed choices or even recommend the target service level that results in the lowest overall cost considering holding costs, ordering costs, and stock out costs. However, not all software solutions are created equal. You might enter a user defined 99% service level into your inventory planning system or the system could recommend a target service – but it doesn’t mean you will actually hit that stated service level. In fact, you might not even come close to hitting it and achieve a much lower service level. We’ve observed situations where a targeted service level of 99% actually achieved a service level of just 82%! Any decisions made as a result of the target will result in unintended misallocation of inventory, very costly consequences, and lots of explaining to do.So be sure to check out our blog article on how to measure the accuracy of your service level forecast so you don’t make this costly mistake.


This article is about the real power that comes from the collaboration between you and our software that happens at your fingertips. We often write about the software itself and what goes on “under the hood”. This time, the subject is how you should best team up with the software.
I can’t imagine being an inventory planner in spare parts, distribution, or manufacturing and having to create safety stock levels, reorder points, and order suggestions without using key performance predictions of service levels, fill rates, and inventory costs.
In today’s competitive business landscape, companies are constantly seeking ways to improve their operational efficiency and drive increased revenue. Optimizing service parts management is an often-overlooked aspect that can have a significant financial impact. Companies can improve overall efficiency and generate significant financial returns by effectively managing spare parts inventory. This article will explore the economic implications of optimized service parts management and how investing in Inventory Optimization and Demand Planning Software can provide a competitive advantage.
Smart Software to Present at NESCON 2019
Smart Software to lead NESCON keynote address on Planning for the “Un-Plannable”.
Belmont, Mass., July 8, 2019 – Smart Software, Inc., provider of industry-leading demand forecasting, planning, and inventory optimization solutions, today announced that it will present at the NESCON 2019, New England Supply Chain Conference & Exhibition Keynote in Malborough, MA. The presentation is scheduled for Oct. 7, 12:15-1:30 PM.
Greg Hartunian, CEO of Smart Software, under the tittle “Planning for the Un-Plannable”, will present how to plan optimal inventory levels and purchase quantities for thousands of items, when demand is intermittent, constantly changing, or affected by unexpected events. Random, sporadic demand is the worst case scenario for planning and procurement, and leads to excess inventory levels, and costly stock outs. Greg will discuss traditional inventory planning and forecasting approaches, present practical examples of how they can fail, and share how probabilistic modeling methods can make a big difference to your bottom line. The Keynote is a good opportunity to learn how to reduce stock outs and inventory costs, by leveraging data driven decisions that identify the financial trade-offs associated with changes in demand, lead times, service level targets, and costs.
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 Mitsubishi, Siemens, Disney, FedEx, MARS, and The Home Depot. 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 are registered trademarks of Smart Software, Inc. All other trademarks are the property of their respective owners.
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
Webinar: 10 Questions That Reveal Your Company’s True Inventory Policy
Do you know how your organization sets its inventory planning policies and the degree to which you actually apply them? And that they’re doing the job? Demand planning, forecasting, and inventory planning need to be well-defined processes that are understood and accepted by everybody involved. There should be zero mystery.
Please join our webinar featuring Greg Hartunian, CEO of Smart Software, who will review the top 10 questions you should ask to reveal your company’s true planning policy. Doing so will demystify your planning process and help you identify major opportunities for financial savings and process improvement.
We are offering this webinar due to the popularity of our blog
“Reveal your Real Inventory Planning and Forecasting Process by asking these 10 questions.” Greg will explain the importance of each question and describe how to interpret the variety of answers you will likely receive. Armed with this information, you’ll be able to document your process more clearly and identify opportunities for financial savings and process improvement. We will allow time for questions and answers and look forward to a robust discussion.
Please register to attend the webinar. If you are interested but not cannot attend, please register anyway – we will record our session and will send you a link to the replay.
We hope you will be able to join us!
SmartForecasts and Smart IP&O are registered trademarks of Smart Software, Inc. All other trademarks are the property of their respective owners.
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