Inventory Planning & Optimization Blog

Optimize Inventory planning parameters,

improve service levels and increase revenue

Six Steps Up the Learning Curve for New Planners

Six Steps Up the Learning Curve for New Planners

If you are a new professional in the field of inventory management, you face a very steep learning curve. There are many moving parts in the system you manage, and much of the movement is random. You may find it helpful to take a step back from the day-to-day flow to think about what it takes to be successful. Here are six suggestions that you may find useful; they are distilled from working over thirty five years with some very smart practitioners.

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5 Demand Planning Tips for Calculating Forecast Uncertainty

5 Demand Planning Tips for Calculating Forecast Uncertainty

Those who produce forecasts owe it to those who consume forecasts, and to themselves, to be aware of the uncertainty in their forecasts. This note is about how to estimate forecast uncertainty and use the estimates in your demand planning process. We focus on forecasts made in support of demand planning as well as forecasts inherent in optimizing inventory policies involving reorder points, safety stocks, and min/max levels.

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Managing Demand Variability

Managing Demand Variability

Anybody doing the job knows that managing inventory can be stressful. Common stressors include: Customers with “special” requests, IT departments with other priorities, balky ERP systems running on inaccurate data, raw material shortages, suppliers with long lead times in far-away countries where production often stops for various reasons and more. This note will address one particular and ever-present source of stress: demand variability.

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Want to Optimize Inventory? Follow These 4 Steps

Want to Optimize Inventory? Follow These 4 Steps

Service Level Driven Planning (SLDP) is an approach to inventory planning based on exposing the tradeoffs between SKU availability and inventory cost that are at the root of all wise inventory decisions. When organizations understand these tradeoffs, they can make better decisions and have greater variability into the risk of stockouts. SLDP unfolds in four steps: Benchmark, Collaborate, Plan, and Track.

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Recent Posts

  • AUTOMATIC FORECASTING Probabilistic Analytics Demand PlanningAutomatic Forecasting for Time Series Demand Projections
    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. […]
  • NESCON keynote address on Inventory Planning ProcessesSmart Software to Present at NESCON 2020
    Greg Hartunian, CEO of Smart Software, under the tittle "Traditional inventory Planning Processes: Problems and Solutions", will present how to empower planning teams to reduce inventory, improve service levels, and increase operational efficiency. […]