Supply Chain Shaman

FEBRUARY 13, 2020

It is useful to analyze demand data to understand “forecastability” and randomness. Not all data is forecastable, and not all demand optimization engines are equal. The more forecastable the data set, the easier it is to find an optimizer. When I delve into the data, I find: Forecasting Solution Signal Efficacy.

Optimal Sourcing 228

Optimal Sourcing Modeling Forecasting Supply and Demand 228

Supply Chain Shaman

JUNE 24, 2022

We are living in a world of rich supply chain case studies. One of my stark realizations this year is that smaller companies are beating larger and often more established companies on growth metrics, inventory turns, operating margin, and Return on Invested Capital (ROIC). (In Winners focus on margin, not a cost-based agenda.

Supply Chain Planning Software 366

Supply Chain Planning Software Supply Chain Design Software Supply Chain Planning Supply Chain Software 366

SCMDOJO

JANUARY 23, 2023

List of Top 10 Supply Chain Analytics Books 1) Supply Chain Metrics that Matter (Wiley Corporate F&A) 1st Edition This book offers an in-depth guide to understanding the link between corporate financials and supply chain maturity, evaluating the progress of over a hundred companies from 2006-2013.

Prescriptive Analytics Software 119

Prescriptive Analytics Software Analytics Software Supply Chain Planning Software Predictive Analytics 119

Supply Chain Shaman

SEPTEMBER 28, 2022

As a result, companies are writing new case studies through their actions or inaction. Based on the current issues with material shortages, labor issues, electrical costs and outages, weather events, and water availability, I forecast an equal level of disruption for the next three years. Conclusion.

Manufacturing Procurement 195

Manufacturing Procurement Supply Chain Design Software Network Design Software Supply Chain Planning Software 195

Supply Chain Shaman

OCTOBER 8, 2019

The budget is not sufficient and is often a detrimental input for supply chain forecasting. Why Is the Financial Forecast Not a Good Proxy for a Supply Chain Forecast? There are many reasons why the budget cannot be used as a supply chain forecast. The supply chain forecast is a rolling forecast.

Supply Chain Design Software 183

Supply Chain Design Software Inventory Reduction Supply Chain Planning Software Forecasting 183

Supply Chain Shaman

FEBRUARY 18, 2021

I am currently working on a couple of case studies for this blog on how business leaders used digital twin modeling during the pandemic. Watermelon Metrics Don’t Drive The Right Results. I love the metaphor of watermelon metrics. What are functional metrics? It Is Even Worse in the Pandemic.

Supply Chain Planning Software 278

Supply Chain Planning Software Supply Chain Design Software Supply and Demand Procurement Analytics 278

Logistics Viewpoints

AUGUST 4, 2022

If “the forecast is always wrong,” is improving forecast accuracy even the solution to our demand planning woes? Artificial intelligence and machine learning ( AI/ML ) can improve forecast accuracy, but a bigger problem is the failure to set accurate expectations around forecasting models, not the accuracy of the models themselves.

Supply and Demand 246

Supply and Demand Forecasting Forecasting Software Demand Planning 246

Supply Chain Shaman

OCTOBER 8, 2017

On one extreme, there is an argument that forecasts are always wrong, “Why do them at all?” ” At the other end of the continuum is the argument that “ Forecast error is the most important metric to improve.” I do believe in demand planning, but most companies overstate forecast improvements.

Supply and Demand 156

Supply and Demand Supply Chain Design Software Supply Chain Planning Software Forecasting Software 156

Supply Chain Shaman

DECEMBER 17, 2018

Completed in 2012, the ERP project forced the company to standardize organizational design, roles, and metrics. As the number of items being sold grew, they became increasingly more difficult to forecast. A chart from the Terra Technology annual study on demand depicts this relationship. The reason?

Demand Planning Software 245

Demand Planning Software Supply and Demand Supply Chain Planning Software Supply Chain Design Software 245

ThroughPut

JULY 21, 2023

Church Brothers Farms case study serves as a great example. Also, the company wanted to use reliable metrics to determine and rank products for prioritized distribution and order fulfillment that would, in turn, lead to optimized resource management and efforts.

Supply and Demand 52

Supply and Demand Demand Planning Software Inventory Reduction Price Reduction 52

Supply Chain Shaman

JULY 30, 2022

Most companies do not analyze the coefficient of variation (how forecastable the data is), the quality of the demand forecast (Forecast Value-Added) , or the impact of the latency from the dependency on the order signal in the distortion and amplification of the supply signal (bullwhip effect). Imagine Supply Chain 2030.

Supply Chain Design Software 195

Supply Chain Design Software Supply and Demand Supply Chain Planning Software Data 195

Supply Chain Shaman

AUGUST 7, 2019

In Figure 1, we show the aggregate trend of the chemical industry in an orbit chart format showing year-over-year results at the intersection of two metrics operating margin and inventory turns. Determine Forecastability and Forecast Value Added (FVA). Executives will ask, “What is a good target for forecast error?”

Supply Chain Design Software 250

Supply Chain Design Software Supply Chain Planning Software Supply Chain Software Supply Chain Design 250

Supply Chain Shaman

JULY 19, 2015

However, for elements like forecast error, customer service and slow-moving inventory self-reported data is not sufficient. It is for this reason, that I discount the reporting by APQC, Institute of Business Forecasting (IBF) and Grocery Manufacturing Association (GMA) benchmarking data. 2) Characteristics of Best Forecasters.

Benchmarking 150

Benchmarking Supply Chain Planning Software Supply Chain Planning Scenario Planning 150

Supply Chain Shaman

NOVEMBER 14, 2016

Through the next two months, I am focusing on writing and sharing case studies of success. I will write the case studies here, and share the dialogue with the supply chain leaders in our podcast series, Straight Talk with Supply Chain Insights. The ATT forecasting process at that time was best described as a séance.

Supply Chain Planning Software 150

Supply Chain Planning Software Supply Chain Software Supply Chain Planning Supply and Demand 150

Supply Chain Shaman

JULY 12, 2022

Daily, we see business continuity case studies as headline news in the Wall Street Journal. The focus needs to move from functional metrics to balanced scorecard outcomes. Functional metrics insulate organizations and throw the supply chain out of balance. McCormick stock falls on Q2 earnings miss.

Supply and Demand 217

Supply and Demand Supply Chain Planning Software Supply Chain Design Software Optimal Sourcing 217

ToolsGroup

MARCH 1, 2018

Employing machine-learning based forecasting tools, retailers can predict potential sales at the front-end of the assortment planning process. A holistic forecast has been the white whale in retail planning for decades, but with emerging technology – machine-learning , specifically – it’s now feasible. The analogy is pruning a garden.

Inventory Reduction 189

Inventory Reduction Retail Inventory Supply Chain Planning Software 189

SCMDOJO

AUGUST 16, 2023

This case study aims to delve into the significance of supply chain capability for enhancing a company’s competitiveness and how it serves as a competitive advantage for companies. By employing these technologies, Walmart gains valuable insights into customer buying behavior, sales trends, and inventory levels.

Inventory Reduction 74

Inventory Reduction Vendor Strategies Price Reduction Supply Chain Planning Software 74

ThroughPut

DECEMBER 8, 2023

What prescriptive analytics does is it combines the ability to forecast the future with powerful, actionable recommendations that can help you achieve the desired outcomes while considering the constraints, trade-offs, and potential impact of different available choices. It is the most promising form of analytics in the market currently.

Prescriptive Analytics Software 52

Prescriptive Analytics Software Optimal Sourcing Modeling Procurement Analytics 52

SCMDOJO

APRIL 27, 2022

And numerous case studies of businesses show that by investing in better supply chain management , the prospect of business growth improves significantly. Here are the top challenges that the industry faces: Demand Forecasting. Get Demand Forecasting The Ultimate Guide. Stages of Operations in an Apparel Business.

Apparel 114

Apparel Supply Chain Design Software Supply Chain Design Supply Chain Optimization 114

Supply Chain Shaman

JULY 12, 2015

In a recent study of planners, we found that the average planner spends 20% of their time planning and using the technologies. 4) Attention to Detail in Forecasting Processes. The products on the tail are the most difficult to forecast, and are also the most important to get right to manage costs and supply chain cycles.

Supply Chain Planning Software 150

Supply Chain Planning Software Supply Chain Planning S&OP Forecasting 150

ShipBob

APRIL 15, 2024

That’s why you need to closely measure metrics such as gross margin return on investment (GMROI). This metric doesn’t just account for the cost of buying inventory. These two metrics can be calculated using their respective formulae. ShipBob provides a lot of distribution metrics, and everything presented is useful.”

Inventory Reduction 52

Inventory Reduction Material Savings Price Reduction Cost Reduction Strategies 52

Supply Chain Shaman

AUGUST 14, 2016

It is about much, much more than Vendor Managed Inventory (VMI ) or Collaborative Forecasting and Replenishment. An example of social listening is the Lenovo Case Study presented at the 2015 Supply Chain Insights Global Summit. I only know of five case studies of cross-functional listening. Market Drivers.

Material Savings 181

Material Savings Inventory Reduction Price Reduction Cost Reduction Strategies 181

Supply Chain Opz

JULY 7, 2013

Case Studies. Would you like to understand supply chain management concept but dont have time to study from a supply chain textbook ? If you make the demand forecast based on SKU/Store level , using the POS data you get from retailers is more accurate than using your own historical order data. A Case Study.

Supply Chain Design Software 257

Supply Chain Design Software Supply and Demand Supply Chain Planning Software Supply Chain Design 257

Supply Chain Shaman

NOVEMBER 28, 2016

For this case study we interviewed Peter Smith, currently the EVP of Supply Chain for Carter’s. Over the period of 2009-2015, only 88% of companies made improvement on the Supply Chain Metrics That Matter. (As As a group, these metrics have the highest correlation to market capitalization. Improvement. Supply Chain Index.

Supply Chain Design Software 195

Supply Chain Design Software Supply Chain Planning Software Agile and Lean Supply Chain Supply Chain Software 195

Vanguard Software

JULY 20, 2021

Not too long ago, in 2014, Walgreens had a $1 billion forecasting error that led to the exit of two executives. Demand Planning Forecasting Application. Supply Planning consists of estimating and forecasting the appropriate ways to fulfill the projected need found in the demand planning process. Download Brochure.

Supply and Demand 52

Supply and Demand Supply Chain Planning Software Demand Planning Demand Planning Software 52

Supply Chain Shaman

AUGUST 2, 2017

Metrics Definition. The organization needs to be clear on the Metrics That Matter and the alignment of vertical silos’ metrics to the balanced portfolio. Forecasting hierarchies need to roll up to define business requirements, and inventory needs to be reported by form and function. Reporting Structure.

S&OP 154

S&OP Supply and Demand Supply Chain Design Software Supply Chain Planning Software 154

ThroughPut

DECEMBER 6, 2023

.” Unlike diagnostic and descriptive analytics, which were designed to analyze situations after they happened, predictive analytics utilizes advanced data analytics techniques to forecast future outcomes. Time series forecasting focuses on predicting future data points based on past sequences.

Predictive Analytics 52

Predictive Analytics Prescriptive Analytics Software Analytics Software Predictive Analytics Software 52

Kinaxis

FEBRUARY 22, 2018

by Jeswin Philip The Food Packaging Trends and Advances report from PMMI forecasts that the US Food and Beverage industry will experience a 2.9 % CAGR through 2022. Let’s take a closer look at a vendor-managed inventory case study. It’s a prediction that shouldn’t be ignored. Walmart and Pampers: A real-world VMI story.

Vendor Strategies 150

Vendor Strategies Inventory Reduction Beverage Modeling 150

The Logistics & Supply Chain Management Society

JULY 23, 2020

Let us study major highlights of Supply Chains of the future. Most of the current repetitive processes like (forecasting, reports, purchase orders & Invoicing) will be automated using various technologies. Case Study Agility: ZARA. Case Study Resilience: CISCO.

Agile and Lean Supply Chain 258

Agile and Lean Supply Chain Supply Chain Design Software Supply Chain Planning Software Supply Chain Software 258

Elementum

FEBRUARY 7, 2024

Enhancing Business Operations Logistics Management: AI-driven automation revolutionizes logistics by optimizing routing and fleet management, reducing costs, and forecasting disruptions, thus enhancing efficiency and customer satisfaction.

Optimal Sourcing 78

Optimal Sourcing Optimization Software Modeling Prescriptive Analytics Software 78

American Global Logistics

SEPTEMBER 12, 2023

Big Data analytics Artificial intelligence and machine learning enable predictive analytics and demand forecasting, facilitating better decision-making. Collaborative planning, forecasting, and replenishment (CPFR) enable real-time collaboration between suppliers and retailers, enhancing inventory management and reducing stock-outs.

Sourcing Strategies 52

Sourcing Strategies Optimal Sourcing Supply Chain Planning Software Supply Chain Software 52

The Logistics & Supply Chain Management Society

APRIL 15, 2021

Even if you have the “Rolls-Royce” of WMS systems, but run it with big inventory buffers, have poor carrier communications, long replenishment times and an inability to forecast demand—does it really matter? The potential of the business network-based approach to supply chain management, is significant as proven by recent case studies.

Inventory Reduction 259

Inventory Reduction Cost Reduction Strategies Expense Reduction Supply Chain Planning Software 259

Supply Chain Shaman

MARCH 21, 2022

Yet, few are willing to raise their hands and admit that current demand planning processes of forecasting based on order or shipments do not work. The implementation of these models increased process latency (the time to make a decision) and in most organizations degraded Forecast Value Added impacts on the demand plan. Please follow.

Modeling 276

Modeling Supply Chain Planning Software Supply and Demand Supply Chain Design Software 276

Supply Chain Shaman

AUGUST 2, 2017

Metrics Definition. The organization needs to be clear on the Metrics That Matter and the alignment of vertical silos’ metrics to the balanced portfolio. Forecasting hierarchies need to roll up to define business requirements, and inventory needs to be reported by form and function. Reporting Structure.

S&OP 152

S&OP Supply and Demand Supply Chain Design Software Supply Chain Planning Software 152

RFgen

MARCH 10, 2023

Be sure to measure current order picking metrics, such as: Picking accuracy Picking rate Fill rate On-time rate Travel time You may also need to evaluate other relevant inventory KPIs. For example: Inventory accuracy / error rate Order turnaround / cycle time Cost per order And any other metrics valuable to your operation.

Sourcing Strategies 52

Sourcing Strategies Optimal Sourcing Inventory Reduction Cost Reduction Strategies 52

RFgen

JUNE 30, 2023

Case Study: NFPC Enhances ERP to Gain 99.9% Case Study: Plant-Based Food Pioneer Mobilizes Multi-ERP Environment READ THE FULL STORY » Data & Data Forecasting Because modern day ERP systems are built on data, it’s important to clean and migrate solid data sources from the beginning.

Inventory Management Software 76

Inventory Management Software Supply Chain Planning Software Optimization Software Forecasting Software 76

Supply Chain Shaman

JUNE 7, 2018

In five companies that I have worked with in the past quarter, each degraded the forecast (using Forecast Value Add methodology) by 10-18%. An orbit chart is a plotting of data at the intersection of two metrics. In this case, the metrics are operating margin and inventory turns. Houston, We Have a Problem.

Supply Chain Planning Software 223

Supply Chain Planning Software Supply Chain Design Software Optimization Software Forecasting Software 223