Supply Chain Shaman

OCTOBER 25, 2017

A Closer Look at Forecasting. Traditionally companies forecast using history (shipments or orders) and applying linear regression to understand the patterns of historical demand using these to estimate future requirements in a time-series format. Spairliners: A Case Study in Probabilistic Forecasting.

Forecasting 152

Forecasting Forecasting Software Modeling Supply Chain Planning Software 152

ThroughPut

AUGUST 22, 2024

Click to Download Case Study About Church Brothers Farms Church Brothers Farms is a leading vertically integrated, family-owned, US-based vegetable producer, supplier, and processor that prioritizes customer experience and provides the highest quality produce in an increasingly competitive and volatile market.

Optimal Sourcing 52

Optimal Sourcing Forecasting Modeling Forecasting Software 52

ToolsGroup

JANUARY 30, 2018

Trade promotion forecasting is difficult: getting it right involves factoring in many variables. Forecasting demand data, not so much. To do this, the first hurdle is creating a good statistical baseline forecast. To do this, the first hurdle is creating a good statistical baseline forecast.

Forecasting 184

Forecasting Forecasting Software Supply Chain Planning Software Analytics Software 184

AIMMS

JULY 8, 2019

Sales and Operations Planning and demand forecasting are two sides of the same coin. For many, a well-executed S&OP process should start with a demand forecast on one end and supply and resource plans to meet that forecast on the other. Demand forecasts are only becoming less accurate. – Tweet this.

Forecasting 156

Forecasting Forecasting Software Demand Planning Software AIMMS 156

ToolsGroup

DECEMBER 12, 2017

Since the beginning of time – OK, since the beginning of demand forecasting the standard approach has been a single number forecast that works relatively well with stable high volume demand. Traditional forecasting tools such as SAP APO, designed 25 years ago or more, generally hold their own in this environment. Under the Hood.

Forecasting 185

Forecasting SAP Forecasting Software Modeling 185

Supply Chain Shaman

APRIL 29, 2024

Then build business case studies (think back to your business school case studies) describing the opportunity. Put your case studies in your briefcase. Many of my clients are degrading the forecast when Forecast Value Added (FVA) methodology is applied and only 50% of items are forecastable.

Supply Chain Planning Software 394

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Forecasting Software 394

Supply Chain Shaman

SEPTEMBER 22, 2024

The organization had little energy to test forecasting models. I then asked about his success with Forecast Value Added (FVA) analysis. In his speech, he shared a case study on improving logistics costs in the face of variability through advancements in AI. I asked if he had tested the models by backcasting.

Cost Reduction Strategies 378

Cost Reduction Strategies Waste Reduction Inventory Reduction Supply Chain Planning Software 378

Aioneers

DECEMBER 9, 2021

In that case, supply chain planning as a service can be a good alternative by utilizing the expertise of specialized data scientists to increase the quality of your forecasts. Suppose you do not have this expertise in-house.

Forecasting 52

Forecasting Case Study Consumer Goods Supply Chain Planning 52

Talking Logistics

MAY 20, 2013

Many companies have collaborative planning and forecasting processes with suppliers and manufacturing partners, but very few companies translate demand and production forecasts into transportation capacity requirements. In this episode, Adrian discusses the key challenges and opportunities associated with transportation forecasting.

Forecasting 156

Forecasting Forecasting Software Transportation Manufacturing Procurement 156

Supply Chain Opz

JUNE 1, 2014

Analysis of case study is certainly one of the most popular methods for people from business management background. In order to accelerate the learning, this article has gathered 20+ most sought-after supply chain case studies, analyzed/categorized them by industry and the findings are presented.

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Case Study Supply Chain Planning Software Supply Chain Design Software Study 239

ThroughPut

MARCH 27, 2024

Every aspect of operations, be it managing the inventory, forecasting demand or fulfilling orders was dependent on human wisdom and intuition. Benefits of AI in the Retail Industry Enhancing Accuracy in Demand Forecasting Forecasting demand has never been this accurate before. How is AI Revolutionizing Retail Supply Chains?

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ThroughPut

MARCH 28, 2024

Food Production AI tools can drive advanced predictive analytics with precision forecasting for weather and crop yield predictions. Accurate Demand & Price Forecasts AI facilitates precision in demand and price forecasting with the help of historical data and market trends. All for the good. They turned to Throughput.ai

Case Study 52

Case Study Optimal Sourcing Supply Chain Planning Software Food 52

QAD

SEPTEMBER 22, 2021

Case Study #1: Noble Biomaterials. Initially, the motivation was optimizing their financial and accounting operations, but eventually management and IT teams also wanted one source of truth to support company-wide processes, like sales forecasting and planning, maintenance planning, quality management and fixed asset management.

Case Study 52

Case Study Study Optimal Sourcing Supply Chain Planning Software 52

ToolsGroup

OCTOBER 14, 2024

Moreover, maintaining optimal service levels while balancing inventory costs is a delicate act that requires sophisticated forecasting and inventory management techniques, underlining the importance of advanced spare parts management solutions.

Inventory Reduction 156

Inventory Reduction Negotiating Skills Optimal Sourcing Cost Reduction Strategies 156

Gravity Supply Chain

JUNE 6, 2022

Improved ability to control costs, monitor margins, and forecast stock levels. Download full case study here. The post Case Study: Röhlig Logistics and Gravity Supply Chain Solutions appeared first on Gravity Supply Chain. Optimised planning of inbound delivery. Minimized reaction time to risks and delays.

Case Study 52

Case Study Study Supply Chain Planning Software Logistics Network Optimization Software 52

Supply Chain Opz

JANUARY 7, 2013

Case Studies. A Case Study. This case study will show you the analysis of Apple Supply Chain core processes, challenging issues and complexities of its operations. Information about Apple Supply Chain is a bit here, there and everywhere, its kinda tough to find the actual case study.

Case Study 279

Case Study Study Negotiating Skills Supply Chain Planning Software 279

ToolsGroup

MAY 2, 2023

FeaturedCustomers evaluated all the potential Demand Forecasting Software companies on its platform for possible inclusion in the Customer Success Report. The report is based on the curation of authenticated case studies, testimonials, and videos from across the web, telling a complete story of vendors through real customer experiences.

ToolsGroup 156

ToolsGroup Forecasting Software Supply Chain Design Software Supply Chain Planning Software 156

Unleashed

APRIL 4, 2023

We also break down several case studies of companies currently using machine learning in their supply chain processes. These include but are not limited to identifying stock fluctuations, forecasting trends and demands for products, and optimizing delivery processes. What is machine learning?

Case Study 52

Case Study Supply Chain Planning Software Supply Chain Software Forecasting Software 52

Supply Chain Shaman

OCTOBER 11, 2023

I often laugh when companies ask me to define a good forecast. For me, a good forecast has zero demand latency, minimal bullwhip effect, little bias, and improvement in Forecast Value Added (FVA) analysis. Few companies that I work with are familiar with these terms. I think clearer. My request.

Supply Chain Planning Software 394

Supply Chain Planning Software Supply Chain Software Forecasting Software Supply Chain Network Software 394

Talking Logistics

NOVEMBER 19, 2014

I encourage you to watch the webcast to hear them tell their stories directly, but here’s an overview of A101’s case study. The underlying issue was inaccurate sales forecasts from the stores, which were not detailed enough, coupled with a manual planning process and the fact that demand varied by store and region.

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ThroughPut

OCTOBER 7, 2022

Step Up Demand Planning Efforts with a Robust Forecasting Model . Demand forecasting can be a game changer in today’s volatile environment. Infact, according to McKinsey , applying AI-driven demand forecasting to supply chain management can cut down errors by 20-50% and this helps reduce lost sales by 65%.

Forecasting 52

Forecasting Modeling Supply and Demand Forecasting Software 52

ToolsGroup

FEBRUARY 28, 2024

That’s why Evo CEO Fabrizio Fantini jumped at the chance to work with Harvard Business School Professor Sunil Gupta to participate in a case on Miroglio’s huge success increasing profits through in-season inventory optimization. Read the case on Harvard Business School website Read here →

Network Optimization 156

Network Optimization Supply Chain Optimization Inventory Price Mitigation Strategies 156

Unleashed

AUGUST 12, 2021

How food manufacturers are taking advantage of the alternative protein trend: A case study One recently launched New Zealand company, Food Nation , is proving a winner in the alternative protein space. The soy milk market, for example, has grown rapidly in recent years and is forecast to reach more than US$11 billion by 2025.

Manufacturing Procurement 98

Manufacturing Procurement Case Study Food Study 98

Vanguard Software

MAY 4, 2021

However, there are quite a few ways to improve demand forecast accuracy. Here are seven ways to improve demand forecast accuracy for increased operational efficiency and profit. The Business Case for Demand Forecasting. The first step in the forecast process is to determine assumptions, or starting values.

Forecasting 52

Forecasting Forecasting Software Supply and Demand Modeling 52

Vanguard Software

MAY 4, 2021

However, there are quite a few ways to improve demand forecast accuracy. Here are seven ways to improve demand forecast accuracy for increased operational efficiency and profit. The first step in the forecast process is to determine assumptions, or starting values. Produce a range of forecasts. Webinar: Register Now.

Forecasting 52

Forecasting Supply and Demand Forecasting Software Modeling 52

Logistics Viewpoints

JULY 13, 2016

I am always interested in case study presentations, as I find that I learn a lot about how companies are applying their technology and business processes to solve a problem. These case studies are also an opportunity to give other practitioners a different way to look at a problem they may be experiencing as well.

Forecasting 100

Forecasting Forecasting Software Case Study ToolsGroup 100

ToolsGroup

SEPTEMBER 13, 2023

Probabilistic planning uses probability theory to forecast demand and optimize inventory. Probabilistic Forecasting Your forecast is the foundation of your supply chain planning process, and the key to forecast accuracy is probabilistic forecasting. New to probabilistic forecasting?

Inventory Reduction 156

Inventory Reduction Resource Reduction Waste Reduction Supply Chain Planning Software 156

Supply Chain Shaman

JANUARY 2, 2024

We talk about complexity, but do not measure the impact on forecastability. In the event model, companies present case studies and opinions without a factual framework. No one questions if the case study improved the company’s competitiveness in the market. Speaker content is not vetted against a standard.

Gartner 287

Gartner Supply Chain Planning Software Supply Chain Design Software Case Study 287

ToolsGroup

NOVEMBER 9, 2023

With ToolsGroup’s AI-powered demand forecasting, the plant-based food innovator revolutionizes its supply chain, maximizing accuracy, speed, and business performance. For more information about how AI-powered probabilistic forecasting lays the foundation for supply chain growth, read the full case study here.

ToolsGroup 156

ToolsGroup Supply Chain Transformation Supply Chain Planning Software Optimal Sourcing 156

ToolsGroup

JUNE 15, 2023

We learned about our new world of VUCA – Volatility, Uncertainty, Complexity, Ambiguity That deterministic plans are very traditional and rely on trying to improve the demand forecast and create a plan for the perfect world. With more visibility and predictive forecasting. Probabilistic forecasting continues gaining momentum.

Gartner 293

Gartner Supply Chain Planning Software Supply Chain Software Supply Chain Design Software 293

Unleashed

AUGUST 11, 2020

Any business that hopes to operate optimally must be able to meet its customer service targets, capitalise on opportunities, manage risk effectively, forecast demand with precision and scale successfully in a dynamic and highly competitive marketplace. CASE STUDY 1: Gourmet Organic Herbs. CASE STUDY 2: Brandini Toffee.

Manufacturing Procurement 89

Manufacturing Procurement Inventory Management Software Supply Chain Planning Software Forecasting Software 89

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 235

Optimal Sourcing Modeling Forecasting Supply and Demand 235

Supply Chain Shaman

SEPTEMBER 13, 2023

Given your expertise, I’d love to hear what alternatives you recommend for better demand forecasting and real-time visibility beyond what’s commonly adopted today.” I find 80-90% of companies are degrading the forecast through traditional thinking.) Solving from a supply side seems to work for many companies I work with.

Supply and Demand 388

Supply and Demand Supply Chain Planning Software Modeling Demand Planning 388

Supply Chain Game Changer

MARCH 19, 2019

The Planning and Budget cycle within most companies must start with a forecast of future sales and revenue. The Sales and Marketing team is usually responsible for pulling that forecast together. They are likely to pull together several sources of data in order to create that revenue forecast. A Sales Forecast Gone Badly Wrong.

Forecasting 50

Forecasting Supply Chain Planning Supply Chain Design Supply Chain Optimization 50

Supply Chain Shaman

JUNE 21, 2023

Many of the case studies being presented at today’s conferences were born during the pandemic and the post-pandemic turbulence. As a result, the lessons given in case studies and at industry forums do not help the industry progress. While companies talk digital, the projects follow traditional supply-centric paths.

Gartner 364

Gartner Supply Chain Planning Software Supply Chain Design Software Supply Chain Planning 364

AIMMS

JULY 8, 2019

Sales and Operations Planning and demand forecasting are two sides of the same coin. For many, a well-executed S&OP process should start with a demand forecast on one end and supply and resource plans to meet that forecast on the other. Demand forecasts are only becoming less accurate. Related resources .

Forecasting 52

Forecasting Forecasting Software Supply and Demand Demand Planning Software 52

ToolsGroup

DECEMBER 11, 2018

Gartner recently polled both users and vendors on which supply chain planning (SCP) applications are employing machine learning and in three different analysis, demand planning and demand forecasting came out top of the list. Our first Gartner machine learning customer case study appeared five years ago.

Supply and Demand 214

Supply and Demand Supply Chain Planning Software Supply Chain Planning Demand Planning 214