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

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 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. Today, it has grown into a multinational sole-source technology supplier of medical components and antimicrobial products to the US military and various healthcare organizations. Noble Biomaterials now sees numerous benefits such as: One source of truth covering all operations.

Case Study 52

Case Study Study Optimal Sourcing Supply Chain Planning 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.

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Case Study Study Negotiating Skills Supply Chain Planning Software 279

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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Case Study Optimal Sourcing Study Supply Chain Planning Software 176

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

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

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. Insect protein Insects are a highly nutritious, dense source of protein.

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

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.) Go to the source. ” Anna, this blog post is for you.

Supply and Demand 388

Supply and Demand Supply Chain Planning Software Modeling Demand Planning 388

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.

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

Arena Solutions

OCTOBER 10, 2024

Succeeding at Strategic Sourcing With Arena and Part Analytics Learn more about the integration between Arena and Part Analytics here. Full transcript below: Heatherly Bucher Welcome to our session on Succeeding at Strategic Sourcing. Engineering and sourcing professionals build the platform for engineering and sourcing.

Analytics Software 61

Analytics Software Negotiating Skills Sourcing Strategies Purchasing Skills 61

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. The Role of Demand Variability in Risk Mitigation from the 2015 Study.

Optimal Sourcing 235

Optimal Sourcing Modeling Forecasting Supply and Demand 235

ToolsGroup

JULY 11, 2019

According to Inbound Logistics , there are three main sources of supply chain complexity: meeting the needs of customers, globalization, and internal pressures. Point to remember #1: Average forecasting just isn’t good enough for today’s complex supply chains. . Probability forecasting is much more than a statistical method.

Supply Chain Planning Software 223

Supply Chain Planning Software Optimal Sourcing Forecasting Software Optimization Software 223

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. Automation.

Manufacturing Procurement 89

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

Supply Chain Shaman

OCTOBER 12, 2017

I get the fact that today’s forecasts are not good enough to drive replenishment, and that rules-based consumption to translate monthly demand to daily demand was a mistake. They calculate the buffer based on what is close to a naive forecast based on incoming orders. (In In my simple mind, I think of this as a forecast… ).

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Supply Chain Planning Software Forecasting Software Demand Planning Software Supply Chain Software 298

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

ToolsGroup

DECEMBER 11, 2018

Source: Gartner 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.

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

Supply Chain Game Changer

NOVEMBER 23, 2018

The application of advanced forecasting and planning methodologies improve inventory management in a critical, high-volume repair business, dramatically reducing costs and fulfillment cycles while improving customer satisfaction. Difficulties forecasting demand in a high-volume repair environment caused inventory costs to skyrocket.

Optimal Sourcing 43

Optimal Sourcing Reverse Logistics Case Study Modeling 43

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. And that is good news.

Forecasting 50

Forecasting Supply Chain Planning Supply Chain Design Supply Chain Optimization 50

SCMDOJO

JUNE 27, 2024

Impact of Political Stability in Oil-Producing Regions Political instability in key oil-producing regions can disrupt supply lines and inflate costs, necessitating robust contingency planning and diversification of supply sources.

Sourcing Strategies 98

Sourcing Strategies Price Reduction Vendor Strategies Inventory Reduction 98

ToolsGroup

APRIL 13, 2020

Rafael: The main two challenges we’ve had are volume, in our case reduction, and the forecast uncertainty. So Honduras suddenly stopped, and we had so many items in transit, so right now we’re overstocked by 140%, and we’re trying to deal with that using external sources. Decisions were made within 24 hours.

Supply Chain Planning Software 296

Supply Chain Planning Software Supply Chain Software Forecasting Software Supply Chain Optimization 296

The Logistics & Supply Chain Management Society

NOVEMBER 22, 2022

Travin Singh (creator behind Crust Brewing) realised that if he could find bakery partners, he basically had access to a cheap local source of beer making raw materials. The circular economy is a cost saver and generally has less carbon emissions, because raw materials are sourced locally and therefore with less transportation.

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Manufacturing Procurement Material Savings Singapore Waste Reduction 245

Logistics Bureau

MAY 24, 2019

The following five mini case studies explore a few high-profile companies that have managed to sustain their supply chain cost-reduction efforts and keep expenses under control. Later, it became apparent that although a redesign would yield some benefits, one of the most significant issues was in the approach to demand forecasting.

Cost Reduction Strategies 55

Cost Reduction Strategies Inventory Reduction Expense Reduction Price Reduction 55

SCMDOJO

OCTOBER 30, 2024

Conversely, a student who quickly grasps procurement strategies can be challenged with advanced case studies and leadership projects. MTSS platforms facilitate hands-on projects where learners can apply statistical methods to identify trends, forecast demand, and optimize inventory levels.

Supply Chain Planning Software 92

Supply Chain Planning Software Analytics Software Forecasting Software Predictive Analytics Software 92

ToolsGroup

JULY 11, 2019

According to Inbound Logistics , there are three main sources of supply chain complexity: meeting the needs of customers, globalization, and internal pressures. Point to remember #1: Average forecasting just isn’t good enough for today’s complex supply chains. . Probability forecasting is much more than a statistical method.

Supply Chain Planning Software 120

Supply Chain Planning Software Optimal Sourcing Forecasting Software Optimization Software 120

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. These capabilities do not exist at Ford.

Manufacturing Procurement 195

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

ThroughPut

JUNE 19, 2024

Inaccurate forecasting risks overstocking—leading to increased waste—or understocking, resulting in missed sales opportunities. These figures underscore the national issue and the operational challenges faced by businesses caught in the cycle of inaccurate demand forecasting.

Supply and Demand 52

Supply and Demand Predictive Analytics Software Demand Planning Software Supply Chain Planning Software 52

The Logistics & Supply Chain Management Society

AUGUST 19, 2022

In extreme cases, firms simply state that a product comes from one country when, in actual fact, it was manufactured in a country that is impacted by the higher tariff being imposed. Ensuring that any approach is fully compliant in order to avoid having to relocate production or supply sources often takes up a lot of internal resources.

Cost Reduction Strategies 245

Cost Reduction Strategies Material Savings Inventory Reduction Vendor Strategies 245

Logistics Viewpoints

MARCH 4, 2021

Digital commerce efficiently requires the digitalization of many customer-facing operations and sourcing and procurement. Supply chain planning involves interaction with different types of information based on internal and external data sources. These data sources are often spread across multiple platforms and come in various formats.

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Supply Chain Planning Software Supply Chain Planning Scenario Planning Modeling 277

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 157

Supply and Demand Supply Chain Design Software Supply Chain Planning Software Forecasting Software 157

Supply Chain Shaman

NOVEMBER 12, 2018

Companies that are good at demand management understand the need for design–form & function of inventory and push/pull decoupling points –and the orchestration of demand to make better decisions in sourcing, transportation and delivery. Retail forecasts are never a good source of data for the manufacturer.

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Supply and Demand Modeling Inventory Reduction Manufacturing Procurement 170

ThroughPut

SEPTEMBER 13, 2024

You can consolidate your demand sensing, forecasting, planning, capacity planning, S&OP planning, order management, and inventory management efforts on a single platform, making it possible to cohesively work toward revenue generation and higher ROI. were assessed for meaningful insights.

Supply Chain Planning Software 52

Supply Chain Planning Software Food Optimal Sourcing Supply and Demand 52

ThroughPut

MAY 22, 2024

Following this, data sources are identified and shared, and success metrics and business outcomes are defined so that everyone works toward the same goals. Such quality validation is crucial, as a seemingly simple mislabeling of a product category could potentially lead to, for example, a 10% inefficiency in demand forecasting.

Supply Chain Planning Software 52

Supply Chain Planning Software Optimal Sourcing Modeling Inventory Reduction 52

Supply Chain Shaman

DECEMBER 17, 2018

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 block chart below tracks the relationship between the stable, forecastable product, the variable product, and the unpredictable product.

Demand Planning Software 256

Demand Planning Software Supply and Demand Supply Chain Planning Software Supply Chain Design Software 256