ThroughPut

APRIL 15, 2024

In the ever-evolving landscape of global commerce, businesses face a significant challenge: the pain of inaccurate forecasts and the relentless pace of market conditions. The agitation stems from the financial loss and operational inefficiencies accompanying these inaccurate forecasts. AI in supply chain forecasting is a game-changer.

Forecasting 52

Forecasting Forecasting Software Supply Chain Planning Software Modeling 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

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 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

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

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. Besides, AI is helping retailers optimize inventory, warehouse and pricing. AI-driven robots help improve in-store inventory tracking and management.

Case Study 52

Case Study Waste Reduction Inventory Reduction Price Reduction 52

ThroughPut

MARCH 28, 2024

Food Production AI tools can drive advanced predictive analytics with precision forecasting for weather and crop yield predictions. Detection of nutritional constituents and allergens in food, optimizing routes and schedules of food delivery, and inventory management are some of the other ways AI is helping the food production industry.

Case Study 52

Case Study Optimal Sourcing Supply Chain Planning Software Food 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.

Case Study 239

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

ToolsGroup

OCTOBER 25, 2022

More than ever, seasonal inventory needs to be carefully accounted for during the demand forecasting and inventory planning process , ensuring right-sized inventory that can meet customer expectations while limiting the spend and use of working capital. Benefits of Effective Seasonal Inventory Management.

Inventory Reduction 156

Inventory Reduction Inventory Optimal Sourcing Supply and Demand 156

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

Supply Chain Shaman

JANUARY 2, 2024

We talk about complexity, but do not measure the impact on forecastability. All four of these companies were selected as winners of the Gartner Top 25 award, yet all four underperform on growth and no company is driving improvement at the intersection of operating margin and inventory turns. As I write, I scratch my head.

Gartner 287

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

Supply Chain Shaman

OCTOBER 11, 2023

The larger the global corporation, the more that the use of functional goals sub-optimizes growth, margin and inventory levels. 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.

Supply Chain Planning Software 394

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

Talking Logistics

NOVEMBER 19, 2014

When you look at the potential benefits in inventory savings, freight savings, and on-time fulfillment improvements, it’s not that difficult to build the business case. I encourage you to watch the webcast to hear them tell their stories directly, but here’s an overview of A101’s case study. So, what’s been the problem?

Case Study 176

Case Study Optimal Sourcing Study Supply Chain Planning Software 176

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. These datasets allow for accurate inventory management.

Case Study 52

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

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

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.” If S&OP efforts were that effective, don’t you think that we would have made more progress against inventory levels, margin, and growth?

Supply and Demand 388

Supply and Demand Supply Chain Planning Software Modeling Demand Planning 388

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. ToolsGroup has been an invaluable partner, helping us drive growth and achieve greater efficiency through automation while reducing inventory 10%.”

ToolsGroup 156

ToolsGroup Supply Chain Transformation Supply Chain Planning Software Optimal Sourcing 156

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

Unleashed

AUGUST 11, 2020

Effective inventory management is crucial to reducing costs in any manufacturing business. Good food manufacturing software provides a means to track inventory in real-time, through every step of the supply chain. Why your food inventory management system is going stale. Working with fresh food.

Manufacturing Procurement 89

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

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

ToolsGroup

SEPTEMBER 26, 2023

Fabrizio Fantini, Founder and CEO of Evo commented, “Together with ToolsGroup, we can shape the vision for the supply chain of the future – one that powers smarter supply chain decisions for human managers through optimal price and inventory calculations. Resources Learn more about this exciting partnership HERE.

ToolsGroup 296

ToolsGroup Prescriptive Analytics Software Supply Chain Planning Software Modeling 296

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

ToolsGroup

MARCH 1, 2018

Employing machine-learning based forecasting tools, retailers can predict potential sales at the front-end of the assortment planning process. Yet paradoxically retailers front-load inventory to the store, under the belief that goods must be on the shelf to sell. Engineer Profit.

Inventory Reduction 189

Inventory Reduction Retail Inventory Supply Chain Planning Software 189

ThroughPut

JUNE 29, 2024

As a retail inventory planner, you strive to deliver precise replenishment plans—ensuring the right quantity of stock is available at the right time and place. Yet, managing inventory through multiple spreadsheets linked by complex formulas, or using disparate point solutions that don’t integrate, complicates your task.

Inventory Reduction 52

Inventory Reduction Inventory Management Software Supply Chain Planning Software Optimization Software 52

ToolsGroup

JULY 11, 2019

While Franke had standardized on SAP as the master database for all locations where SAP was the ERP system, its homegrown demand forecasting and planning tool hadn’t changed and had many shortcomings. Point to remember #1: Average forecasting just isn’t good enough for today’s complex supply chains. .

Supply Chain Planning Software 223

Supply Chain Planning Software Optimal Sourcing Forecasting Software Optimization Software 223

ToolsGroup

MARCH 28, 2024

Pace first saw the value of the ToolsGroup solutions at the time when he was CEO of PittaRosso, another large Italian retailer of shoes, an experience which has eventually been published as a Harvard Business School case study. increase in sell-through, alongside improved inventory efficiency, contributing to a €4.2

Italy 156

Italy ToolsGroup Inventory Reduction Price Reduction 156

ToolsGroup

AUGUST 28, 2018

Editor’s Note: Microsoft’s Colin Masson, Global Industry Director of Manufacturing Solutions (that's him on the left), sat down with me to discuss how manufacturers optimize their inventories. Colin: How do inventory optimization (IO) and multi-echelon inventory optimization (MEIO) enable manufacturers to operate more efficiently?

Optimal Sourcing 136

Optimal Sourcing Manufacturing Procurement Optimization Software Modeling 136

Supply Chain Shaman

AUGUST 12, 2022

Analyze the Coefficient of Variation (COV) at different points in the demand hierarchy to understand forecastability, and analyze the bias, FVA and latency of the current plan. He was also unaware of how to measure Forecast Value-Added, the Bullwhip impact and the health of inventory. Hire a consultant to help.

Supply Chain Design Software 195

Supply Chain Design Software Supply Chain Planning Software Modeling Modeling Software 195

ToolsGroup

APRIL 13, 2020

If you do the math there, you have to make 748,000 inventory decisions per month. So our main task now is to consolidate all the purchase and inventory decisions in one team. Rafael: The main two challenges we’ve had are volume, in our case reduction, and the forecast uncertainty. We had to close within one day.

Supply Chain Planning Software 296

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

ThroughPut

MAY 24, 2024

Managing inventory in a supply chain is complex due to issues like downtime, delays, and demand fluctuations. Multi-Echelon Inventory Optimization (MEIO) is the solution, offering a sophisticated approach to optimizing stock levels, reducing costs, and improving service. What is Multi-Echelon Inventory Optimization?

Optimal Sourcing 52

Optimal Sourcing Modeling Inventory Reduction Optimization Software 52

SCMDOJO

JANUARY 23, 2023

It covers major supply chain processes such as managing supply and demand, warehousing, inventory control, transportation, and route optimization. It emphasizes the importance of applying a scientific method, including experimentation, observation, and constant questioning, to achieve excellence in demand forecasting.

Prescriptive Analytics Software 132

Prescriptive Analytics Software Analytics Software Supply Chain Planning Software Predictive Analytics 132

QAD

OCTOBER 15, 2024

In today’s rapidly evolving manufacturing landscape, achieving operational excellence requires more than simply hitting production targets or managing inventory levels. Through real-world case studies, we’ll uncover four scenarios where seemingly well-performing areas can actually be masking deeper, systemic issues.

Optimal Sourcing 52

Optimal Sourcing Forecasting Scenario Planning Manufacturing Procurement 52

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. We find that the companies with the most marked improvement in a balanced scorecard of growth, inventory turns, operating margin, and Return on Invested Capital (ROIC) are smaller and less well-known.

Gartner 364

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

ToolsGroup

AUGUST 28, 2018

Editor’s Note: Microsoft’s Colin Masson, Global Industry Director of Manufacturing Solutions (that's him on the left), sat down with me to discuss how manufacturers optimize their inventories. Colin: How do inventory optimization (IO) and multi-echelon inventory optimization (MEIO) enable manufacturers to operate more efficiently?

Optimal Sourcing 120

Optimal Sourcing Manufacturing Procurement Optimization Software Modeling 120