Logility

JUNE 23, 2023

That’s precisely what demand forecasting feels like for many businesses today. Enter causal forecasting. All these elements can help you predict where demand is heading. Unfortunately, many companies hesitate to use causal forecasting, thinking it’s too complicated or resource-hungry. Sounds familiar?

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ThroughPut

MARCH 24, 2024

Earlier in the day, demand planning was a guessing game that relied more on intuition, instinct, and inclination. Companies that leveraged the data they collected to enable more accurate demand planning, distinguished themselves from their competitors. Why do you Need Modern Demand Sensing to Solve Modern Problems?

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Logility

SEPTEMBER 7, 2023

How AI powered demand planning solutions revolutionize the role of demand planners In today’s fast-paced and competitive business landscape, organizations are constantly seeking ways to optimize their operations and improve their supply chain.

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QAD

APRIL 10, 2024

The adoption of demand forecasting tools can help overcome the challenges of demand fluctuation in a timely manner. A reliable system should provide accurate forecasts and recommendations to optimize inventory management and prevent unnecessary costs. However, ensuring the quality of a forecast is not an easy task.

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CHAINalytics

DECEMBER 7, 2021

Getting better statistical forecasts involves choosing the right technology, applying multiple forecast optimisation techniques, and a continuous improvement approach. Has your demand planning organisation adopted these methods?

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Logility

MARCH 25, 2020

The promise of demand sensing is that we can do a better job of anticipating and planning for short-term changes in demand. For today’s supply chain planner, the art and especially the science of forecasting demand have evolved. The goal of demand sensing. The limitations of time-series forecasting.

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Logility

JANUARY 14, 2020

Year after year, survey after survey, forecast accuracy continues to be one of the top metrics for measuring supply chain performance. Russell Goodman, editor-in-chief at SupplyChainBrain , sat down with several supply chain leaders to discuss the impact of Forecast Accuracy on driving better decision making.

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ToolsGroup

NOVEMBER 2, 2020

Melitta Sales Europe (MSE) embarked on an initiative to revamp existing planning and forecasting processes to increase efficiency and sustainability. With over 6,700 SKUs across various brands and locations, the team needed to modernize its sales and operations planning (S&OP) process with new technology. A Perfect Brew.

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ToolsGroup

MARCH 3, 2021

Demand for fashion products also has complex characteristics, with hard-to-predict, sporadic demand, high volatility and impulsive purchases. This article will explore the different retail channels and reveal tips for finally mastering demand forecasting for the fashion industry. trillion U.S. dollars in 2020 to about 2.25

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Arkieva

MARCH 12, 2024

Forecast accuracy is at the top of the list of things that help a business plan better for the future. This blog previews how to improve forecast accuracy. How to Improve Forecast Accuracy was first posted on March 12, 2024 at 8:19 am.

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Logility

JUNE 2, 2023

In the intricate world of supply chain management, the accuracy of demand forecasting often serves as the cornerstone of business growth. The very foundation of operational efficiency, customer satisfaction, and overall profitability hinges upon the ability to predict demand with precision. What is Demand Forecasting Accuracy?

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ThroughPut

DECEMBER 5, 2023

Keeping up with demand and market trends challenges most supply chain operators. Accurately forecasting sales with fluctuating demand cycles is difficult to achieve, and yes, there’s a direct impact: the less accurate the sales forecast, the less precise the stocking levels. What is Demand Forecasting?

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Arkieva

SEPTEMBER 14, 2021

A successful demand planning process accurately forecasts demand and revenue streams, and subsequently drives the next steps in the S&OP process which are Inventory, Supply Planning, and Optimization. Automated Forecasting was first posted on September 14, 2021 at 8:38 am.

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Logility

SEPTEMBER 9, 2023

The need for more resilient supply chains and better demand forecasting was becoming more essential. With the rise of companies looking to implement AI into their supply chains, more accurate forecasts are within reach. Planners’ visibility to trade policies may have helped with alternate sourcing plans ahead of plant closure.

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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. These inaccuracies can lead to overstocking or understocking, missed opportunities, and a failure to meet customer demand. What is Supply Chain Forecasting?

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Logility

MARCH 6, 2020

Machine Learning for demand forecasting has matured to a level of accuracy, transparency and replicability that translates into transformative results, including in these five areas: Accuracy, transparency, thoroughness of analytical options and results. Greed for more data.

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EazyStock

OCTOBER 31, 2022

What is demand planning? Demand planning is part of a company’s planning strategy to allocate resources in the best and most effective way to meet demand and respond to demand changes. Why is demand planning important? Is demand planning the same as demand forecasting?

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EazyStock

OCTOBER 31, 2022

What is demand planning? Demand planning is part of a company’s planning strategy to allocate resources in the best and most effective way to meet demand and respond to demand changes. Why is demand planning important? Is demand planning the same as demand forecasting?

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Logility

SEPTEMBER 20, 2023

Statistics, ML & AI in Demand Planning Software: Are All Created Equal? Meanwhile, the latest evolutions in AI and ML have unlocked previously unheard-of data-processing and forecasting capabilities.

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Logistics Viewpoints

JUNE 8, 2022

It is hard to believe it has been two years since I was faced with forecasting WMS and warehouse automation market growth rates in the midst of the COVID-19 pandemic. These events make accurate forecasting very difficult. I tend to use time series analysis as an anchor to my forecast, as I suspect many of you do.

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CHAINalytics

JULY 30, 2020

Last month, Chainalytics’ Neelesh Asati moderated a panel discussion on demand planning and forecasting during COVID-19 hosted by Logistics Insider. It was an engaging conversation between supply chain veterans from Kellogg India, Flipkart, 3SC, and CJ Darcl.

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ToolsGroup

JUNE 17, 2021

Accurate forecasting of uncertain demand. The first step for maintaining service amid uncertainty is to better understand demand. Demand modeling systems look at the specific factors driving demand at a granular and daily level for individual SKU-Locations. Here are four tactics planners can use now to get ahead.

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ToolsGroup

NOVEMBER 27, 2018

Editor’s Note: Two years ago we posted a blog about how to set an annual forecast accuracy target and it was one of our most popular topics. It seems as if everyone is looking to improve their forecasting performance. How much can you realistically expect to improve your forecast accuracy each year?

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ToolsGroup

MARCH 3, 2022

This is because the weather influences consumer buying behavior everyday – and it never stops changing; no other external variable shifts demand trends as immediately, frequently, and meaningfully. Despite knowing all this, too many retailers ignore the impact of weather and this adds error to plans and demand forecasts.

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ThroughPut

MARCH 25, 2024

Demand forecasting is a critical component of supply chain management, especially in the complex and unpredictable market landscape of 2024. Accurate forecasts are essential for maintaining inventory balance, ensuring customer satisfaction, and achieving financial stability. What is Demand Forecasting?

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CHAINalytics

APRIL 12, 2022

Many businesses use traditional statistical forecasting methods in demand planning processes, and they are effective for most basic needs. But there are more advanced data science approaches which can improve the accuracy of forecasts and provide additional insight into their drivers.

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ToolsGroup

MAY 19, 2021

Demand forecasting is tough, and getting it right over the entire product lifecycle during the course of launch, maturation, and end-of-life is tougher still. Forecasting new product introductions is difficult because you don’t have sales history, and you don’t have a good idea of how quickly the product will take off.

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Arkieva

AUGUST 17, 2021

Having access to an accurate forecast is very beneficial for businesses. At a more tactical level, it can help reduce the costs associated with meeting the customer demand and make the supply chain more efficient. How Forecastable is Your Data? was first posted on August 17, 2021 at 8:05 am.

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SYSPRO Smarter ERP

MARCH 29, 2023

As discussed in the previous blog post, the demand planning process, whose success depends on effective collaboration between teams from various departments, was negatively affected by the pandemic. Below are some of the approaches that organisations adopted to overcome the new challenges in demand planning.

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Logility

APRIL 21, 2020

The ability to effectively forecast demand is essential for supply chain management decisions. In fact, demand forecasts are used throughout the supply chain including supply chain design, purchasing, operations, inventory, and sales and marketing. Better estimates of demand. So what’s the upside?

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Arkieva

MAY 10, 2022

Is there an equivalent to the Hippocratic Oath for forecasters? What harm(s) can a forecaster easily avoid? The Hippocratic Oath for Forecasters was first posted on May 10, 2022 at 9:02 am. This blog explores some examples.

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Silvon Software

JANUARY 25, 2023

Collaboration between Sales and Operations professionals in the demand planning process is critical if you want to achieve better delivery rates, higher service levels, fewer stock-outs and increased customer satisfaction. THE DEMAND PLANNING PROCESS (FOR SALES) Simplify the inputs needed by Sales.

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The Smart Software

SEPTEMBER 5, 2023

Forecasting inventory requirements is a specialized variant of forecasting that focuses on the high end of the range of possible future demand. Traditional methods often rely on bell-shaped demand curves, but this isn't always accurate. The post How to forecast inventory requirements appeared first on Smart Software.

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QAD

MARCH 13, 2024

” This also applies to the Supply Chain and the demand planning process. Achieving an effective demand planning process involves getting different parts of the organization together. This includes understanding customer demand, sales forecasting and other strategic planning decisions.

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ToolsGroup

FEBRUARY 28, 2023

So we’re excited to be delivering significant enhancements to our solution and expanding our already formidable and innovative forecasting , inventory optimization , and replenishment capabilities that help our customers deliver on promises to their customers, while reducing inventory (and their carbon footprints) and boosting profitability.

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