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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AIMMS

SEPTEMBER 9, 2019

Part II in our series on assessing your Demand Forecasting process . In Part I of this series , we looked at supply chain professionals’ perception of forecast accuracy and how they see their forecast evolving in the future. The use of technology for demand forecasting is widespread .

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ToolsGroup

FEBRUARY 21, 2018

Eight years ago ToolsGroup was one of the first supply chain planning software vendors to employ machine learning to improve demand forecasting. Even in 2014 when Gartner wrote a case study about Danone using our machine learning to help forecast promotions, it was barely a blip on the horizon. See diagram above ).

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SYSPRO Smarter ERP

MAY 10, 2023

As supply chain operations continue to evolve rapidly, organisations continuously seek ways to leverage deep consumer insights by incorporating a wide range of variables in their demand planning process. Therefore, they calculate demand forecasts that respond to changing market conditions and consumer behaviour in real-time.

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ToolsGroup

SEPTEMBER 9, 2020

How Do You Turn a Good Demand Forecast into the Optimum Inventory Plan? Your customers don’t care if you have a great demand forecast. How do you turn a good forecast into a great inventory plan? How do you turn a good forecast into a great inventory plan? A solid foundation can segment demand signals.

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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

JANUARY 10, 2023

How can you account for returns in your demand forecasting? Surviving the Impact of Holiday Returns on Demand Forecasting was first posted on January 10, 2023 at 8:20 am. ©2017 " Supply Chain Link Blog - Arkieva " Use of this feed is for personal non-commercial use only.

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Arkieva

AUGUST 5, 2020

In the simple version of supply chain management (SCM) the goal for demand forecasting in the tactical decision tier is prediction accuracy. In the wiser version, the purpose is expanded to include an understanding of your demand (demand profiling). Please contact me at hyeboah@arkieva.com.

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New Horizon Supply Chain Blog

AUGUST 30, 2023

Introduction I was recently in a conversation about forecasting with a client team, and one individual, whose background was not in supply chain, asked what the value of demand forecasting is. The link between forecast accuracy and corporate goals is less clear. But that doesn’t make forecasting any less important.

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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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Arkieva

DECEMBER 14, 2021

Having a good forecast is essential to demand planning. What’s more is that demand planning is situated at the start of your supply chain, playing an integral part in a streamlined supply chain. Automated Forecasting: Finding the Handshake Between Demand and Supply was first posted on December 14, 2021 at 8:15 am.

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BlueYonder

JULY 6, 2023

Market-based demand forecasting to help you predict localized demand and placement of inventory Retailers are facing increasing pressure to offer affordable, reliable, and frictionless customer experiences. You can also check out Part 1 of this blog.

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Arkieva

JANUARY 3, 2024

From insightful industry analyses to practical how-to guides, our blog demonstrates the diverse range of supply chain-related topics we cover. Top Reads of 2023: Unveiling Our Most Popular Blog Posts was first posted on January 3, 2024 at 7:45 am.

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Logistics Viewpoints

APRIL 4, 2024

There are various use cases of AI/ML for fresh demand planning of products, from producers to large grocery chains and even small delis in suburban Pennsylvania. In this blog, I will discuss the use of AI/ML demand planning for fresh products to help maximize sales and reduce waste.

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Supply Chain Shaman

APRIL 29, 2024

For example, those that actively read my blog, know that I frequently take issue with SAP, but seldom with Oracle. Focus outside-in on market signals and decreasing the latency of demand consumption, and minimization of the bullwhip effect. Don’t make the mistake of assuming that the order is representative of demand.

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New Horizon Supply Chain Blog

JULY 15, 2022

I was recently in a conversation about forecasting with a client team, and one individual, whose background was not in supply chain, asked what the value of demand forecasting is. The link between forecast accuracy and corporate goals is less clear. But that doesn’t make forecasting any less important.

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BlueYonder

JUNE 29, 2023

Market-based demand forecasting to help you predict orders and resources Retailers are facing increasing pressure to offer affordable, reliable and frictionless omni-channel fulfillment experiences. Understanding unconstrained demand involves considering assets such as labor needs and resources (ex.,

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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? Determining the right stock levels to meet demand is vital for customer satisfaction.

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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? Working out the right stock levels to meet demand is vital for customer satisfaction.

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Supply Chain Shaman

APRIL 16, 2024

With the evolution of eCommerce, shifts in regional preferences, complexities of product portfolios, decline in forecastability, and increase in demand and supply variability, supply chain planning is more challenging. In an outside-in model, market data is used to classify demand flows. Improve Sensing to Reduce Demand Latency.

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Arkieva

MARCH 19, 2019

Stop using traditional forecast accuracy metrics to measure forecast for sporadic demand patterns. How to Measure Forecast Errors in Intermittent Demand Forecasting was first posted on March 19, 2019 at 12:19 pm. Use this method instead.

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ToolsGroup

JULY 26, 2016

Most CPG companies have hit a demand forecasting ceiling. The goal of this revenue chase is to grow demand— but this path to growth comes at a cost— the cost of demand complexity. And complexity creates a challenge of how to forecast accurately when faced with new items, new channels and demand shaping.

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EazyStock

MARCH 22, 2022

Fluctuating demand and supply volatility have made accurate demand forecasting even more challenging for two reasons: Using last year’s sales data as a base for forecasts is a ‘no go’, as demand fluctuations due to the pandemic skew the data. Consequences of poor demand forecasting.

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ThroughPut

JUNE 12, 2023

As a result, the forecasting errors in logistics have only multiplied ever since the pandemic and with conventional forecasting models failing to insulate you against underutilization, revenue loss and missed business opportunities, you need to don the Batman’s cape to save the day!

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Herlitz Inventory Management

JANUARY 18, 2023

What is Demand Forecasting? Demand forecasting is a vital activity for wholesale and retail purchasing teams. It helps ensure they will have adequate inventory available to meet future demand and avoid stockouts. Demand forecasting is a process that helps retailers and wholesalers predict future consumer demand.

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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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Supply Chain Shaman

NOVEMBER 15, 2023

The essence of the question is resilience and the ability to forecast in a variable market reliably. This gets us to the question of what is the role of the forecast?` For most, forecasting is a conundrum full of potholes, politics, and bias. For this blog post, never mind the comparison. The trend is clear. The takeaway?

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CHAINalytics

MARCH 9, 2021

But the tools and processes needed to forecast e-commerce demand reliably can increase your accuracy no matter how you do business. See how you can improve efficiencies across all channels and future-proof your business.

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ThroughPut

MARCH 29, 2023

Accurate demand forecasting is the kernel of stable food supply for every supermarket retailer. Why Traditional Demand Forecasting Can Play Spoilsport? However the post-COVID economy is anything but stable or reliable and the demand for ultra-fresh produce has been oscillating like a pendulum.

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ThroughPut

OCTOBER 7, 2022

Step Up Demand Planning Efforts with a Robust Forecasting Model . With the pandemic leaving a deep impact, organizations need to now be better prepared to gain end-to-end visibility across demand and supply chains, especially with their level of preparedness to adapt to sudden changes in demand.

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Arkieva

MARCH 22, 2018

Imagine a demand planner working with 10,000 unique combinations. One of the not so envious tasks for this person would be to generate statistical forecast for all these combinations. Can Demand Segmentation Improve Your Statistical Forecast? was first posted on March 22, 2018 at 12:45 pm.

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Arkieva

JANUARY 23, 2019

However, a new product launch poses a totally new challenge – new product forecasting. How to Forecast Demand for New Products was first posted on January 23, 2019 at 2:24 pm. ©2017 " Supply Chain Link Blog - Arkieva " Use of this feed is for personal non-commercial use only.

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ToolsGroup

DECEMBER 13, 2016

Editor's Note: This is the third in a three part series on advanced demand analytics to improve demand forecasting. Part Two of the series, on Using Weather and Climate Data to Improve Forecasting , can be found here. And now there is another development: leveraging the grapevine (social listening) for demand forecasting.

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Logility

JANUARY 12, 2024

Navigating the $5 trillion North American apparel market requires precision, especially when dealing with the intricate complexities of forecasting and inventory management. The Apparel Industry’s Forecasting Maze Mastering the art of forecasting is critical in the apparel industry.

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ThroughPut

DECEMBER 4, 2022

A shift from physical grocery stores to digital grocery stores is indicative of a shift from traditional shopping practices to demand-driven buying practices. When demand can be anticipated with accuracy, it can be delivered efficiently with demand forecasting techniques. Importance of Demand-driven Replenishment.

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Arkieva

JUNE 20, 2017

For most businesses that rely on demand forecasts for supply and capacity planning, improving demand forecast accuracy is critical. How Does a Demand Forecast of Zero Impact Your Forecast Accuracy? How Does a Demand Forecast of Zero Impact Your Forecast Accuracy?

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Supply Chain Shaman

SEPTEMBER 13, 2023

In a recent blog post, I was challenged by Anna. She wrote, “I have been working in the supply chain for 35 years, and we are still trying to solve the “demand” issue. ” Anna, this blog post is for you. ” Anna, this blog post is for you. I know that your primary focus is procurement.

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