Logility

MARCH 12, 2021

Descriptive, predictive and prescriptive analytics should be combined to optimize your demand planning processes. The company’s goal was to build a data-driven organization making fact-based decisions in near real time. The company’s goal was to build a data-driven organization making fact-based decisions in near real time.

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CHAINalytics

MARCH 28, 2023

Implementing a Demand Planning Transformation is rife with pitfalls. Any organisation engaging in a transformation needs to carefully plan and execute to reap the benefits of their efforts. See how, in a previous blog post on demand planning, we outlined the five steps of the demand planning process.

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ThroughPut

MARCH 25, 2024

In supply chain management, accurately distinguishing between demand planning and demand forecasting is essential yet challenging. The consequences of conflating demand planning with demand forecasting are significant, impacting inventory management, customer satisfaction, and financial health.

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The Logistics of Logistics

NOVEMBER 22, 2021

Demand Planning in VUCA Times with Ali Raza. Ali Raza and Joe Lynch discuss demand planning in VUCA times. Key Takeaways: Demand Planning in VUCA Times. This episode is actually a webinar hosted by Joe Lynch, featuring Ali Raza discussing demand planning in VUCA times. Integrating market data.

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Logistics Viewpoints

JULY 6, 2021

Or, why you need demand planning for going viral on social media. Thanks to demand planning innovations, supply chain planners are detecting potential demand spikes before they become global phenomena – even when that data comes from outside sources, like TikTok or Google Trends.

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QAD

OCTOBER 25, 2023

When conducting demand planning , you need to strike the balance between having sufficient stock levels to meet customer demands without having surplus. This means leveraging the right tools and data to build your demand plan from the outset. What are the key features of demand planning?

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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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ThroughPut

MARCH 24, 2024

Earlier in the day, demand planning was a guessing game that relied more on intuition, instinct, and inclination. But with the advent of the information economy and Artificial Intelligence (AI), this process became data-driven. Why do you Need Modern Demand Sensing to Solve Modern Problems?

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Supply and Demand Optimal Sourcing Forecasting Modeling 52

BlueYonder

NOVEMBER 27, 2023

Not only is manual scenario planning a tedious and time-consuming job, but it also often results in suboptimal decisions because too many granular scenarios or too few wide scenarios were created — missing critical levers and decision points. However, identifying the right influencing factors in demand planning is easier said than done.

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ToolsGroup

APRIL 25, 2019

Anyone who has done demand planning knows it is extremely complex, with forecasting challenges and rapidly shifting consumer demand, often exacerbated by seasonality, new product introductions, promotions, and myriad causal factors (e.g. Don’t Forget the Four Dimensions of Data: Volume, Granularity, Quality, Variety.

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Adexa

JUNE 1, 2021

Traditional demand planning techniques rely on past data in order to forecast the future. They can also use event data that occurred at a certain point in the past in order to project the impact of that event happening again in the future. Factors that contribute to such discontinuity are attributes of data.

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ToolsGroup

FEBRUARY 28, 2023

Explore the capabilities below to see how, with the release of v8.60, ToolsGroup has further improved its ability to drive decision making at the speed of business and deliver supply chain agility and resilience with expanded dynamic demand planning capabilities across the board.

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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. In this case, demand forecasting came in first, followed by demand sensing and shaping second.

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BlueYonder

DECEMBER 4, 2023

A recent survey of demand planners’ concerns and day-to-day experiences sheds light on the challenges faced by planning teams today and highlights the pressing need for innovative solutions to solve for them. By consolidating data sources and providing a user-friendly interface, it enhances overall efficiency and accuracy.

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Supply and Demand Modeling Supply Chain Planning Software Scenario Planning 84

CHAINalytics

DECEMBER 15, 2020

A demand planning application should generate value that goes beyond statistical forecasts. Sometimes this is easier said than done since it requires thoughtful system configuration and shared data insights.

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DynaSys

AUGUST 10, 2021

When deciding to implement a demand planning cycle , one of the crucial elements of getting your demand plan right is the data you use to create it. How to gather the RIGHT data for demand planning? If you can’t trust the data, the demand plan is a useless endeavor.

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ToolsGroup

APRIL 2, 2019

But now they have started outsourcing supply chain business processes like demand planning, allowing them to focus on other business processes while gaining access to world class capabilities. Case example: supply chain planning as a service. Within less than 12 months, the company saw rapid improvement.

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Logility

JANUARY 14, 2020

There is a lot of pressure on planners to improve this important metric and while no plan will ever be 100 percent accurate (that would be an order after all), it is important to get as close as we can to help synchronize the supply chain and satisfy both our financial and service level objectives. Practical Tips to Improve Demand Planning.

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DynaSys

AUGUST 31, 2021

Data is an integral part of the demand planning cycle. But, the trickiness of collecting data comes mainly from pulling it from all the sources of data for demand planning as well as unifying the data. Different sources of data for demand planning: Enterprise Resource Planning (ERP).

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Arkieva

APRIL 5, 2022

Businesses spend a lot of time and money in improving their demand planning. Building the ROI Case for Demand Planning was first posted on April 5, 2022 at 7:43 am. However, the ROI is not always forthcoming. How much is a 1% improvement in forecast accuracy worth to the business?

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SupplyPike

FEBRUARY 5, 2020

What is a demand plan? Demand planning tells you how much inventory you can expect to sell, down to the regional level. Armed with point-of-sales data, knowledge of inventory issues, and accounting for anomalies, you can plan on how much product to manufacture, store in your warehouses, and ship to each region.

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Unleashed

FEBRUARY 1, 2023

The onset of COVID and the rapidly changing environment of a pandemic-hit world has meant demand planning has become more difficult – and as a result, more critical – than ever. What is demand planning? Demand planning is the process of predicting what customer demand will be for a certain product.

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DynaSys

AUGUST 5, 2021

When formulating a Demand plan , you need to strike the balance between having sufficient stock levels to meet customer demands without having surplus. This means leveraging the right tools and data to build your demand plan from the outset. What are the key features of Demand planning?

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Supply Chain Shaman

JULY 30, 2022

However, two decades later, there is still no technology solution to enable demand visibility or help companies use channel data to translate demand into an inventory, replenishment, or manufacturing strategy. Why have we not improved our use of channel data in supply chain processes?” My question is, “Why?”

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ThroughPut

DECEMBER 5, 2023

Supply chain operators need to take a step back and closely examine their demand forecasting process to optimize supply chain operations, reduce costs, and improve customer satisfaction. Demand forecasting is the process of predicting future demand for a product or service, which helps businesses plan and allocate resources effectively.

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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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Adexa

JULY 13, 2020

In the early stages of Corona virus, things were changing by the day if not by the hour regarding both short and long term demand sensing for PPE. Monthly demand planning is obviously inadequate. By the time you know what you need and tell your suppliers, demand has already changed and you are left with shortages.

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Logility

MARCH 25, 2020

The goal of demand sensing. A methodology and technology for improving near-future forecasts, demand sensing uses detailed short-term demand data. In plain English, the premise is this: if the past is the best predictor of the future, it follows that the very recent past is the best predictor of the very near future.

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ThroughPut

APRIL 20, 2023

Supply chain planning that is purely based on forecasts is no longer relevant in today’s fast-paced market. Just as we step out of the post-covid impact, the need of the hour is holistic demand planning which can drive results in today’s dynamic and ever-changing business environment. The answer lies in demand sensing.

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DynaSys

AUGUST 17, 2021

We’ve discussed the benefits of gathering data and coming up with a strategy of collaboration when implementing a demand planning cycle. Now it’s time to walk through the importance of Performance evaluation in the Demand Planning Cycle by setting metrics and KPIs. Want to know more about Demand Planning?

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ThroughPut

MAY 27, 2022

With the right demand forecasting software , even in these volatile times, it is possible to steer clear of excess inventory, stockouts, and pointless resource utilization. It is actually possible to take strategic and tactical decisions at the same speed at which business operations run, instead of relying on historical, siloed data.

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DynaSys

JANUARY 12, 2022

10 Supply Chain use cases for your Demand plan. Everything else in your business is a response to this demand – your production facilities, warehousing, distribution, staffing and investment levels. Often the demand plan is just seen as an input into supply planning rather than the reason that planning exists.

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o9 Solutions

FEBRUARY 21, 2023

Inefficient planning systems, with siloed data, and disconnected processes produce inaccurate forecasts. Which parts of your demand planning processes are most broken or need the most improvement? Understanding your planning maturity is the best pathway to resolving these system, data, process and resource challenges.

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DynaSys

JULY 29, 2021

When deciding to strengthen your supply chain infrastructure, the question of roles and responsibilities of demand planning arises. Should demand planning be placed under supply chain management, sales, or finance? Demand planning is a bridging function between commerce and supply chain. Demand planners.

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Vanguard Software

JUNE 15, 2021

Organizations cannot underestimate the COVID-19 pandemic impacts and disruptions on-demand planning. Over the past 15 months, disruptive events have exposed the challenges growing over the past decade – SKU proliferation, new distribution channels, shorter product lifecycles, and more demanding customers. Collaboration.

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ThroughPut

APRIL 20, 2023

Chief Supply Chain Officers (CSCOs) today have to deal with a new set of challenges including supplier unpredictability, ambiguous and missing historical data, inventory disruptions, supply and demand imbalances, to name a few. How can demand planning match the pace of market dynamics?

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