Tag: Demand Planning

Analytics | Cloud
Lindsay Marshall 0
4 ways software as a service is driving intelligent business decisions

Cloud technologies enable greater access to analytics. The shift to providing less complicated usability empowers decision-makers and offers a competitive advantage previously unattainable. Companies of all sizes and sectors embrace cloud technologies to address data and information challenges. IT departments are short-staffed and expected to support a large and varied

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Retail
Advanced Analytics | Analytics | Cloud | Machine Learning
Charlie Chase 0
6 advantages of using software as a service for grocery supply chain planning

You're not alone if you’re still seeing local grocery stores with empty shelves.  Food shortages are still lingering in 2023. Increases in consumer demand, labor shortages and shipping capacity restraints continue to interrupt supply chains, particularly for grocery retailers. These problems have persisted throughout the pandemic, as seen with the shortages

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English
Retail
Advanced Analytics | Analytics | Cloud
Charlie Chase 0
6 advantages of using software as a service for demand planning

Getting demand right – or getting it wrong – can have a significant impact on customer perceptions of your brand, particularly in this age of instant gratification. The need for agile, accurate demand planning has never been greater. Predicting forward-looking demand signals and shifting consumer demand patterns to recommend balanced, profitable commercial

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English
Manufacturing | Retail
Advanced Analytics | Artificial Intelligence | Data Visualization | Machine Learning
Jessica Curtis 0
How to cultivate trust in analytical models and improve forecast adoption

Often the biggest challenge when implementing a successful forecasting process has nothing to do with the analytics. Forecast adoption – incorporating forecasts into decision-making – is just as high a hurdle to overcome as the models themselves. Forecasting is more than analytical models Developing a forecasting process typically begins with

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AgTech | Life Sciences | Manufacturing | Retail
Analytics | Customer Intelligence | Data Visualization | Marketing
Charlie Chase 0
How CDP technologies offer sales and marketing teams powerful insights

In today's environment, data is exceedingly important but also increasingly harder to get and manage. A reliable customer data platform (CDP) can provide significant value to retail and consumer packaged goods (CPG) companies. Customer data platforms are used to consolidate and integrate customer and consumer data into a single data source. CDP

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AgTech | Manufacturing | Retail
Advanced Analytics | Analytics | Data Management | Data Visualization
Charlie Chase 0
Misnomers regarding outliers and their usefulness in statistical modeling

Outliers provide much-needed insights into the actual relationships that influence the demand for products in the marketplace. They are particularly useful when modeling consumer behavior where abnormalities are common occurrences or unforeseen disruptions that impact consumer demand. But why do demand planners cleanse out outliers, when many are not really

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Manufacturing | Retail
Advanced Analytics | Analytics | Cloud | Machine Learning
Charlie Chase 0
Can demand planning save your supply chain? Find out with this free trial

The past 20 months of disruptions caused by COVID-19 have been a wake-up call for retailers and consumer goods companies. Unpredictable market trends have caused havoc with categories, brands and products making it harder to predict supply requirements. All of these changes have given rise to the need for consumption

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Manufacturing | Retail
Advanced Analytics | Analytics | Cloud | Machine Learning
Charlie Chase 0
What does it take to become an analytics-driven demand planning organization?

The social and economic impact of COVID-19 has dramatically affected supply chains and demand planning across all industries. Then there’s the Amazon effect, which has led to sky-high consumer expectations of the ordering and delivery process. Demand planners for retailers and consumer goods companies have quickly realized they have no

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AgTech | Manufacturing | Retail
Advanced Analytics | Analytics | Cloud | Machine Learning
Charlie Chase 0
Has your company considered a managed application service for demand planning?

The need for agile, accurate demand planning has never been greater. When considering migrating your demand management application to a cloud-native solution, you might experience platform management challenges ranging from lacking the resources needed to oversee application operations, to manipulating maintenance tasks that may distract from growing the business. Why

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Manufacturing | Retail
Advanced Analytics | Analytics | Artificial Intelligence | Cloud | Internet of Things | Machine Learning
Charlie Chase 0
Is your demand management process stuck in the 1990s?

Demand management concepts are now over 30 years old. The first use of the term "demand management" surfaced in the commercial sector in the late 1980s and early 1990s. Before that, the focus was on a more siloed approach to demand forecasting and planning that was manual and used simple

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AgTech | Manufacturing | Retail
Advanced Analytics | Analytics | Artificial Intelligence | Data Management | Data Visualization
Charlie Chase 0
SAS and C.H. Robinson are rewriting the rules of transportation planning and management

What if you had a technology solution that creates a real-time link between the customer demand signal and what's happening on the ground? What if plans that are being steered centrally could  finally be connected to every shipping lane, while simultaneously, creating cost saving carrier adjustments? The first-of-its kind integration

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Manufacturing | Retail
Advanced Analytics | Analytics | Artificial Intelligence | Machine Learning
Charlie Chase 0
Is short-term demand sensing a key component of your digital supply chain transformation?

Depending on who you talk to, you'll get varying definitions and opinions regarding demand sensing. Anything from sensing short-range replenishment based on sales orders, to the manual blending of point-of-sales (POS) data and shipments. But a key component for retailers and CPG companies is accurately forecasting short-term consumer demand to

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AgTech | Manufacturing | Retail
Advanced Analytics | Analytics | Artificial Intelligence | Customer Intelligence | Machine Learning
Antonio Calvo 0
Has social distancing affected retail personalisation?

Few of us expected to experience problems with retailers during the lockdown. Most people have, after all, been happily buying online for years. Why would anything change just because some physical shops closed for a while, or some people could not go out? However, the challenges went a bit deeper

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English
Retail
Advanced Analytics | Analytics | Data Management | Machine Learning
Charlie Chase 0
At the end of the day, it’s all about analytics-driven forecasting

Analytics-driven forecasting means more than measuring trend and seasonality. It includes all categories of methods (e.g. exponential smoothing, dynamic regression, ARIMA, ARIMA(X), unobserved component models, and more), including artificial intelligence, but not necessarily deep learning algorithms. That said, deep learning algorithms like neural networks can also be used for demand forecasting,

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English
Manufacturing | Retail
Advanced Analytics | Data Management | Internet of Things
Charlie Chase 0
Omnichannel is changing the way we view demand planning

Omnichannel Analytics are helping companies uncover patterns in big data to improve the customer experience.  Using those insights, companies can anticipate what consumers are planning to purchase and influence that purchase in real time.     Companies are experiencing unprecedented complexity as they look for growth and market opportunities. Their product portfolios are

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English
Manufacturing | Retail
Internet of Things
Charlie Chase 0
The Digital Revolution: Crossing the digital divide is changing the Supply Chain Landscape

The digital revolution has affected all aspects of business, including supply chains.  The Internet of Things (IoT), with its network of devices embedded with sensors is now connecting the consumer to the factory. Technologies such as RFID, GPS, event stream processing (ESP) and analytics are combining to help companies to transform their existing

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English
Bob Davis 0
What does a successful supply chain look like?

I had the opportunity to interview an award-winning, fast-moving, consumer packaged goods (CPG) company in the early 2000’s. They were recognized as one of the best supply chain companies in the United States by all of the major retailers and their CPG peers. Indeed, it seemed every time a new

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English
Charlie Chase 0
You can no longer hide behind MAPE!

There are four key areas that require continuous investment in order to become demand-driven: people, process, analytics, and technology. However the intent of your demand forecasting process along with business interdependencies need to be horizontally aligned in order to  gain sustainable adoption.  Adoption alone doesn't necessarily mean it will be sustainable.       As

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