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Demand Planning: Whipped And Chained by Tradition

Supply Chain Shaman

She wrote, “I have been working in the supply chain for 35 years, and we are still trying to solve the “demand” issue. Solving from a supply side seems to work for many companies I work with. Over the last two years, I actively engaged technologists and business leaders to redefine demand planning.

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Optimize Demand Planning with AI: Plan Product Mix & Sales Forecasts Effectively

ThroughPut

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. The unavailability of raw materials and changing consumer patterns heavily impacted demand.

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Real-Time Demand Planning Software – Delivering Sanity and Stability in Everchanging Market Conditions

ThroughPut

Demand planners have to be ready to adapt instantaneously or risk losing their market position – or, worse, market share. Therefore, there is a need for real-time planning that not only offers a clear line of sight into all relevant internal and external influencers of demand, but also helps anticipate and drive it.

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Dealing With The Supply Chain Gloppy Mess

Supply Chain Shaman

For the first in seven years, I was not heads-down preparing for The Supply Chain Insights Global Summit. Companies are drowning in data and short on insights. Pre-pandemic only 30% of supply chain leaders were satisfied with their supply chains, and during the pandemic, business leader satisfaction is falling precipitously.

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Megatrends Reshaping Supply Chain Management

Logistics Viewpoints

ARC is getting ready for our Supply Chain Forum on February 16 th and 17 th. End users – supply chain practitioners working for manufacturers, distributors, or retailers – can attend for free. Supply chain applications have long been a way for companies to compete better. Urbanization.

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Optimize Demand Planning with AI: Plan Product Mix & Sales Forecasts Effectively

ThroughPut

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. The unavailability of raw materials and changing consumer patterns heavily impacted demand.

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Shouldn’t GenAI Mean New Gen?

Supply Chain Shaman

Narrow AI is goal-orientated Artificial Intelligence designed to solve specific issues, such as determining stock levels or planning promotions based on events or weather. We have this today in most supply chain planning solutions. I don’t think that the answer is faster planning or better engines.