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Demand Planning: Whipped And Chained by Tradition

Supply Chain Shaman

Over the last two years, I actively engaged technologists and business leaders to redefine demand planning. In the industry, supply-centric techniques reign with lots of bravado and messaging on control towers, Demand-driven Materials Requirements Planning (DDMRP), and generative AI. Go to the source. I think so.

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Editor’s Choice: The TikTok Effect on Demand Planning

Logistics Viewpoints

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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Managing Supply Chain Planning in the World of Scarcity

Supply Chain Shaman

The waste included: Negative Forecast Value Added (FVA) in demand planning. In 85% of organizations that I work with, conventional demand planning processes increase forecast error. This is amplified across the supply chain into an exponential impact on inventory and planned orders for manufacturing. Most likely.

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Demand Sensing: How to Unlock Smarter Supply Chains with AI

Logility

A New Era of Demand Planning White Paper Learn more about these new demand models in this whitepaper. Download Now AI Solutions for Complex Demand Planning For supply chain professionals, managing demand involves analyzing multiple signals from diverse sources. Sign up for upcoming sessions here.

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How Technology Makes Continuous Innovation Possible: A Case Study with Unilever

Logistics Viewpoints

The result is an end-to-end planning process operating on the highest quality data possible. Centralized Demand Planning became the cornerstone that streamlined operations, leading to not just efficiency but an alignment across functions across the entire organization.

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The Secret to Success with Machine Learning in Supply Chain Management

ToolsGroup

The Secret to Smarter Demand Forecasting AI and machine learning have made significant strides since we first pioneered their use in supply chain planning more than a decade ago, but true success comes from more than just machine learning alone. Combining machine learning with probabilistic demand planning. The secret?

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HWI Unleashes Continuous Innovation

Logistics Viewpoints

They view their implementation of a tightly integrated suite of applications delivered in a public cloud infrastructure from Oracle as a platform on which they can build to help drive continuous innovation. HWI uses an innovative way to produce and deliver monolithic products in 55-pound bags. HWI employed a crawl-walk-run methodology.