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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. Should companies care? I think so.

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The Evolving Role of Demand Planners: Demand Planning Solutions

Logility

How AI powered demand planning solutions revolutionize the role of demand planners In today’s fast-paced and competitive business landscape, organizations are constantly seeking ways to optimize their operations and improve their supply chain.

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Sales Managers’ Role in Demand Planning

QAD

” This also applies to the Supply Chain and the demand planning process. Achieving an effective demand planning process involves getting different parts of the organization together. This is because demand planning is a bridging function between commerce and supply chain.

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Fashion Industry Challenges Require Elegant Demand Planning

ToolsGroup

This article will explore the different retail channels and reveal tips for finally mastering demand forecasting for the fashion industry. Demand planning for direct and indirect channels. The COVID pandemic certainly introduced demand shifts and supplier challenges which have been clearly demonstrated in the fashion industry.

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The 4 Keys to Demand Planning in 2023 and Beyond

Speaker: Eva Dawkins - Senior Consultant, Supply Chain

However, to pull this off, companies must first establish crucial supporting people processes - in particular, planning processes. Join us for this exclusive webinar with Eva Dawkins as she dives into research behind demand planning and forecasting for supply chain success.

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The New Way Forward with AI in Demand Planning

Logility

Statistics, ML & AI in Demand Planning Software: Are All Created Equal? The solution lies within the union of experienced, adaptable demand planners to user-friendly AI/ML systems to approach demand planning.

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Implementing a Demand Planning Transformation: Pitfalls and Complications

CHAINalytics

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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Next-Gen AI-Based Demand Planning: Turn Your Insights Into Accuracy in 1 Day

Artificial intelligence designed for demand planning brings the following benefits: Immediate forecast error reduction of 15-40%: this drives optimal service & stock levels. The planner gets insight into the drivers of demand: what is the impact of seasonality, price changes, or promotions?

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Overcoming the Accuracy vs Agility Trade-Off in Demand Planning & Forecasting

Agility and accuracy don’t necessarily need to be at logger heads. In-fact, anticipatory agility enabled by AI and Machine Learning can move the accuracy frontier forward in terms of validity and consistency driving significant business value.

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Geopolitical & Regulatory Issues: The Path Forward in Supply Chain & Logistics

Speaker: Lisa Anderson, MBA, CSCP, CLTD - President of LMA Consulting Group, S&OP Expert, and Speaker

Join demand planning and SIOP expert Lisa Anderson for a riveting discussion evaluating the geopolitical landscape and looking at the bigger picture to create a path forward. Several issues are converging simultaneously, creating a precarious path forward.

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What Supply Chain Leaders Keep Getting Wrong

Speaker: David Blonski, Chief Operations Officer of Elementum

By investing in the same ideas and initiatives they always have: a new ERP, better demand planning, doubling down on six sigma. In an environment that’s never been more challenging, supply chain leaders are as determined as ever to decrease costs and improve performance.