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Fresh Demand Planning: How AI Empowers Retailers

Logistics Viewpoints

Given that we are in the age of AI/ML, I often think of how the small deli where I worked was a perfect training ground for applying AI/ML in fresh supply chain planning. There are various use cases of AI/ML for fresh demand planning of products, from producers to large grocery chains and even small delis in suburban Pennsylvania.

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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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Demand Planning Software: Your Comprehensive Guide 

Logility

Good forecasting leads to good demand planning —and good demand planning means better profitability. That’s why it’s essential to be sure you’re equipping your organization with the right demand planning software. Here are our answers to some of the most common questions about demand planning software.

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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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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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Demand Planning. When The Answer To Two Simple Questions Is Not So Simple.

Supply Chain Shaman

(The planning team was defending the status quo without questioning current practices and how to improve them.) The question was, “How can I redefine demand planning processes to use channel data?” Starting to understand the issue with multi-tier demand planning? Demand is a tough subject.

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Reshaping Supply Chain Management through AI-First Demand Planning

Logility

In an era marked by rapid market shifts and evolving business landscapes, precision and speed in demand planning have transcended from being mere advantages to absolute imperatives. This was the central theme of Piet Buyck’s recent webinar, “Implementing an AI-First Demand Planning Solution.”

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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.