Demand Planning Related Topics 
ToolsGroup
MARCH 25, 2025
Machine learning (ML)a specialized field within artificial intelligence (AI)is revolutionizing demand planning and supply chain management. According to McKinsey , organizations implementing AI-driven demand forecasting solutions can reduce forecast errors by 30% to 50%.
Supply Chain Shaman
SEPTEMBER 13, 2023
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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Logistics Viewpoints
APRIL 4, 2024
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.
Logistics Viewpoints
AUGUST 4, 2022
If “the forecast is always wrong,” is improving forecast accuracy even the solution to our demand planning woes? Gaining a better handle on demand is compelling, especially when recent sales history is often no longer a good predictor. The post Can Improving Forecast Accuracy Address Our Demand Planning Woes?
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.
ToolsGroup
MARCH 3, 2021
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.
Logistics Viewpoints
JULY 6, 2021
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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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?
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.
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.
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.
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