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Demand Sensing: How to Unlock Smarter Supply Chains with AI

Logility

Balancing forecast accuracy with inventory management gets more challenging every day. Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supply chain management. These approaches help companies improve short-term, mid-term, and long-term planning.

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Machine Learning in Demand Planning: How to Boost Forecasting

ToolsGroup

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%.

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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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GenAI Transforms S&OP: Better Alignment and Improved Employee Experience

Logility

This is more evident in supply chain, where time-tested methods are being replaced with new ones. The groundbreaking technology is transforming how companies manage sales and operations planning (S&OP). The groundbreaking technology is transforming how companies manage sales and operations planning (S&OP).

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The Current and Future Use of Gen-AI in Supply Chains

From demand forecasting to inventory optimization, risk mitigation to sustainability — AI is set to transform everything. It’s a must-read for forward-thinking procurement and supply chain leaders looking to harness the power of AI to achieve transformative results. AI isn’t the future. It’s here, now.

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My Favorite AI Use Cases

Supply Chain Shaman

Traditional supply chain planning was defined by the theory of constraints and the Deming Wheel of Plan, Do, Check, and Act (PDCA) philosophies. The focus needs to be on Acting, Sensing, and Responding. Moving counter-clockwise around the model, the focus is on Sense. This is the world of best practices.

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Supply Chain AI: 25 Current Use Cases (and a Handful of Future Ones)

Logistics Viewpoints

It has led supply chain vendors to discuss how they currently use artificial intelligence. Further, virtually every supplier of supply chain solutions is eager to explain the ongoing investments they are making in artificial intelligence. AI is not a new technology in the supply chain realm; it has been used in some cases for decades.

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The Evolving Retailers Fulfillment Strategy: Meeting Demands with Agility

Speaker: Becky Parisotto and John Vurdelja

🔁 Effortless Complex, Project-Based Orders: Coordinate multi-vendor inventory and timelines for consistent customer satisfaction. . 📈 Scaling for Seasonal Peaks: Prepare for fluctuations like spring DIY trends or holiday surges with flexible, scalable systems. Save your spot today!

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5 Powerful Prescriptive Analytics Examples in Supply Chain

Supply chain, with its complex planning questions, is typically an area where optimization technology is required. Supply Chain Network Design. Sales and operations planning (S&OP). Sales and Operations Execution (S&OE). Inventory optimization. Read about 5 use cases. Warehouse optimization.

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Just In: Inventory Optimization Research

How are organizations performing on inventory optimization? Inventory: asset or liability? It’s a debate as old as supply chains themselves. This new guide exposes many of these vulnerabilities and sheds light on how supply chain teams are adapting to the "new normal." How can new technologies help your team improve?

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Digital Transformation: Why You Can’t Afford to Wait

Brittle supply chains, fragmented systems landscapes, unreliable and inaccurate data, as well as poorly managed IT and business networks are consistently reported as top concerns, which is why executives are increasingly prioritizing digital transformation.

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Complimentary Gartner Report: Improve S&OP Decision Making with Scenario Planning

Download this complimentary report to learn about: Gartner’s research findings on the role of scenario planning in S&OP. The paradigm shift happening in S&OP and pain points experienced by SCP leaders. How to articulate scenarios for portfolio planning, network, inventory, and more.

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Automated Order Processing and Proactive Inventory Management

Speaker: Irina Rosca, Director of Supply Chain Operations, Helix

Organizations need to focus on demand driven supply planning, utilizing real time information on customer orders from all marketplaces (e-commence, Amazon - or other online retailers, and point of sale data from brick and mortar). etc) or online promotions (company run or 3rd party). April 3rd, 2019 11.00 AM PST, 2.00

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Striking a Balance in the Supply Chain: Navigating Volatile Supply and Demand to Meet Customer Needs

Speaker: Tony Darnell, Shipping Manager at Lippert Components

In a new era of supply constraints and volatile demand, businesses face challenges managing supply and changing customer demands. To make smart allocations, they need to visualize inventory across multiple warehouses and cater to different customer needs.

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How to Tackle Today's Most Complex Inventory Challenges

Speaker: Andrew Kurpiel - AmerCareRoyal | Bill Benton - GAINS | Paul Benhamou - Benco Dental

The turbulence in today’s supply chain requires you to react faster and make continuous adjustments. By targeting inventory investments and regulating service expectations, their inventory optimization activities have improved performance. To accomplish this, you must evaluate and act on real-time data.