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Demand Sensing: How to Unlock Smarter Supply Chains with AI

Logility

Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supply chain management. Further, AI-driven demand sensing allows businesses to combine scattered data which is essential for better forecast accuracy.

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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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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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Probabilistic Demand Forecasting: Revolutionizing Supply Chains

ToolsGroup

At ToolsGroup, we’ve long championed probabilistic demand forecasting (also known as stochastic forecasting) as the cornerstone of effective supply chain management software. In conventional supply chain planning , planners using basic tools (typically spreadsheets or legacy systems) forecast just one number for each item.

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Supply Chain Digital Transformation Guide 2022

Does your supply chain need a refresh? Newsflash: digital supply chains allow for integration and visibility to every aspect of the movement of goods/services. Don't let your supply chain become a thing of the past; download this guide to embrace the future!

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Improving Demand Forecast Accuracy with Machine Learning

ToolsGroup

Improving demand forecast accuracy is crucial for supply chain success. Traditional demand forecasting methods often fall short, resulting in inefficiencies, excess inventory, and lost revenue. Unlike static demand prediction models, AI-driven forecasting adapts over time, leading to improved demand forecast accuracy.

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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 Resilience Checklist

Strengthen your operations with the Supply Chain Resilience Checklist. This practical, easy-to-use tool helps your organization prepare for disruptions and ensure long-term continuity in an unpredictable world.

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GEP Procurement & Supply Chain Tech Trends Report

And for procurement and supply chain leaders looking to harness the power of technology to navigate complex challenges and an uncertain business environment, keeping up with the latest trends can be its own obstacle. So, what’s on the technological horizon for procurement and supply chain for the year ahead?

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The Evolving Retailers Fulfillment Strategy: Meeting Demands with Agility

Speaker: Becky Parisotto and John Vurdelja

Fulfillment is no longer just about getting products from point A to point B – it's about crafting seamless, scalable, customer first experiences. Flexible fulfillment strategies are more important than ever for those aiming to stay ahead and build resilience as retail enters a new era in 2025.

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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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Leveraging Data Analytics to Build a Truly Connected and Collaborative Supply Chain

The C-suite is laser-focused on supply chain performance. This GEP-sponsored report will show you how to leverage data for a collaborative supply chain that delivers results and how to future-proof supply chain management strategies.

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How to Optimize Your Supply Chain in Times of Disruption

Disruptions expose gaps in the supply chain and amplify problems. Research by GEP and North Carolina State University shows how tech can fix the gaps and ensure supply chain resilience and optimization. What can be done? Download now!

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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). Read about 5 use cases. Inventory optimization. Warehouse optimization.

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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.