Demand Planning

Leveraging advanced tech to develop next-level planning

Friday, May 15, 2026 · Morgan Swink, Christy Christian and Phil Howell
Advanced planning technologies combined with stronger data, processes, and AI capabilities are transforming supply chain planning, enabling faster decision-making, greater resilience, and measurable financial gains for organizations that invest in next-generation planning…

Beyond the forecast: Rethinking demand-driven planning

Wednesday, May 6, 2026 · Mike Burnette
Benchmark supply chains are shifting from internally driven planning to a Right-to-Left model synchronized with actual consumption. The result: lower inventory, stronger service, and measurable gains in total value.

The cultural roots of forecasting failures

Wednesday, April 29, 2026 · Mike Burnette
Forecasting failures in supply chains persist not due to flawed analytics, but because of deeply embedded organizational culture, misaligned incentives, and fragmented planning processes that distort true demand signals.

The future of forecast value add: An expert’s AI agent framework transforming e-commerce forecasting

Monday, March 23, 2026 · Bijoy Sasidharan
AI-driven forecasting only delivers real business value when organizations rigorously measure forecast value add (FVA) to ensure every model, agent, and human intervention improves operational decision-making.

What It Really Means: Balancing demand and supply

Thursday, March 12, 2026 · Andrew Byer and Mike Dobslaw
Balancing demand and supply in supply chain planning means aligning demand forecasts with production, inventory, and distribution capabilities so companies can meet customer needs efficiently without costly operational disruptions.

What It Really Means: Bringing the outside in

Thursday, February 26, 2026 · Andrew Byer and Mike Dobslaw
“Bringing the outside in” means shifting supply chain planning and execution from internally driven metrics to real-time, market-based data such as POS, competitive activity, and external events to improve service, stability, and financial performance.

Why retail planning is moving beyond seasonal forecasts

Monday, January 26, 2026 · Brian Straight
Retailers are moving beyond seasonal planning toward integrated, AI-driven decision frameworks that connect real-time demand signals, financial guardrails, and execution at the store level.

From S&OP to explainable AI: A Q&A with a supply chain planning expert

Tuesday, January 6, 2026 · SCMR Staff
AI-driven, explainable planning is emerging as a critical capability for U.S. supply chain leaders seeking to reduce decision latency, manage tariffs, and replace outdated S&OP models with collaborative intelligence.

The special demand optimization team

Friday, December 26, 2025 · Larry Lapide
Prior S&OP planning assumed supply was plentiful, and that forecasting could be done using historical demand. Thus, I realized that at least two special planning teams would have to be assembled to support forecasting and planning under uncertainty, and during severe…

How AI helped a retailer prevent stockouts

Tuesday, November 4, 2025 · Saravanan Venkatachalam and Arunachalam Narayanan
A national retailer fused optimization modeling with large language models to turn complex supply-chain math into clear, role-specific narratives that planners and executives could understand—and trust.

Rebuilding S&OP: The human discipline behind the data

Tuesday, October 28, 2025 · Brian Straight
At CSCMP EDGE, leaders from Coca-Cola, Light & Wonder, and Demand Chain AI reminded attendees that the hardest part of sales and operations planning isn’t technology—it’s people, process, and persistence.

AI is reshaping the supply chain and IBP

Thursday, July 24, 2025 · Mikael Hatzis, founder of Integratos
AI is transforming supply chain planning and Integrated Business Planning (IBP) by enabling predictive insights, dynamic simulations, and real-time decision-making that challenge the very role of traditional ERP systems.

Supply constraints? Demand-shaping revisited

Monday, December 2, 2024 · Larry Lapide
Supply chain managers working with sales and marketing can ensure products in demand match with available supply to maximize profits.

How to improve demand forecasts for new product families

Wednesday, November 6, 2024 · University of Tennessee Global Supply Chain Institute
When managers foster collaboration among forecasting, production, and marketing teams, they can align on demand expectations and share insights across various functions, improving demand forecasts.

The special demand optimization team

Tuesday, September 3, 2024 · Larry Lapide
Prior S&OP planning assumed supply was plentiful, and that forecasting could be done using historical demand. Thus, I realized that at least two special planning teams would have to be assembled to support forecasting and planning under uncertainty, and during severe…
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