Category: Demand Planning

Holt-Winters is an exponential smoothing method that adds trend and seasonality to forecasts. Learn how it works, additive vs. multiplicative, and when to use it.

Learn why trend breaks create forecasting bias and how to detect one-sided errors early with a Tracking Signal that acts as an early warning system.

Measure your forecast latency with a simple 4-step backtest. Quantify trend-detection delays and calculate their impact on your supply chain margins.

Learn what an Annual Operating Plan (AOP) is in finance, why it matters, and how to build one step by step. Definition, benefits, process, and best practices.

Demand sensing isn't just about forecast accuracy; it's about catching demand shifts 6-8 weeks earlier. See the math and the noise trap to avoid.

Single-number forecasts and fixed lead times plan for stability, not reality. See what changes when supply chain planning carries ranges instead.

Planning to attend the Gartner Supply Chain Planning Symposium? See how Arkieva approaches real-world planning and book time to connect onsite.

Planning to attend the Gartner Supply Chain Planning Symposium? See how Arkieva approaches real-world planning and book time to connect onsite.

A roundup of Arkieva’s top supply chain planning blogs of 2025, covering Gartner insights, demand and inventory best practices, scheduling and applied AI.

Aligning your financial and operational forecasts is key to realistic budgets and production plans. Review best practices of effective financial supply chain management.

Learn how tariffs impact supply chain risk management and what proactive strategies leading companies are using to stay agile, resilient and competitive.

Can your supply chain planning withstand the uncertainty of tariffs? Organizations that leverage what-if scenario planning will be a step ahead.