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Рекомендуем сделать следующее:
Dynamically segment demand to simplify planning.
Assimilate internal, customer, and marketing signals to create a holistic view of demand.
Use business rules to assign groups of items and locations to segments that share common demand characteristics.
Monitor business KPIs to detect changes in market conditions and assess the impact.
Drive accountability by documenting plan discussions, decisions, and assumptions.
Improve forecast accuracy by evaluating baseline, trend, seasonality, and causal forecast components by segment.
Improve plan accuracy with built-in machine learning that evaluates intermittency, collinearity, anomalies, level shifts, price changes, holidays, and events.
Enhance your baseline plan by adjusting your forecast to incorporate business knowledge and address exceptions.
Improve customer service by simulating the impact of changes to model forecasts and calculate attach rates.
Monitor and diagnose the root causes of forecast errors and track improvements by demand segment.
Manage new product launches by learning from similar products. Add new channels, customers, and geographies.
Make more informed decisions by simulating and comparing multiple forecast scenarios.
Increase responsiveness and improve availability by collaborating with cross-functional teams on planning demand and supply.
Establish inventory policy thresholds for groups of item locations that have similar replenishment requirements.
Generate the time-phased replenishment quantities needed to keep supply within inventory thresholds.
Select and compare the effect of different inventory policy parameters to enhance performance.
Release replenishment orders for execution based on the latest demand, supply, and policy settings.
Improve your forecast accuracy by learning from similar products, reconciling marketing forecasts, and incorporating executive feedback.
Proactively respond to changing customer requirements and market conditions by simulating different impacts on demand plans.
Collaborate simultaneously on demand and supply plans with cross-functional teams.
Hitachi Vantara was looking for a truly industrial-grade solution that could deliver rich statistical modeling to fuel long-term sustainable success.Read the full article
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