Each SKU can have multiple associated demand lines representing different forecast types: market forecasts, actual orders, tenders, budget, and machine learning forecasts. This allows comparison of different demand indicators for a single SKU to enhance planning accuracy. Demand lines are versioned, allowing planners to track changes over time without overwriting prior values. You can also create a customized, new plan type.

PLAIO generates forecasts using advanced ML models trained on historical sales data that automatically capture patterns such as trends, seasonality, and demand shifts. In parallel, it produces a benchmark forecast using a rolling average as a reference point for comparison.

The system supports flexible levels of forecast granularity, allowing plans to be created and maintained at different dimensions such as product, market, or customer group. These plans can then be aggregated or broken down depending on the configuration.

PLAIO evaluates forecast quality using two complementary metrics:

The metrics are visualized on each demand line, allowing planners to quickly assess reliability and make adjustments.

PLAIO measures forecast accuracy by comparing forecasted market quantities to actual sales over a 12-month period using the formula: abs(1 - (Total Absolute Error / Total Sale Quantity)) × 100.

Users can trigger on-demand updates at any time, allowing both forecast types to be recalculated on the latest available data. This ensures planners work with current information while retaining control over when new calculations are performed.

Standard exception alerts include:

Demand Planning supports viewing the demand plan in both quantity (volume) and value. Value is calculated as a derived view based on planned quantities multiplied by the applicable unit price.

Sales history serves as the basis for statistical forecast calculations, while inventory history is used for informational purposes showing how it has evolved over time.

The system is designed to accommodate both MTS and MTO strategies effectively, which can be defined down to each SKU level.

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If you click on the ... on any column, you can choose your columns. Below is a breakdown of each column and what it represents.

Custom columns can be added if needed.