Welcome to the PLAIO Demand Planning module. This powerful tool gives you an all-encompassing overview of your inbound demand. Thanks to its flexibility, you can easily integrate data from your existing ERP system, Excel sheets, or almost any other data source. With customizable filters, advanced forecasting and intuitive visualizations, the demand planning process has never been easier.
User-specific dashboards
Depending on your role within the organization, your dashboard view may vary. This feature ensures you have access to the most relevant data for your role, helping you make informed decisions without being overwhelmed by unnecessary information.
Demand Plan Worksheet Overview
When you access the demand plan worksheet, you'll find three main areas:
Data: The heart of the worksheet. Here, you'll see different lines for each SKU, including orders, market forecasts and statistical forecasts.
Filters: Located to the left, this section allows you to customize your view based on various parameters such as product, strength, market and more.
Details: At the bottom, you'll find more specific information about the selected data point, such as tasks assigned to the line, BOM, Inventory, detail chart etc.
In this report, the focus is on assessing the alignment between our forecasts and the actual sales figures spanning the preceding 12 months. For each individual product (SKU), the summation of the actual sales values for the past year is conducted, and a comparative analysis is performed against our predicted values. This methodology yields a comprehensive accuracy metric for the entire annual period. The system's visual representation of data provides a rare complete overview of total inbound demand from any forecast.
Data integration
The structure of the Demand Planning module is flexible and allows for seamless data flow from any existing ERP system or Excel sheet that might be in use.
Statistical analysis and Advanced forecasting
PLAIO's Demand Planning module goes beyond basic forecasting. By leveraging statistical analysis and machine learning algorithms, the system identifies patterns in your historical data, adjusts for seasonality and trends and creates an advanced forecast that is a reliable basis for your demand planning.