Demand Forecasting & Automated Purchase Orders

Overview

Ordrly includes a demand forecasting engine designed to support data-driven wholesale inventory planning. Forecasting outputs can generate automated purchase orders or inform manual ordering decisions.

1. Forecasting Methodology

Ordrly uses statistical forecasting models to evaluate historical sales patterns and generate reorder recommendations.

Forecast accuracy can be evaluated and backtested to support planning decisions.

2. Demand-Driven Purchase Orders

• Forecast engine generates reorder recommendations.
• Purchase Orders may be automatically created.
• These POs follow the standard lifecycle workflow.

3. Manual Purchase Orders

Brands may create purchase orders manually for:

• Ad-hoc restocking
• New product launches
• Seasonal or promotional inventory

Manual and automated POs share the same lifecycle states.

4. Purchase Order Lifecycle

• Draft
• Pending Review
• Approved
• Sent
• Converted

Source tracking distinguishes between forecast-driven and manually created POs.

Why This Matters

Ordrly’s forecasting and PO system enables structured, data-informed wholesale inventory management, supporting reduced stockouts and improved reorder timing.