Demand forecasting and reordering is the process of analyzing past sales data, predicting future demand, and placing orders with suppliers to maintain optimal inventory levels.
Automation analyzes historical sales patterns, applies seasonal adjustments automatically, and calculates optimal reorder quantities based on lead times and supplier constraints. The result is faster, more accurate orders and fewer stockout incidents.
The full workflow, from trigger to completion.
Every Monday at 6 AM, the automation fetches the previous week's sales data and current inventory levels.
The automation analyzes 8 weeks of historical sales, applies seasonal adjustment factors, and generates a demand forecast for each SKU for the next 2 weeks.
The automation calculates optimal reorder quantities based on forecasted demand, current stock, lead times, and supplier minimums, then flags any SKUs at critical levels.
The system checks if all calculations are complete and no data is missing. If yes, proceed to approval. If no, log an alert and wait for manual intervention.
The reorder list is posted with a summary of quantities, expected costs, and any critical stock alerts. The manager has 2 hours to approve or adjust.
Once approved, the automation generates and sends reorder emails to suppliers with quantities, delivery dates, and any special instructions based on supplier preferences.
The automation creates purchase orders with the reorder quantities, supplier details, and expected delivery dates for accounting and inventory tracking.
A summary message is sent confirming all reorders have been placed, total cost, and expected delivery dates for team visibility.
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