Demand forecasting and reordering requires manually extracting sales data, compiling it into spreadsheets, and calculating reorder points by hand. This repetitive work consumes hours each month and introduces calculation errors that lead to stockouts or excess inventory.
Automation analyzes historical sales patterns, applies seasonal adjustments, and calculates optimal reorder quantities automatically. Purchase orders are generated and logged into accounting software without manual intervention, freeing the team to focus on strategy.
The full workflow, from trigger to completion.
The automation runs on a weekly schedule (e.g., every Monday morning) to pull the latest sales and inventory data.
The automation queries 's API to retrieve sales transactions, units sold by SKU, and promotional flags for the past 4-8 weeks.
The automation ingests historical sales, applies seasonal adjustments, and calculates optimal reorder points, safety stock, and order quantities using demand forecasting logic.
The automation cross-references calculated reorder points with current stock levels from the inventory system to identify SKUs that need replenishment.
If current stock is below the calculated reorder point, the order proceeds. Otherwise, the cycle ends with no action.
The automation creates a structured purchase order with SKU, quantity, supplier details, and delivery address, then logs it as a bill.
The automation sends the purchase order to the supplier's email address with order details and expected delivery window.
A summary message is posted to a designated channel confirming the reorder, quantities, and expected delivery date for warehouse and finance visibility.
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