Demand forecasting and reorder management requires manually pulling sales data from multiple channels, calculating reorder points, and creating purchase orders. This repetitive work consumes weekly and introduces calculation errors that lead to stockouts or excess inventory.
Automation consolidates multi-channel sales data, calculates optimal reorder points based on demand trends and lead times, and generates purchase orders automatically. the team reviews and approves orders in minutes instead of hours, with accuracy.
The full workflow, from trigger to completion.
The automation runs on a fixed schedule (e.g. every Monday morning) or is triggered when stock falls below a threshold.
Pull the past 12 weeks of sales transactions, units per SKU, and channel attribution directly via API.
The automation merges data with any Amazon or third-party channel data, reconciles duplicates, and normalizes SKU identifiers.
The automation applies a time-series forecasting model (e.g. exponential smoothing or moving average) to predict demand, then calculates reorder points using lead time and safety stock rules.
The automation compares current stock levels against calculated reorder points and flags SKUs that need ordering.
For each flagged SKU, the automation calculates optimal order quantity and creates a draft PO with supplier details, quantities, and expected delivery dates.
The automation posts a summary of pending reorders for the operations team to review, approve, and finalize with suppliers.
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