Demand forecasting and reordering at grocery retailers requires manually extracting sales data, checking inventory levels, calculating moving averages, and identifying which items need restocking.
Automation extracts sales data weekly, calculates demand forecasts using statistical methods, compares inventory to reorder points, and generates purchase orders automatically.
The full workflow, from trigger to completion.
Automation is triggered every Monday at 6 AM. The system checks that the previous week's data is complete before proceeding.
The automation pulls weekly sales data from the POS system and current inventory levels from the inventory management system, consolidating both into a single data feed.
The automation applies statistical forecasting (moving averages, trend analysis, and seasonal adjustment) to predict demand for each SKU for the next 2 weeks.
The system compares forecasted demand against current inventory and reorder points, flagging items that need to be ordered and calculating optimal order quantities.
The automation creates draft purchase orders for all flagged items, with quantities, supplier assignments, and expected delivery dates pre-filled.
A summary message is posted with the list of items ordered, quantities, and expected delivery dates. The manager reviews and approves before supplier emails are sent.
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