Four Star Seafood
AI-Powered Order Recommendations Based on Sales Patterns & Lead Times
Pars are automatically adjusted based on: monthly seasonality patterns, upcoming holidays, and year-over-year trends.
Order Qty = (Weekly Par × Buffer) - Stock at ArrivalStock at Arrival = Current Stock - (Daily Usage × Lead Time)
Days from order to delivery (1-14). This affects how much stock you'll use before the order arrives. Can be overridden per vendor.
Extra buffer on top of order cycle (0-100%). Default: 25%. At 25%, if you order 2×/wk (3.5 day cycle), you'll target 4.4 days of stock.
Multiplier for standard deviation in par calculation (1.0 - 3.0). Default: 1.5. Higher = more buffer in weekly par.
Manual seasonal adjustment (+/- %). Use if automatic seasonal prediction is disabled.
Products excluded from ordering recommendations and Today's Needs. Use for items you don't purchase through this platform.
💡 Tip: You can also exclude products directly from the dashboard by clicking the ✕ button on any recommendation row.
Data-driven insights from your actual sales history, inventory, and pricing data.
Click column headers to sort • Click stock values to edit
Connect directly to your Access database via API. Pulls inventory, sales history, vendors, pending POs, committed orders, and seasonal factors in real-time.
Pipeline data is synced automatically from the ERP. Shows pending POs, committed orders, UOM conversions, and default UOMs.
| SKU ⇅ | Product Name ⇅ | Category ⇅ | SFO Stock ⇅ | SFO Par ⇅ | LAX Stock ⇅ | LAX Par ⇅ | Status ⇅ |
|---|
Manage supplier relationships and performance
| Vendor ID | Vendor Name | Location | Lead Time | Del Exp | Order Min | Order → Delivery Schedule |
|---|
Vendor-product relationships and lead times are synced from ERP
Create and manage purchase orders & inter-location transfers
Track air cargo shipments via AWB numbers from purchase orders
Upload and manage vendor price lists for cost comparison and PO reference