Autom back orders1/17/2024 ![]() ![]() Inventory - As items are created, fulfilled, purchased, and received, BizAutomation automatically manages all your inventory levels. Report reasons for RMAs including profitability impact. Returns / RMAs & Warrantee Management - Base return policy from warrantee periods. Automatically invoice orders with ability to automatically send attached PDF Invoices to customers.ģPL Fulfillment/ Amazon FBA - Send ship requests and receive order acknowledgements, to automatically update inventory levels. Packing & Shipping - Print branded packing slips, tacking #s, and shipping labels. Allocation logistics prevent product allocated to older orders don’t get unintentionally picked for newer orders. Picking & Barcode Scanning - Pick by barcode. Order Fulfillment - Fulfill by order or batch fulfill hundreds of orders per day quickly and efficiently: Pricing & Promotions Management - Extensive pricing and promotion wizards enable any number of discount incentive formulas, including up-selling, cross-selling, substitution selling, and more. Multi-Brand Organizations - Create brand specific customer facing documents such as quotations, order confirmations, receipts, and invoices. Manufacturers - Sell from stock and / or build to order. Wholesale Distributors - Split orders into multiple ship-from, ship-to, drop-ship, and ship schedules. Retailers - Generate orders in seconds, including payment processing, live ship-rates, and POS. This is the target value.Customized Order & Process Flow - Customize your ordering process by business model: Went_on_backorder – Product actually went on backorder. ![]() Local_bo_qty – Amount of stock orders overdue Perf_12_month_avg – Source performance for prior 12 month period Perf_6_month_avg – Source performance for prior 6 month period Pieces_past_due – Parts overdue from source Potential_issue – Source issue for part identified Min_bank – Minimum recommend amount to stock Sales_9_month – Sales quantity for the prior 9 month time period Sales_6_month – Sales quantity for the prior 6 month time period Sales_3_month– Sales quantity for the prior 3 month time period Sales_1_month – Sales quantity for the prior 1 month time period In_transit_qty – Amount of product in transit from sourceįorecast_3_month – Forecast sales for the next 3 monthsįorecast_6_month – Forecast sales for the next 6 monthsįorecast_9_month – Forecast sales for the next 9 months Lead_time – Transit time for product (if available) National_inv – Current inventory level for the part To model and predict the target, we’ll use the features columns, which are: The data has 23 columns including 22 features and one target column.
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