Building a global multi node inventory scheduling network based on machine learning algorithms and deep adaptation of Amazon FBA rules. Real time synchronization of FBA warehouses, overseas warehouses, in transit inventory, and supplier production data, dynamic calculation of safety stock levels, automatic generation of replenishment instructions (accurate to SKU/warehouse/logistics channel), and reduction of out of stock risks.
Intelligent replenishment engine: Combining sales trends, procurement lead times, logistics timeliness, and Amazon’s IPI score to generate the optimal replenishment plan. Support multivariable adjustments (such as promotion plans, new product ramp up periods) to avoid excessive hoarding
Risk prevention and control of unsold goods: Automatically mark SKUs with a shelf life of over 60 days and a 30% decrease in sales compared to the previous period, and collaborate with off-site clearance channels (such as Outlet and Deal) to generate promotional plans and reduce long-term storage fees
FBA cost optimization: Monitor the proportion of redundant inventory and changes in IPI scores, and warn of excess storage capacity costs. Provide storage capacity release strategies (such as creating and removing orders, merging shipments) to save storage costs