Plan operator-warehouse and seller-warehouse inventory separately, track inbound and returns correctly, and avoid promising the same unit twice.
Apply AI to profit, inventory and product analysis by linking every answer to metrics and evidence, showing uncertainty and keeping actions human-approved.
A practical seller data architecture: source contracts, raw records, normalization, quality controls and traceability from every number to a decision.
Calculate a reorder point from demand, full lead time, safety stock and inventory position, then apply purchasing constraints.
Prepare sales history, handle stockouts, seasonality and promotions, build scenarios and measure forecast error.
A practical weekly control system for sales, inventory, advertising, profit and payout reconciliation, with owners and source verification.
Build an auditable management report with field mapping, grain, identifiers, dates, signs, normalization and source reconciliation using the ProfitVena approach.
Build SKU unit economics from actual Wildberries operations, validate per-unit costs and test pricing or discount scenarios in ProfitVena.
Diagnose growth without profit by comparing periods, building a driver bridge and finding the SKU that consumes margin.
A practical workflow for combining Wildberries reports, product costs and external expenses, reconciling Profit Engine and finding the SKU that needs action.
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