Web Shop Tool

The tool ingests cost, current price, and target margins per SKU to compute recommended prices and projected profitability. Conceptually, it treats price as a lever to achieve target margins while estimating revenue impact across the catalog. Users supply per-SKU data, and optional inputs such as elasticity or competitor prices can refine adjustments. Core value sits in enabling rapid scenario testing, so pricing teams can compare multiple margin targets, forecast outcomes, and align offers with demand signals. Outputs include recommended_price, estimated_margin, and revenue projections suitable for CSV exports or downstream feeds. Use cases include promotional pricing during launches, seasonal campaigns, and optimizing catalog profitability across a large SKU set. The tool emphasizes accuracy, currency handling, and aggregation readiness, helping business stakeholders make evidence-based changes without reliance on manual spreadsheet modeling. Unique value arises from structured, rule-based pricing calculations, clear input validation, and optional data enrichment for more precise recommendations. Core features cover per-SKU calculations, bulk import/export readiness, and currency-aware rounding. Practical use scenarios include evaluating a range of target margins for a new product line, comparing current pricing to suggested prices, and exporting results for merchandising teams to execute. By design, it serves ecommerce pricing, revenue planning, and catalog optimization teams seeking faster, repeatable price decisions with auditable outputs.