This dashboard was created at the request of the Trading House Director to provide a comprehensive view of business performance. It includes all key metrics necessary for monitoring and decision-making, such as GMV, OTIF, order fulfillment, product categories, and delivery performance.
This dashboard is highly specialized in the 1877 catalog, which is defined as a trading house catalog.
- Widget Type: Line Chart
- Description: Shows the dynamics of Gross Merchandise Value (GMV) from October 2024 to July 2025.
- Purpose: To track trends in sales volume and identify seasonal patterns or growth/decline points.
- Widget Type: Bar Chart
- Description: Displays the GMV of orders delivered on time (purple) and delayed (orange), grouped by month.
- Metric: Planned delivery date
- Purpose: To assess the percentage of orders delivered on time and identify delivery bottlenecks.
- Widget Type: Bar Chart
- Description: Shows the number of orders delivered on time (purple) and delayed (orange), grouped by month.
- Purpose: Complements the GMV-based OTIF metric with order-level analysis.
- Widget Type: Bar Chart
- Description: Shows the number of orders by delivery type: full delivery, partial delivery, and no delivery.
- Purpose: To analyze the completeness of order fulfillment and identify issues in the logistics chain.
- Widget Type: Pie Chart / Horizontal Bar Chart
- Description: Displays the share of GMV by product category.
- Purpose: To understand which categories contribute the most to overall sales.
- Widget Type: Table / Horizontal Bar Chart
- Description: Lists the top 10 products by GMV.
- Purpose: Helps identify best-selling items and potential growth opportunities.
- Widget Type: Table / Bar Chart
- Description: Shows the number of delayed orders grouped by responsible party: Supplier, Logistics, or Warehouse.
- Purpose: Aids in root cause analysis and accountability tracking.
| File | Widget | Description |
|---|---|---|
1.1_GMV_and_related.sql |
GMV Dynamics, Orders, Orders under 1500, Average Check, Ownership Time | Calculates key sales metrics |
2.1_OTIF_analysis.sql |
OTIF by GMV and Model Count | Shows on-time and delayed orders |
3.1_Cancel_reasons.sql |
Cancel Reasons | Lists reasons for supplier order cancellations |
- SQL queries executed in Postgres
- Final dataset prepared using SQL and visualized via Metabase
- Monitoring trading house performance
- Identifying bottlenecks in delivery
- Supporting strategic decisions by the Trading House Director
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