SadaIQRetail numbers that finance and stores both accept
Sales, orders, fulfillment, repeat purchase, inventory and margin are defined once, so every team reads the same trading picture.
From shelf to scorecard
A revenue bridge shows what moved net revenue between periods. Cohorts show whether new customers come back. Regional views compare stores or markets on a common total. All sample figures on this site are illustrative synthetic data.
- Store, e-commerce and finance teams each report revenue differently, so trading reviews begin with an argument about the number.
- Orders, customer and inventory sources are connected once. Net revenue, repeat rate and margin are defined in the semantic layer and reused across every report.
- A revenue bridge shows what moved net revenue between periods, with cohort and regional views on the same total.
- Create an account and define net revenue as your first governed metric.
Illustrative synthetic data
Net revenue by product line, in synthetic thousand units
| Product line | Value |
|---|---|
| Home | 4792 |
| Fashion | 4153 |
| Electronics | 3690 |
| Grocery | 2765 |
- Home is the largest product line at 4,792 thousand units.
- Fashion contributes 4,153 and electronics 3,690.
- Grocery is the smallest at 2,765.
- Rectangle area is proportional to net revenue.
Illustrative synthetic data
Net revenue by region, in synthetic thousand units
| Region | Value |
|---|---|
| North | 4276 |
| South | 3814 |
| East | 3784 |
| West | 3526 |
- The north leads with 4,276 thousand units.
- The south follows with 3,814 and the east with 3,784.
- The west is lowest at 3,526.
- The four regions together total 15,400 thousand units.
A chart for this industry
A synthetic example of a question common in this industry.
Category ranking by revenue
Which categories carry the revenue and which fell behind the prior year?
Horizontal bars show each category ranked with the prior year beside it; long labels wrap onto several lines and are never cut. Show table
Category ranking by revenue Category This year (thousand synthetic currency units) Prior year (thousand synthetic currency units) Home goods, furniture and decor 482 thousand synthetic currency units 455 thousand synthetic currency units Fashion, shoes and seasonal accessories 391 thousand synthetic currency units 420 thousand synthetic currency units Electronics, smart devices and accessories 655 thousand synthetic currency units 590 thousand synthetic currency units Grocery and fresh food products 301 thousand synthetic currency units 288 thousand synthetic currency units Garden and plant care tools 148 thousand synthetic currency units 160 thousand synthetic currency units Beauty, personal care and fragrance 266 thousand synthetic currency units 231 thousand synthetic currency units Sports, camping and outdoor activities 187 thousand synthetic currency units 176 thousand synthetic currency units Books, stationery and study supplies 94 thousand synthetic currency units 99 thousand synthetic currency units