Retail Intelligence
Sales Comparative
Previous Year
₱9,060,000
Comparable periodCurrent Year
₱9,090,000
Comparable periodVariance
+₱30,000
+0.3%Branch Movement
3+ / 3-
Positive vs negative branchesYear-over-Year Comparison
Branch Sales Comparative by Region
This module compares previous year sales against current year sales per branch. Positive variance means the branch improved. Negative variance means the branch declined versus last year.
LUZON Region
Previous year vs current year sales performance
| Branch | Cluster / City | Previous Year | Current Year | Variance Amount | Variance % | Unit Variance | Status |
|---|---|---|---|---|---|---|---|
| Robinsons PampangaBR005 | Central LuzonSan Fernando | ₱1,180,000 | ₱990,000 | -₱190,000 | -16.1% | -105-17.2% | Needs Review |
MINDANAO Region
Previous year vs current year sales performance
| Branch | Cluster / City | Previous Year | Current Year | Variance Amount | Variance % | Unit Variance | Status |
|---|---|---|---|---|---|---|---|
| SM DavaoBR004 | DavaoDavao City | ₱1,320,000 | ₱1,425,000 | +₱105,000 | +8.0% | +35+5.1% | Slight Growth |
NCR Region
Previous year vs current year sales performance
| Branch | Cluster / City | Previous Year | Current Year | Variance Amount | Variance % | Unit Variance | Status |
|---|---|---|---|---|---|---|---|
| SM North EDSABR001 | Metro Manila NorthQuezon City | ₱1,850,000 | ₱2,125,000 | +₱275,000 | +14.9% | +145+15.4% | Strong Growth |
| GloriettaBR002 | Metro Manila SouthMakati | ₱2,250,000 | ₱1,980,000 | -₱270,000 | -12.0% | -140-12.5% | Needs Review |
VISAYAS Region
Previous year vs current year sales performance
| Branch | Cluster / City | Previous Year | Current Year | Variance Amount | Variance % | Unit Variance | Status |
|---|---|---|---|---|---|---|---|
| Ayala CebuBR003 | CebuCebu City | ₱1,480,000 | ₱1,695,000 | +₱215,000 | +14.5% | +90+11.5% | Strong Growth |
| Iloilo Business ParkBR006 | IloiloIloilo City | ₱980,000 | ₱875,000 | -₱105,000 | -10.7% | -65-12.5% | Needs Review |
Recommended Additional Data
Useful fields to improve this module later
Make sure both years use the same month/week/date range. Example: January 2025 vs January 2026.
Helps identify if sales changed because of more customers or higher average purchase value.
Helps separate price-driven growth from actual product movement.
Current sales divided by transaction count. Useful for store performance review.
Important if some branches opened, closed, or relocated between years.
Allows comparison against both last year and current business target.