1. Assign a commission tier based on region and units sold
| Order ID | Region | Rep | Units | Unit Price | Order Date |
| 101 | East | Alice | 120 | 15.5 | 2024-01-10 |
| 102 | West | Bob | 160 | 12 | 2024-02-05 |
| 103 | South | Carol | 80 | 20 | 2024-03-12 |
=IFS(B2="East", "East Tier", C2>150, "High Volume", TRUE, "Standard")
Result: East Tier
The first row is evaluated: B2 equals "East", so the first logical test is TRUE and IFS returns "East Tier" without checking later conditions. If the region were not East, the next test would compare Units (>150) and finally fall back to the default TRUE case.
2. Classify each order into its fiscal quarter
| Order ID | Region | Rep | Units | Unit Price | Order Date |
| 101 | East | Alice | 120 | 15.5 | 2024-01-10 |
| 102 | West | Bob | 160 | 12 | 2024-05-22 |
| 103 | South | Carol | 80 | 20 | 2024-11-03 |
=IFS(MONTH(F2)<=3,"Q1",MONTH(F2)<=6,"Q2",MONTH(F2)<=9,"Q3",TRUE,"Q4")
Result: Q1
For the first order the month extracted from the date (January = 1) satisfies the first condition (<=3), so IFS returns "Q1". The other rows would meet the second or fourth condition, but because the formula stops at the first true test each row gets the correct quarter label.
3. Flag high-value orders (total > $2,000)
| Order ID | Region | Rep | Units | Unit Price | Order Date |
| 101 | East | Alice | 120 | 15.5 | 2024-01-10 |
| 102 | West | Bob | 160 | 12 | 2024-05-22 |
| 103 | South | Carol | 80 | 20 | 2024-11-03 |
=IFS((D2*E2)>2000,"High Value",TRUE,"Regular")
Result: Regular
The total for the first order is 120 × 15.5 = 1,860, which does not exceed 2,000, so the first test is FALSE. IFS then evaluates the default TRUE condition and returns "Regular". If the total had been above the threshold, "High Value" would be returned.