Leading logistics brand: reduce per diem cost
The challenge for us was to use analytics to determine if per diem costs can be reduced and by how much and with what factors. We studied a full year of data consisting of 110,000 records to isolate 35 key variables and built models to show which factors or combinations of factors matter most.
- $1.3 Million expense reduction by targeting the three most relevant cost drivers
- 110,000 records of data studied to identify 35 key variables
- Built data models to show the most rewarding factors or combination of factors