Record monthly hires, improved inventory, and simplified planners collaboration.
Tailoring the solution to the specific needs of the end-users and keeping complexity transparent to the planners by offering a simple and crisp UI, were critical project success factors. From a technical standpoint, combining sophisticated optimization techniques with Machine Learning Forecasting
was key to achieve results.
The project was implemented in August 2017 and had measurable results by October 2017 with a record hire month, followed by a second record hire month in November. According to Serco, DecisionBrain’s solution led to very positive and quantifiable results.
15% reduction in parts spend
15% increase in driver productivity