Assigning remote staff for visits to clients across any geographic region can be a difficult and tedious task. How smartly you carry out this allocation will have a significant impact on your operational performance and costs.
You will need to consider many variables, including:
Upto half of your staff's productivity is lost travelling between clients. Our algorithms help allocate clients to staff more smartly and reduce travel to a minimum. This means your staff can spend more of their time with clients rather than sitting in traffic.
Once our algorithms have allocated clients to the best geographically placed member of staff, they will then further cluster each group of clients to identify the most efficient subgroups for the purposes of visits. This information can be utilised within diary scheduling to further reduce travel times.
Analysis has demonstrated savings in mileage (and associated expenses), time and headcount when caseloads are allocated in a more structured and analytical manner.
Our algorithms increase productivity by reducing mileage by up to 45% and time spent traveling by 35% and will take into consideration:
Reduce milage
up to 45%
Reduce your staff
turnover
Improve your
bottom line
Increase client
satisfaction
Reduce travel distance by up to 45% and visit the same number of clients.
Save up to 35% less time travelling, increase your available capacity by 8%
Reduce your travel expenditures and staff turnover.
Reduce your environmental impacts by up to 45%.
Taking into consideration:
Taking into consideration: