From technicians and tradesmen to sales agents and delivery drivers, businesses in many sectors manage mobile personnel operating in the field across multiple locations.
Planning a mobile workforce is complex and time-consuming, with time, geographical and personnel constraints to consider.
In-home care in particular is experiencing resourcing challenges like never before.
Looking at aged care alone, nearly one million Australians received in-home care or support in 2019-2020. The Australian Department of Health 2018 “Aged Care Workforce Strategy” notes that almost one million direct care workers may be required by 2050.
Thankfully, artificial intelligence (AI) is making the complex task of planning, scheduling, and rostering in-home care easier, quicker and more accurate.
Daitum’s Mobile Workforce scheduling solution sits at the cutting edge of AI. It can be used to optimise any business problem and is ideally placed to simplify mobile workforce rostering due to its ability to examine a vast number of options in a very little time. It considers all rules and constraints in the process, ranging from the geographical dispersion of jobs and skills requirements to time factors, such as travel time and when a job must be started.
Daitum’s technology was adopted by an in-home care provider with a workforce of over 75 mobile nurses visiting 5 – 10 patients at their homes each day. Factors in determining the work schedule include skills, patient availability, location, continuity of care and patient preferences. The time spent on road by each nurse between home visits was also an important consideration.