Making the most of optimisation in repetitive mobile work

Not all mobile work is constantly changing and unpredictable. In many companies, work is planned in advance and has clear recurring schedules. A typical example can be found in the cleaning sector, where cleaners work to a predetermined calendar. The cycle of repetitive work may be on a daily, weekly or monthly basis, but the importance of optimisation in such an environment should not be underestimated.

Optimisation is not just about managing costs, but above all about enabling business growth. Every shift between jobs takes time that could be spent on billable work. Optimising the organisation of working days can increase the number of customers and turnover without increasing the size or cost of the organisation.

AI-driven optimisation makes visible the opportunities for a company to expand its operations and serve its customers better. By reducing transitions and waiting times, more time is left for core tasks, laying the foundation for profitable growth and sustainable business. At the same time, environmental benefits increase as unnecessary mileage and emissions are reduced.

So optimisation is an investment in the future – in the growth and profitability of your business.

The potential of AI: more than the human eye can see

 

With dozens or even hundreds of employees and even more customers, optimisation brings significant benefits. In cleaning services, for example, cleaning times for customer sites are often well defined, but it is difficult for the human mind to see the potential for reorganising tasks to minimise mileage and make working days run more smoothly.

AI can analyse all calendars and suggest the best changes in an instant. It can:

• Swap customers between employees, if the flexibility of cleaning times allows.
• Adapt the work organisation to optimise the days of your employees.
• Prioritise work so that agreed rhythms and deadlines are met.

 

But AI does not make decisions alone. It provides the foreman with concrete recommendations that can be easily modified as needed. This combination of intelligent analysis and human judgement produces the best outcome.

Optimising technical services: efficient calendars and portfolios

For technical services, such as contract maintenance, it is important to keep accurate time intervals between services. When the work rules are set correctly, AI can:

• Distribute the contracted sites evenly over the calendar year.
• Create effective employee portfolios that reduce shifts and optimise workloads.

Exceptional situations under control and new customers effortlessly

AI also helps you manage changes and new needs in your daily life.

• New repeat customers: With hundreds of calendars, it’s easy to find the person whose regular schedule is best suited to the new job. This minimises mileage and maximises efficiency.

Absences: Standard destinations can be automatically allocated to colleagues, taking into account, for example, designated alternates and previous visits to the destination.

Profitability and fairness for staff

Optimisation allows companies to grow their business profitably by using their existing resources more efficiently. At the same time, it brings transparency to the division of labour and ensures that workloads are distributed fairly among staff. The end result is a more efficient and smoother daily life – for employees and customers alike.