Field Services

Generate highly accurate demand forecasts. The predictive algorithms use your historical data, client data and other data sources such as market changes, competition data and feedback from field services employees to generate reliable demand forecasts. Continuous training of the algorithms guarantee up-to-date and actionable demand forecasts.

Inputs for capacity planning are the demand forecast, constraints, restrictions, business rules and workforce supply. Based on this input the optimisation algorithms calculate the most optimal capacity plan. Providing full insight in costs, workload and hiring needs. Use capacity planning to drive your recruitment strategy. Play around with multiple What-If scenario’s by changing workforce availability, attrition rates, demand, impact of training, labour rules or other factors. Get deep insights in what drives your business.

Create an optimal shift schedule that efficiently covers the forecasted labour need and maximises fulfilment of service levels. All restrictions and rules are taken into account such as labour rules, desired shift patterns, min max shift durations and smart distribution of scarce skills over shifts. Next step is the assignment of employees to shifts based on all relevant factors such as skills, seniority, preferences, location, priorities and customer requests.

Schedule each individual employee and dispatch tasks in the most optimal way taking all constraints and cost factors into account such as customer priorities, skills, driving times, parts or equipment availability, customer preferences and labour availability. Scheduling and dispatching is fully automatic and optimised but the planners may overrule any suggestion of the system. Instantly the planner will see the impact and, if needed, alternative solutions.

Minimise the impact of disturbances. No day is the same, unexpected events will disrupt your schedule. Small disturbances may have a substantial impact. The day-of-ops re-optimisation function will instantly calculate all consequences of any disturbance and re-optimise the schedule or part of schedule.