The management of field operations nowadays obtains its optimal efficiency thanks to digital technologies equipped with Artificial Intelligence. The challenges of the past, resulting from operational difficulties linked to the distances of field deployment, routing of operators, scheduling and processing of work orders or the allocation of resources in the field, today can be left in the past and achieve full operational efficiency as a result of proper systematization and, in many cases, automation. 

For those processes that we can automate, Artificial Intelligence generates a substantial differential.

When it comes to handling huge volumes of data, both new data updated in real time and historical volumes of data to predict trends, Artificial Intelligence enables scope for action at a scale and level of efficiency that would otherwise not be possible. 

Therefore, the challenges linked to the scale of our operations and the volume of data derived from them are no longer such for a digital software equipped with Artificial Intelligence such as GoDoWorks. This facilitates coordination and operational monitoring. 

The ability to report data is enhanced by AI. The monitoring of performance indicators (KPIs) can be sorted according to relevance factors; this generates a signaling or notification flow that, in the breadth of information gathered, allows for better supervisory or managerial decisions. This provides some with an up-to-date understanding of the day-to-day challenges of field operations and others with a broader and deeper knowledge of market demand.

How artificial intelligence brings value to field technician management

Artificial intelligence facilitates all actors in the field operational process. On the technicians' side, AI can make it easier for them to make routing decisions. By delegating optimal routing to an intelligence that obtains updated traffic information and dynamically finds the best route for the current moment, we save time and operational work and speed up operations by reducing waiting and idle times. 

AI also makes it possible to predict trends: whether market-related demand trends or trends in certain states or conditions in the field in which technicians move, according to specific times of the day, week or year. On the one hand, this information is used to improve the routing of operators; on the other hand, the signaling of market demand peaks allows for an appropriate forecast, both in the immediacy and in a long-term report. 

Finally, eventualities linked to the coordination of field services and reallocation of resources can be automated thanks to an AI that obtains information from several sources simultaneously. 

Why is artificial intelligence the key differentiator?

A digital system makes it possible to avoid errors, which are often the result of human omissions. These systems, equipped with complex algorithms that give them dynamism and the predictive capacity derived from enormous amounts of information, enable truly intelligent processes. 

Artificial intelligence is a differential because it allows us to automate processes: this saves operating time at all levels and allows us to use fewer resources to accomplish the same tasks. On the client's side, the streamlining resulting from AI ensures compliance with the time and quality of service we have agreed upon.