How artificial intelligence solves the biggest problem companies face in the field

Field operations management today reaches peak efficiency thanks to digital technologies equipped with artificial intelligence. The challenges of the past — the operational difficulties tied to the distances involved in field deployment, to routing staff, to scheduling and processing work orders or to allocating resources in the field — can now be left behind, with full operational effectiveness resulting from proper systematization and, in many cases, automation. 

For the processes we can automate, artificial intelligence makes a substantial difference.

When it comes to handling enormous volumes of data — both new data updated in real time and historical volumes that make it possible to predict trends — artificial intelligence opens up a field of action at a scale and level of efficiency that would otherwise be impossible. 

So the challenges tied to the scale of our operations and the volume of data they generate cease to be challenges for digital software equipped with artificial intelligence, like GoDoWorks's. That makes coordination and operational supervision easier. 

AI also improves the ability to report data. Monitoring of performance indicators (KPIs) can be ordered by relevance; that creates a flag or a stream of notifications which, within the breadth of information captured, supports better supervisory or management decisions. It gives some people an up-to-date grasp of the daily challenges of the field operation and others a broader, deeper understanding of market demand.

How artificial intelligence adds value to managing field technicians

Artificial intelligence makes things easier for everyone involved in the field operation. For technicians, AI can take route decisions off their hands. By delegating optimal routing to an intelligence that has up-to-date traffic information and dynamically works out which route is best right now, we save time and operational effort and speed up operations by cutting waiting and idle time. 

AI also makes it possible to predict trends: whether demand trends tied to the market or trends in certain states or conditions of the terrain technicians move through, according to specific times of day, week or year. On one hand, that information improves staff routing; on the other, flagging peaks in market demand allows planning to match, both immediately and in long-term reporting. 

Finally, the contingencies involved in coordinating field service and reassigning resources can be automated by an AI drawing on several sources of information at once. 

Why is artificial intelligence the decisive difference?

A digital system prevents errors, which usually come from human oversight. These systems, equipped with complex algorithms that make them dynamic and with predictive capacity drawn from enormous quantities of information, enable genuinely intelligent processes. 

Artificial intelligence is a differentiator because it automates processes: that saves operational time at every level and lets us use fewer resources for the same tasks. On the client side, the speed AI brings ensures we meet the timings and service quality we agreed.