How optimal routing substantially improves operations

Optimal routing means finding the perfect path from point A to point B; that is, among all the possible ways through a network of streets and roads, finding the one that is "best". From that very statement comes the need to define the best route: the one that gets us there in the least time, on which we will meet the fewest obstacles, the one that lets our field staff save the most time and energy and therefore improves the field operation as a whole through better routing.

Optimal routing has evolved over the years; the most modern technologies interact with the live condition of routes and roads, constantly and dynamically defining and redefining the best way to get from point A to point B.

Companies running field operations, with everything that deployment requires, need not only to monitor their staff's activity but to make it easier, through valuable tools that make their routing more efficient and simpler — that is, that spare them decisions and save them time choosing routes. 

Optimal routing raises logistics productivity: it lowers operating costs and makes the field worker's job simpler and more efficient

Routing technology reduces field teams' idle time. The time a worker spends deciding which route to take is handled faster and more intelligently by software like the one GoDoWorks designs, which knows exactly the variables specific to the technician and their field work and therefore cuts the effort spent on routing in field operations. That in turn reduces all the coordination work tied to routing and improves operational, administrative and management processes alike. The various waiting times that arise when different players in this chain interact go down, producing operations that are smoother, more flexible and, above all, more efficient.

Those improvements and savings translate into higher productivity and lower costs. For example, our experience streamlining processes alongside companies such as Conatel, Axon Pharma and Contacto Solutions allowed us to cut operational and management times and costs which, combined with all the process digitization the GoDoWorks tool brings, improve productivity by more than 20%. 

Optimal routing is safer, more efficient and more intelligent because it not only captures real-time data but knows its historical evolution and anticipates demand

The artificial intelligence that determines which route is the best choice at a given moment has current, accurate information a human driver does not. It can also produce, in an instant, a historical view of route demand for a given area according to the time of day, week or year, giving it a richer context for optimal decisions. 

The route optimization the most modern artificial intelligence performs is no longer static but dynamic: routing is treated as open to unexpected factors, such as failures in the process, and so the decisions are dynamic, handling large quantities of information simultaneously and taking in  a multitude of processes and workers in parallel. That substantially eases the supervision load operations require and improves the quality of that supervision.

Optimal routing also makes the operation safer, letting the technician at the wheel concentrate better and avoid roads in poor condition or congested routes where accidents are more likely. 

Better timings mean happier clients

Saving waiting time and cutting driving time speed up the operation as a whole. Those benefits show up in the service delivered which, from the client's side, means better punctuality, fewer delays and a better response. In other words, the tools we bring into the operation secure the quality agreed with the client.

Conclusion

Optimal routing is one of the tools geo-management software uses to improve field operations. It lets the field worker navigate complex routes better through integration and knowledge of their field activity, making things easier for them and their supervisors, and shortening times and distances. That translates into an overall improvement in operations and a marked rise in the productivity of field processes.