One of the most frustrating situations is to wait for the technician at home. It usually takes hours,and we can’t do anything else, and they are often late as well. This is a very frustrating experience but look at it from the perspective of the company, they don’t have a good way to plan their route in advance, to analyze real time data and to perform real-time navigation.

This is where Timing comes in.

Our vision is to do to technicians what Gett did to taxi drivers. We are using the B2B platform to get there:
Timing is a system that can increase the productivity of the company dramatically, which is key to service providers

Our unique algorithm takes into account a large spectrum of variants including learning the specific behavior of the technician and performing a smart prediction of the technician’s route and his constantly changing locations during the day. With this prediction, we enable the company to provide their consumer an estimated time of arrival days in advan...
One of the most frustrating situations is to wait for the technician at home. It usually takes hours,and we can’t do anything else, and they are often late as well. This is a very frustrating experience but look at it from the perspective of the company, they don’t have a good way to plan their route in advance, to analyze real time data and to perform real-time navigation.

This is where Timing comes in.

Our vision is to do to technicians what Gett did to taxi drivers. We are using the B2B platform to get there:
Timing is a system that can increase the productivity of the company dramatically, which is key to service providers

Our unique algorithm takes into account a large spectrum of variants including learning the specific behavior of the technician and performing a smart prediction of the technician’s route and his constantly changing locations during the day. With this prediction, we enable the company to provide their consumer an estimated time of arrival days in advance. Timing continues to perform route optimization in real time during the work day, adjusting the route to day to day constraints. This process helps service providers save money and resources and reduce the number of delays during the day. We were able to get Tadiran-group, our current pilot, to reduce their delays dramatically.
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