One of the key requirements in the hourly and shift work market is verifying time on the job. Without having a single source of truth to verify time spent at a work site, there is a potential for disputes. Workers and employers may have different records of how much time was spent on a shift, leading to reputational issues and a poor working relationship between workers and clients. Also, if there is no objective way to document time, bad-faith actors can claim that they worked hours that they did not actually work.

For example, workers would claim they left at 5:30pm but the hiring manager claimed they left at 4:30pm. This created challenges for managing their relationships with both customers and their workers. Aligning with the business owner could cause workers to become disgruntled and stop accepting assignments on the Traba marketplace and adopting the position of worker might lead to customer churn. For Traba to keep their customers and matched employees happy, they needed to solve this problem.

A single source of truth for time verification would be the best way to address this important aspect of their business. They built a homegrown solution that would document the employee’s location at the time of clock-in, but this solution did not capture live location during the shift to log shift breaks and clock-out time and location in an automated manner. The team still needed more granular tracking to visualize workers at sites and automate their clock-in and clock-out time and locations. Building this level of location intelligence into their tech stack would propel the business by introducing automation that would automatically provide a single source of truth, but the complexity involved quickly became prohibitive.

After finding out about HyperTrack by combing through online discussion groups to find relevant solutions, technology leadership at Traba engaged the solution team to design a solution to their most pressing issue: a single source of truth that would automatically provide both employees and clients with an accurate accounting of time spent at specific locations.

The Traba team needed to automate the documentation of whena worker visited a client site. Implementing Geofences allowed the team to send a notification when team members arrive at customer locations, and automate the arrival clock in and clock out upon leaving the customer site.

By using HyperTrack’s Orders API, the team was able to quickly build functionality to send notifications to the ops team when a worker is en route to a job site.

Since the operations teams have the location data from job site visits, HyperTrack allows streams of this
data to be presented on dashboards. By receiving this data through webhook streams, Traba is able to see workers in real-time and gain a pulse on what is happening in the field in an aggregate view without depending on staff and service providers to manually provide status updates.

By implementing the HyperTrack solutions, Traba was able to visualize the entire employee journey. While HyperTrack location data provided detailed live location data and automatic clock-in and clock-out functionality, all visible to operations teams via dashboards – the key metric they started tracking was on-time arrival rate.

These estimated arrival events were used to infer whether workers would be on time or even absent, thereby allowing the operations team to make personnel adjustments before being notified by customers or employees if a delay was taking place. The stability of the SDK consistently provided reliable location data, ensuring that all parties - operations teams, workers, and businesses - trusted the information. HyperTrack technology became the foundation for the source of truth that Traba sought. In a matter of weeks, by partnering with HyperTrack, Traba was able to leverage location intelligence to automate manual processes and build trust between all stakeholders on their platform.