Kate is on the Lift Ventures product team, and is responsible for predicting customer demand to schedule the right number of employees for upcoming shifts.
Before Enki, staffing was done using rough estimations based on manually gathered data about the current level of demand.
Using the skills she learned from Enki's Data 101 track, Kate built a dashboard that automatically retrieves demand data and suggests a recommended number of staff.
Instead of manually gathering information about current demand and using it to estimate, she can now instantly access the most up to date data to make a decision.
This automation has saved Kate 4 hours of time that would have otherwise been spent manually gathering the latest demand data to make estimates.
This works out to approximately $8,800 in lost time being saved every year.
Having that friendly technical colleague by your side at all times isn’t cheap! But our software allocates their time in a way that makes it 10X more cost-effective than if it was all offline.
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