Based on a doctoral thesis

Zypps is the result of the commercialization of rigorous Research & Development (R&D) academic work. Its genesis is a result of the founder, Dr. Michael Treasure, pursuing at the time, his Doctoral degree in Engineering Management from the George Washington University focused on the transport mobility space. For research purposes, Dr. Treasure took it upon himself to conduct nearly 2,500 rides on the Uber and Lyft platforms throughout the Atlanta, GA metropolitan area; he documented and statistically analyzed the collected data, such as how often the car had passengers, the amount each rider paid, the duration and miles of each ride and how much time and mileage was spent riding around looking for passengers.

His data was telling: the average loaded (with a rider) trip miles in a vehicle was 8.87 miles, while the average unloaded trip mile was 4.21 miles, so unloaded relative to loaded miles per trip was approximately 47 percent. The average ride time of a trip with a rider was 18.51 minutes, while the average wait time for the next ride was 23.66 minutes.

In plain terms, Dr. Treasure found that on average, the driver spent more time waiting for the next ride than with a rider in the car.

He then attempted to calculate their take-home pay given those statistics. The average day’s revenue for an 11 hour and 38 minutes work day (yes, that’s almost a 12-hour work day!), driving on average more than 288 miles for the day, would translate to less than $12 per hour in gross revenue — or approximately $0.46/mile.

“These poor results would in part explain why drivers working for current Transport Network Companies (TNC)s, in the (a) ride sharing space, such as Uber & Lyft, and (b) in the last mile same day package delivery space, such as Postmastes & GrubHub, are grossly unhappy with their earnings and why there is such high churn rates in the industry,” says Dr. Treasure.

Dr. Treasure set about finding a solution to the problem, developing a patent-pending algorithm that focuses on scheduling rides in advance, whether it be people or package, to match riders/package recipients with drivers appropriately matched to increase their efficiencies and earnings per hour. Instead of an Uber or Lyft model where the ride is immediately on-demand, Lymousine, allows riders and package delivery companies to schedule their rides/deliveries as soon as 20 minutes in the future. The Zypps Model is up to 30% more efficient than other TNC models, drivers within the US are paid a minimum of $20 per hour for an active work window and the Zypps model is more environmentally friendly emitting up to less than 78 lbs. of Carbon emissions than other TNC models.