Dave Gwozdz

There are almost 8 million uber drivers, +Uber eats drivers,  +Lyft etc... they are all becoming more dissatisfied with the earning level and penalties for not accepting a high % of low paying trips. My company will develp an AI assisted app that sit op top of and  ingests Uber/Lyft data to allow users to tell the app where geographically they  want to start and end shifts as well as remembers large tippers to automatically score and make decisions to accept or decline each trip to maximize payout and time efficiency for a small fee per trip.

Founded on 24 December 2024

Elevator Pitch

When ride sharing services were first launched, most drivers were extremely happy with the process and earnings.  However, over time every driver has noticed lower payouts and are generally frustrated with the algorithms that  the ride share companies have added which demand they accept a certain level of requests or risk being relegated to lower fare trips. Many of the trip requests, especially Door Dash, push the drivers to drive long distances, for meager earnings, often forcing the drivers to wait at restaurants for food, or providing wrong drop of addresses, all of which waste time for the drivers. declining these inefficient trips push the driver down in the pecking order for lucrative trips.  In addition there is no way for driver to log and recall past trips with high or low tipping customers, which pick up locations are problematic for parking, which restaurants are often slow to prepare meals. each trip request gives the drivers mere seconds to decide to accept or decline. The decision to accept a trip can often lead to wasted time, leave the driver in a dead zone with no fare upon return, or fare from their intended stop zone.  These trips often have them wasting valuable time finding parking or often getting parking citations or waiting on slow restaurants, or low tippers.  declining trip requests punish the drivers and prohibit them from making maximum revenue per trip.  In short, the entire process is manged by Uber, Lyft, Door Das etc,, to maximize their revenue , forcing the drivers to behave as commanded. This app, utilizing ai, would finally put the driver in control and maximize the drivers tie and earnings. I have done much research and across the board, drivers tell me they would give up a few cents per trip if there was a way to maximize earnings by helping them decide in seconds, which  trips to accept, ignore or decline.  Each request would be instantly scored - based on the collective universe of trips from all drivers on the app.   For instance a request for $40 for an Uber, might leave them in a zone far from  where they want to be at the end of their shift,  or a request for a $10 Uber Eats trip might be frm a custmer who often add extra tips in addition to the $1o shown on the request.