Value Prop:
A service that Connects delivery Drones to autonomous vehicles already traveling in the direction the drone is traveling. Reducing energy expenditure of drone and unnecessary crowding of urban airways with drone traffic.
Connection docks on the roofs of autonomous vehicles that drones can access after traveling a short distance from their source point then departing again to go the last 100M~1km directly.
Ports could also exist to enable drone deliveries into autonomous vehicles while traveling. Reducing the need for drive-thrus during road trips.
Ex: A Decentralized Interoperable Open Source Delivery Protocol
Example use case: An autonomous agent leveraging a interoperable delivery protocol to deliver food at a fraction of the cost of Doordash, Uber Eats, and Grubhub:
Current Cost Structure:
Paying the driver for their time, tip, and most importantly delivery fee to the delivery company to cover billions in marketing, stripes processing fee, years of cutthroat undercutting of competitors, and salaries for hundreds of Silicon Valley engineers and designers.
Future Cost Structure:
An AI agent could tap into a backend system that has dynamically updated menu prices for restaurants in their users area allowing restaurants and ghost kitchens to maintain an ideal level of business by shifting their menu and delivery prices in real time. The AI agent could then query a transportation aggregator that has real time data on a variety of potential delivery methods available in the area. An open source drone delivery protocol, free lance bike deliverers, the local pneumatic tube infrastructure, a self driving uber, a Nuro and Starship branded short distance wheeled robot all show up as available.
In this instance the cheapest delivery method at a reliability and timeliness rate the human is comfortable with is a combination of a drone taking the first shift. 2 minutes into its flight a self driving Tesla picks up a rider that is headed in the same direction. The autonomous agent dynamically alters its strategy after negotiating a rate with the self driving Tesla enabling the drone to land and safely and store the food on the Teslas roof. The Tesla briefly pulls off to the side of the road where the passenger gets off and is met by a Starship robot equipped with a robotic arm to take the food from the roof of the Tesla into its heated internal chamber, safely taking the food the final 200 meters to the users front door.
Throughout this process the AI agent could bypass centralized payment providers and instead opt for cheaper Proof of Stake peer to peer cryptocurrencies to pay the restaurant and each delivery partner along the way.
Logistically, what would be an impossible nightmare for a human operator to manage, could become routine with a trusted open interoperable protocol for AI agents to accomplish tasks in the real world.
To develop such an open source backend transportation protocol will require the productization of shortest path algorithms, p2p payments, and integration with the knowledge graph. it will not however require the design and production of a human facing frontend or marketing as each interoperable delivery partner is self motivated to join the network and perform reliably and the ‘customers’ of the protocol are millions of peoples autonomous agents that are seeking out transportation options based solely on cost, and reputation for reliability and speed, not humorous billboards or celebrity endorsements.
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