Augmented Reality Delivery Routing with Agent Annotations
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Solution Overview
Problem
Experienced delivery agents often possess valuable route-specific information that is not captured by routing applications, leading to inefficiencies when new agents take over routes, as they lack awareness of optimal parking spots, access points, and other critical delivery details.
Innovation Solution
The implementation of an augmented reality system that captures and presents delivery route information to agents, including routing, parking, and access points, allowing them to annotate and share real-time insights, ensuring that new agents can navigate efficiently by overlaying user interfaces on displays with relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If routing applications are used to generate delivery routes, then delivery routes can be standardized and managed centrally, but valuable route-specific information known to experienced agents is not captured
Solution Approach 1:
The system performs preliminary action by capturing and storing route-specific information from experienced delivery agents before new agents need it. The annotation system allows experienced agents to record parking locations, access points, and other critical route details in advance, making this knowledge available to future agents without requiring them to learn from scratch
Solution Approach 2:
The system uses copying by creating digital annotations that replicate the knowledge of experienced agents. These annotations are stored as data structures and transmitted to new agents, effectively copying the experiential knowledge into a transferable digital format that preserves route-specific information across agent transitions
2Adaptability or versatility
If new delivery agents are assigned to routes without prior knowledge, then agent flexibility and route assignment flexibility improve, but delivery efficiency decreases due to lack of awareness of optimal parking spots and access points
Solution Approach 1:
The system implements feedback by providing new agents with annotated route information from experienced agents. The annotations serve as feedback that guides new agents through optimal parking spots, access points, and delivery locations, enabling them to perform efficiently without prior personal experience of the route
Solution Approach 2:
The system uses an intermediary approach by introducing digital annotations as a mediator between experienced and new agents. These annotations act as a knowledge bridge, transferring critical route information through the system infrastructure without requiring direct interaction between agents
3Ease of operation
If experienced agents retain knowledge through personal memory, then no additional system complexity is required, but knowledge cannot be transferred to new agents
Solution Approach 1:
The system applies copying by transforming the experienced agent's personal knowledge into digital annotations that can be stored and transmitted. This creates a replicable copy of the knowledge that can be distributed to multiple new agents without depleting the original agent's knowledge
Data Source
AI summary
Disclosed are various embodiments for providing augmented reality assisted deliveries. Some embodiments include determining a current location of a client device and a next node in a delivery workflow based at least in part on the current location of the client device. Then, the client device renders the next node in the delivery workflow on an augmented reality display linked to the client device. Various embodiments can also include identifying a plurality of delivery workflows that include a destination node that corresponds to a delivery and selecting select a delivery workflow from the plurality of delivery workflows based at least in part on a delivery constraint. In these embodiments, a delivery route to a routing node is generated, wherein the routing node comprises an entry to the selected delivery workflow. The delivery route and the delivery workflow are then sent to an augmented reality client.