Confidence Ratings for Item Delivery via Location Event Tracking
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Solution Overview
Problem
In the context of ecommerce, there is a need to confirm that items have been properly delivered to the intended delivery addresses, as customers and retailers seek assurance regarding the delivery process.
Innovation Solution
A method and system for determining a confidence rating for delivery by tracking location events within a zone of confidence for a serviceable address, using computing entities and data collection systems to assess the accuracy of item delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional delivery confirmation methods are used, then the delivery process is simple and quick, but there is no reliable way to confirm that items were properly delivered to the intended addresses
Solution Approach 1:
The patent introduces a computing entity that acts as an intermediary between the delivery vehicle and the verification system. This entity collects location information from multiple sources (GPS, cell towers, Wi-Fi access points) and processes it to determine delivery confidence ratings, serving as a mediator that transforms raw data into reliable delivery confirmation without requiring complex changes to the delivery process itself
Solution Approach 2:
The system implements feedback by continuously monitoring location events and comparing them against expected delivery locations. The computing entity analyzes whether the vehicle's location at delivery time matches the expected address within acceptable parameters, providing feedback that confirms or refutes successful delivery and adjusts confidence ratings accordingly
2Measurement precision
If multiple location tracking methods are implemented to improve delivery verification accuracy, then delivery confirmation reliability increases, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent segments the location verification process into distinct components: primary location determination (GPS), secondary verification (cell tower triangulation), tertiary confirmation (Wi-Fi access point detection), and final confidence rating calculation. Each component handles a specific aspect of location verification, reducing overall system complexity by dividing the complex task into manageable segments that can be processed independently
Solution Approach 2:
The system employs partial action by selectively applying different verification methods based on the delivery context and available data. Not all location verification methods are always activated - the system uses the minimum necessary methods to achieve sufficient confidence levels, reducing processing complexity while maintaining measurement precision when needed
Data Source
AI summary
Computer program products, methods, systems, apparatus, and computing entities for determining/identifying confidence ratings/indicators for delivery of items. In one embodiment, this comprises determining a number of location events that occurred within a zone of confidence for delivery an item to a serviceable address; and responsive to determining the number of location events that occurred within the zone of confidence for delivery the item to the serviceable address, determining, via one or more processors, a confidence rating for delivery of the item to the serviceable address based at least in part on the number of location events that occurred within the zone of confidence.