Automated Checkout Event Detection for Multi-Recipient Delivery
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Solution Overview
Problem
Traditional e-commerce systems face challenges in efficiently coordinating order delivery and meeting schedules for multiple recipients, leading to repetitive user experiences and inefficiencies in purchasing and delivering goods.
Innovation Solution
A computer-implemented method and system that uses AI to identify multiple-recipient orders as event-driven, recommending synchronized delivery and meeting scheduling options during checkout, leveraging data collection from various sources and machine learning algorithms to provide coordinated recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional e-commerce shopping carts and checkout applications are used for multiple recipients, then the system can process orders, but users must repeatedly perform similar shopping experiences and activities outside the e-commerce application
Solution Approach 1:
The patent combines multiple previously separate functions into a unified e-commerce checkout system. Specifically, it merges event detection, coordinated delivery scheduling, and meeting scheduling into a single automated workflow that executes during the checkout process, eliminating the need for separate external applications and repeated manual activities.
Solution Approach 2:
The system performs preliminary actions by detecting event context during checkout and pre-calculating coordinated delivery options and meeting scheduling recommendations before the user completes the purchase. This advance preparation automates what would otherwise require post-purchase manual coordination among multiple recipients.
2Productivity
If coordinated delivery and meeting scheduling are implemented for multiple recipients, then delivery coordination efficiency is improved, but the system complexity increases
Solution Approach 1:
The patent implements a universal checkout system that handles multiple functions: standard e-commerce transactions, event detection, coordinated delivery scheduling, and meeting scheduling. This multi-functional approach consolidates what would otherwise require separate specialized systems into a single unified platform.
Solution Approach 2:
The system employs self-service mechanisms by automatically detecting event context from order data, generating coordinated delivery recommendations, and proposing meeting schedules without requiring manual user input. The system autonomously processes the complex coordination tasks using the provided recipient information and event context.
3Adaptability or versatility
If event-driven order identification is implemented, then the system can provide personalized recommendations, but the difficulty of detecting and measuring event context increases
Solution Approach 1:
The system uses feedback mechanisms by analyzing order data patterns to detect event context. It examines recipient information, delivery addresses, and order characteristics to infer event-driven scenarios, then uses this detected context to generate personalized coordinated delivery and meeting scheduling recommendations tailored to the specific event type.
Data Source
AI summary
Automated delivery coordination and meeting scheduling for an order including a plurality of recipients includes identifying, by a computer, an online business transaction performed by a user. The online business transaction including the order being placed by the user for the plurality of recipients. The computer determines whether the order is associated with an event that includes the plurality of recipients and, in response to the order being associated with the event, collects information corresponding to the event. The computer uses the collected information to generate a first recommendation during checkout including a synchronized delivery option for the plurality of recipients. Further, using the collected information, the computer generates a second recommendation during the checkout including a synchronized meeting scheduling option for the plurality of recipients.