LLM Message Transformation for Picker-Customer Communication
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Solution Overview
Problem
Existing online systems face challenges in efficient communication between users and pickers due to limited time for input, typographical errors, unclear voice-to-text translations, and language barriers, leading to communication gaps and delays in order fulfillment.
Innovation Solution
The online system employs a language transformation method using large language models (LLMs) to transform message inputs into contextually appropriate chat messages, addressing language differences and improving communication clarity by analyzing vast text data and personalizing responses based on user interactions and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual typing or voice-to-text translation is used for communication, then communication can be established between picker and user, but typographical errors and unclear translations occur leading to communication gaps
Solution Approach 1:
The patent introduces an online system as an intermediary between the picker and user. This intermediary receives message inputs from either party, transforms them through processing (including translation and formatting), and sends the transformed messages to the receiving party. This mediator resolves communication issues by ensuring messages are properly translated and formatted, eliminating typographical errors and unclear translations while maintaining communication accuracy.
2Reliability
If the picker takes time to input communicative information properly, then message accuracy improves, but the picker has limited time leading to delays in order fulfillment
Solution Approach 1:
The online system performs preliminary action by automatically transforming and preparing messages before they are sent. Instead of requiring the picker to manually type and proofread each message, the system pre-processes the communication, transforming the picker's input into properly formatted and translated messages. This eliminates the time the picker would otherwise spend on careful input while maintaining message accuracy, thus resolving the contradiction between reliability and productivity.
3Adaptability or versatility
If language translation is performed manually, then language barriers can be overcome, but communication time increases leading to delays
Solution Approach 1:
The patent replaces the mechanical system of manual translation with an automated online system that performs language transformation. The system automatically detects the language of the incoming message, translates it to the appropriate language, and formats it for the receiving party. This substitution of automated processing for manual translation overcomes language barriers while significantly reducing the time required for communication, resolving the contradiction between adaptability and time loss.
Data Source
AI summary
An online system performs a message transformation task in conjunction with the model serving system or the interface system to transform a message input to a chat message. The online system receives the message input in a conversation between a picker and a customer. The online system may transform the message input to a text string that is properly formed and contextually appropriate, format the text string into a chat message, and send the chat message to a receiving party on behalf of the sending party.