Electronic Apparatus for Predicting Item Arrival Times
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Solution Overview
Problem
Fulfillment centers face challenges in accurately determining scheduled arrival times of items, leading to inefficient manpower allocation and inventory management due to unpredictable delivery schedules and frequent delays.
Innovation Solution
An electronic apparatus that acquires first information from users, utilizes a pre-trained item arrival time calculation model to determine scheduled arrival times based on delivery type, and provides this information to target fulfillment centers, along with item identification information for accurate reception processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If scheduled arrival time information is not accurately determined, then fulfillment centers cannot efficiently allocate manpower or manage inventory, but implementing accurate tracking increases system complexity
Solution Approach 1:
The system performs preliminary actions by acquiring and processing delivery information in advance of item arrival. The electronic apparatus receives supply information from users, determines delivery types, calculates scheduled arrival times using trained models, and transmits this information to fulfillment centers before items actually arrive, enabling proactive manpower and inventory planning
Solution Approach 2:
The electronic apparatus serves as an intermediary between users/vendors and fulfillment centers. It collects delivery information from users, processes this information through delivery type determination and arrival time calculation, then transmits the processed scheduled arrival time information to fulfillment centers, simplifying the overall system by centralizing the tracking function
2Measurement precision
If items are delivered without accurate scheduled arrival time information, then reception processing becomes inefficient and inventory identification is inaccurate, but implementing precise tracking and calculation systems increases operational complexity
Solution Approach 1:
The system trains item arrival time calculation models in advance using historical delivery data. These pre-trained models are then applied to new delivery information to predict scheduled arrival times before items arrive at fulfillment centers, enabling accurate planning without complex real-time tracking
Solution Approach 2:
The system determines delivery types based on feedback from user-provided supply information. By analyzing the delivery type (e.g., same-day delivery, standard delivery, expedited delivery), the system selects appropriate calculation methods and adjusts arrival time predictions accordingly, improving accuracy through adaptive processing
3Adaptability or versatility
If multiple delivery types are supported with different calculation methods, then the system can accommodate diverse supply scenarios, but the processing complexity increases
Solution Approach 1:
The system segments the delivery process into distinct delivery types (e.g., same-day delivery, standard delivery, expedited delivery). Each delivery type has its own calculation method and processing flow, allowing the system to handle diverse supply scenarios by dividing the complex problem into manageable, type-specific segments
Data Source
AI summary
Disclosed is an information processing method in an electronic apparatus, which includes acquiring, from a user, first information related to supply including information on a target fulfillment center and information on an item, confirming a delivery type of the supply, acquiring scheduled arrival time information of the item according to the supply according to a method corresponding to the confirmed delivery type of the supply, and providing second information including the information on the item and the scheduled arrival time information to the target fulfillment center, in which the acquiring of the scheduled arrival time information includes acquiring an item arrival time calculation model that is pre-trained, and determining the scheduled arrival time information based on the item arrival time calculation model.