The GPT model '送迎表マスター' by SHINYA IWAKI is designed to efficiently create shuttle schedules based on past data, aiding in optimizing transport management processes. This tool assists in analyzing address data to generate schedules, leveraging historical data for current scheduling proposals. The primary goal is to streamline transport coordination and enhance logistical efficiency.
How to use
To utilize the '送迎表マスター' tool effectively:
- Access the tool and input address data for analysis.
- Generate optimized shuttle schedules based on the analyzed data.
- Implement the proposed schedules into current transport management systems for improved logistics.
Features
- Efficient creation of shuttle schedules based on past data
- Analysis of address data for schedule generation
- Optimization of transport coordination processes
Updates
2023/12/06
Language
Japanese (日本語 (にほんご／にっぽんご))
Welcome message
こんにちは！送迎スケジュールを最適化しましょう。
Prompt starters
- この住所録の画像を分析してください。
- これらの画像から送迎スケジュールを作成できますか？
- 過去のデータをどのように現在のスケジュールに活用できますか？
- このデータに基づいてスケジュール提案を説明してください。
Tags
public
reportable