WarehouseGame Training: A Gamified Logistics Training Platform Integrating ChatGPT, DeepSeek, and Grok for Adaptive Learning
Modern warehouses play a fundamental role in today’s logistics, serving as strategic hubs for the reception, storage, and distribution of goods. However, training warehouse operators presents a significant challenge due to the complexity of logistics processes and the need for efficient and engaging...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/12/6392 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849433838888943616 |
|---|---|
| author | Juan José Romero Marras Luis De la Torre Dictino Chaos García |
| author_facet | Juan José Romero Marras Luis De la Torre Dictino Chaos García |
| author_sort | Juan José Romero Marras |
| collection | DOAJ |
| description | Modern warehouses play a fundamental role in today’s logistics, serving as strategic hubs for the reception, storage, and distribution of goods. However, training warehouse operators presents a significant challenge due to the complexity of logistics processes and the need for efficient and engaging learning methods. Training in logistics operations requires practical experience and the ability to adapt to real-world scenarios, which can result in high training costs. In this context, gamification and artificial intelligence emerge as innovative solutions to enhance training by increasing operator motivation, reducing learning time, and optimizing costs through personalized approaches. But is it possible to effectively apply these techniques to logistics training? This study introduces WarehouseGame Training, a gamified training tool developed in collaboration with Mecalux Software Solutions and implemented in Unity 3D. The solution integrates large language models (LLMs) such as ChatGPT, DeepSeek, and Grok to enhance adaptive learning. These models dynamically adjust challenge difficulty, provide contextual assistance, and evaluate user performance in logistics training scenarios. Through this gamified training tool, the performance of these AI models is analyzed and compared, assessing their ability to improve the learning experience and determine which one best adapts to this type of training. |
| format | Article |
| id | doaj-art-84b1dd87b88c460a81e8b0f87fe76b78 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-84b1dd87b88c460a81e8b0f87fe76b782025-08-20T03:26:53ZengMDPI AGApplied Sciences2076-34172025-06-011512639210.3390/app15126392WarehouseGame Training: A Gamified Logistics Training Platform Integrating ChatGPT, DeepSeek, and Grok for Adaptive LearningJuan José Romero Marras0Luis De la Torre1Dictino Chaos García2Departamento de Informática y Automática, ETSI Informatica, UNED, Juan del Rosal 16, 28015 Madrid, SpainDepartamento de Informática y Automática, ETSI Informatica, UNED, Juan del Rosal 16, 28015 Madrid, SpainDepartamento de Informática y Automática, ETSI Informatica, UNED, Juan del Rosal 16, 28015 Madrid, SpainModern warehouses play a fundamental role in today’s logistics, serving as strategic hubs for the reception, storage, and distribution of goods. However, training warehouse operators presents a significant challenge due to the complexity of logistics processes and the need for efficient and engaging learning methods. Training in logistics operations requires practical experience and the ability to adapt to real-world scenarios, which can result in high training costs. In this context, gamification and artificial intelligence emerge as innovative solutions to enhance training by increasing operator motivation, reducing learning time, and optimizing costs through personalized approaches. But is it possible to effectively apply these techniques to logistics training? This study introduces WarehouseGame Training, a gamified training tool developed in collaboration with Mecalux Software Solutions and implemented in Unity 3D. The solution integrates large language models (LLMs) such as ChatGPT, DeepSeek, and Grok to enhance adaptive learning. These models dynamically adjust challenge difficulty, provide contextual assistance, and evaluate user performance in logistics training scenarios. Through this gamified training tool, the performance of these AI models is analyzed and compared, assessing their ability to improve the learning experience and determine which one best adapts to this type of training.https://www.mdpi.com/2076-3417/15/12/6392gamificationlogistics traininglarge language modelsadaptive learningUnity 3DChatGPT |
| spellingShingle | Juan José Romero Marras Luis De la Torre Dictino Chaos García WarehouseGame Training: A Gamified Logistics Training Platform Integrating ChatGPT, DeepSeek, and Grok for Adaptive Learning Applied Sciences gamification logistics training large language models adaptive learning Unity 3D ChatGPT |
| title | WarehouseGame Training: A Gamified Logistics Training Platform Integrating ChatGPT, DeepSeek, and Grok for Adaptive Learning |
| title_full | WarehouseGame Training: A Gamified Logistics Training Platform Integrating ChatGPT, DeepSeek, and Grok for Adaptive Learning |
| title_fullStr | WarehouseGame Training: A Gamified Logistics Training Platform Integrating ChatGPT, DeepSeek, and Grok for Adaptive Learning |
| title_full_unstemmed | WarehouseGame Training: A Gamified Logistics Training Platform Integrating ChatGPT, DeepSeek, and Grok for Adaptive Learning |
| title_short | WarehouseGame Training: A Gamified Logistics Training Platform Integrating ChatGPT, DeepSeek, and Grok for Adaptive Learning |
| title_sort | warehousegame training a gamified logistics training platform integrating chatgpt deepseek and grok for adaptive learning |
| topic | gamification logistics training large language models adaptive learning Unity 3D ChatGPT |
| url | https://www.mdpi.com/2076-3417/15/12/6392 |
| work_keys_str_mv | AT juanjoseromeromarras warehousegametrainingagamifiedlogisticstrainingplatformintegratingchatgptdeepseekandgrokforadaptivelearning AT luisdelatorre warehousegametrainingagamifiedlogisticstrainingplatformintegratingchatgptdeepseekandgrokforadaptivelearning AT dictinochaosgarcia warehousegametrainingagamifiedlogisticstrainingplatformintegratingchatgptdeepseekandgrokforadaptivelearning |