Human-AI Collaboration in Food Delivery
DOI:
https://doi.org/10.32628/CSEIT25111208Keywords:
Artificial Intelligence Integration, Food Delivery Platforms, Machine Learning Infrastructure, Voice Recognition Systems, Human-AI CollaborationAbstract
This article examines the implementation of artificial intelligence systems in food delivery platforms, focusing on online food ordering company's comprehensive integration of AI technologies across its operational framework. The article analyzes four key areas: communication safety through SafeChat+, voice ordering systems, advanced data engineering applications, and technical challenges with their solutions. The article demonstrates how AI integration has transformed food delivery operations through enhanced customer experience, improved operational efficiency, and sophisticated safety measures. The findings highlight the successful implementation of hybrid human-AI systems, showcasing significant improvements in order processing, delivery optimization, and customer service while addressing critical scaling, performance, and security challenges.
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References
Grand View Research, "Online Food Delivery Market Size, Share & Trends Analysis Report By Type (Platform to Consumer, Restaurant to Consumer), By Region (North America, Europe), And Segment Forecasts, 2023 - 2030." [Online]. Available: https://www.grandviewresearch.com/industry-analysis/online-food-delivery-market-report
Yashodhan Deshmukh et al., "AI Driven Strategies in Food Delivery," International Journal of Innovative Research in Technology, Volume 10, Issue 6, November 2023. [Online]. Available: https://ijirt.org/publishedpaper/IJIRT161906_PAPER.pdf
Dr. Ajay A. Jaiswal et al., "NLP Chatbots For Food Ordering System,"International Research Journal of Modernization in Engineering Technology and Science, Volume:06/Issue:05/May-2024. [Online]. Available: https://www.irjmets.com/uploadedfiles/paper//issue_5_may_2024/56580/final/fin_irjmets1715943626.pdf
Tarleton Gillespie, "Content moderation, AI, and the question of scale," ReasearchGate, July 2020. [Online]. Available: https://www.researchgate.net/publication/343798653_Content_moderation_AI_and_the_question_of_scale
NewO.ai, "Voice AI Food Ordering Systems for Restaurants," 2024. [Online]. Available: https://newo.ai/insights/voice-ai-food-ordering-systems-for-restaurants/
Dasha.ai, "Voice AI in the Food Industry: Enhancing Ordering Systems and Sales," April 17, 2024. [Online]. Available: https://dasha.ai/en-us/blog/voice-ai-in-the-food-industry-enhancing-ordering-systems-and-sales
Ayush Chauhan, "This is how DoorDash uses Machine Learning & Optimization Models for delighting their customers," TechAhead, Oct 17, 2022. [Online]. Available: https://www.techaheadcorp.com/blog/this-is-how-doordash-uses-machine-learning-optimization-models-for-delighting-their-customers/
Chairote Yaiprasert, Achmad Nizar Hidayanto, "AI-driven ensemble three machine learning to enhance digital marketing strategies in the food delivery business," Intelligent Systems with Applications, Volume 18, May 2023, 200235. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S2667305323000601
Anita Raj, "AI in the Food Industry: Case Studies, Challenges & Future Trends," Throughput, March 2024. [Online]. Available: https://throughput.world/blog/ai-in-the-food-industry/
Srishti Rawat et al., "A Case Study on the Development of an AI-Enabled Food Delivery System From Home to Home: Annapurna App," Revolutionizing Business Practices Through Artificial Intelligence and Data-Rich Environments, IGI Global, 2022. [Online]. Available: https://www.igi-global.com/gateway/chapter/311184
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