@inproceedings{16474290f01e48e4ac49f2c82168be80,
title = "Applied Optical Character Recognition and Large Language Models in Augmenting Manual Business Processes for Data Analytics in Traditional Small Businesses with Minimal Digital Adoption",
keywords = "AI, artificial intelligence, data engineering, food stalls, large language models, local enterprises, Optical character recognition, prompt engineering, Python, sales analytics, staff augmentation",
author = "Alabastro, {Zachary Matthew} and Ilagan, {Joseph Benjamin} and To, {Lois Abigail} and Ilagan, {Jose Ramon}",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 6th International Conference on Artificial Intelligence in HCI, AI-HCI 2025, held as part of the 27th HCI International Conference, HCII 2025 ; Conference date: 22-06-2025 Through 27-06-2025",
year = "2025",
doi = "10.1007/978-3-031-93429-2_18",
language = "English",
isbn = "9783031934285",
series = "Lecture Notes in Computer Science",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "267--276",
editor = "Helmut Degen and Stavroula Ntoa",
booktitle = "Artificial Intelligence in HCI - 6th International Conference, AI-HCI 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Proceedings",
}