An effective AI infused demand forecasting application for automotive spare parts industry: a real case from Turkey

Albayrak Ünal, Özge; Erkayman, Burak; Usanmaz, Bilal

doi:10.1038/s41598-026-44461-0

Makale Tam Makale Uluslararası 2026

An effective AI infused demand forecasting application for automotive spare parts industry: a real case from Turkey

Özge Albayrak Ünal, Burak Erkayman, Bilal Usanmaz

SCIENTIFIC REPORTS Cilt 16 · Sayı 1 · ss. 1–20 · 02.04.2026

DOI ile aç

Anahtar kelimeler

deep learning machine learning π-stacking Demand Forecasting ensemble learning Spare parts

Atıf için künye

Albayrak Ünal, Ö., Erkayman, B., & Usanmaz, B. (2026). An effective AI infused demand forecasting application for automotive spare parts industry: a real case from Turkey. SCIENTIFIC REPORTS, 16(1), 1–20. https://doi.org/10.1038/s41598-026-44461-0

BibTeX

@article{albayrakunal2026-182045,
  author = {Albayrak Ünal, Özge and Erkayman, Burak and Usanmaz, Bilal},
  title = {An effective AI infused demand forecasting application for automotive spare parts industry: a real case from Turkey},
  journal = {SCIENTIFIC REPORTS},
  year = {2026},
  volume = {16},
  number = {1},
  pages = {1--20},
  issn = {2045-2322},
  doi = {10.1038/s41598-026-44461-0},
  url = {https://akademik.atauni.edu.tr/yayinlar/182045-an-effective-ai-infused-demand-forecasting-application-for-automotive-spare}
}