Integrating ai-based customer analytics into innovative retail marketing strategies

Ostonaqulova , Gulsaraxon

Innovation science and technologiy · 2026-yil

Annotatsiya

Intensified competition and rapidly changing market dynamics pose increasing challenges for retail enterprises.In the context of the digital economy, the adoption of artificial intelligence technologies significantly affects customerexperience and weakens the effectiveness of traditional marketing models. This study develops and empirically testsa data-driven, AI-enabled customer analytics model aimed at enhancing retail process efficiency and strengtheningcustomer engagement. The proposed model, equipped with segmentation modules and personalization algorithms, isevaluated using regression analysis based on survey data. The findings indicate that personalized marketing offersdemonstrate higher contextual relevance and are positively associated with customer satisfaction. Empirical resultsconfirm that AI-based marketing strategies outperform traditional approaches in terms of effectiveness. The studycontributes practical and measurable insights for fostering sustainable growth, improving competitiveness, and supportingmanagerial decision-making in the retail sector

Maqola ma’lumotlari
MualliflarOstonaqulova , Gulsaraxon
JurnalInnovation science and technologiy
NashriyotТошкент давлат иқтисодиёт университети
Nashr sanasi2026-01-01
Jild2
Son1
TilIngliz
Ilmiy sohaIqtisodiyot
DOI10.5281/zenodo.18208590
Indeksga qo‘shilgan2026-08-26

DOI: 10.5281/zenodo.18208590 · Maqolaning asl sahifasi

Kalit so‘zlar

AI-based retail analytics; customer personalization; algorithmic bias reduction; digital readiness; customer satisfaction; predictive modeling; managerial decision-making

Ilmiy soha

Iqtisodiyot

Iqtibos keltirish

APAOstonaqulova , Gulsaraxon (2026). INTEGRATING AI-BASED CUSTOMER ANALYTICS INTO INNOVATIVE RETAIL MARKETING STRATEGIES. Innovation science and technologiy, 2(1). https://doi.org/10.5281/zenodo.18208590
GOST (OAK)Ostonaqulova , Gulsaraxon INTEGRATING AI-BASED CUSTOMER ANALYTICS INTO INNOVATIVE RETAIL MARKETING STRATEGIES // Innovation science and technologiy. – 2026. – T. 2, № 1. – DOI: 10.5281/zenodo.18208590.
MLAOstonaqulova , Gulsaraxon. “INTEGRATING AI-BASED CUSTOMER ANALYTICS INTO INNOVATIVE RETAIL MARKETING STRATEGIES.” Innovation science and technologiy, 2(1), 2026. https://doi.org/10.5281/zenodo.18208590
ChicagoOstonaqulova , Gulsaraxon. “INTEGRATING AI-BASED CUSTOMER ANALYTICS INTO INNOVATIVE RETAIL MARKETING STRATEGIES.” Innovation science and technologiy, 2(1) (2026). https://doi.org/10.5281/zenodo.18208590
HarvardOstonaqulova , Gulsaraxon (2026) ‘INTEGRATING AI-BASED CUSTOMER ANALYTICS INTO INNOVATIVE RETAIL MARKETING STRATEGIES’, Innovation science and technologiy, 2(1). https://doi.org/10.5281/zenodo.18208590
BibTeX
@article{ostonaqulovagulsaraxon2026,
  title = {INTEGRATING AI-BASED CUSTOMER ANALYTICS INTO INNOVATIVE RETAIL MARKETING STRATEGIES},
  author = {Ostonaqulova , Gulsaraxon},
  journal = {Innovation science and technologiy},
  year = {2026},
  volume = {2},
  number = {1},
  doi = {10.5281/zenodo.18208590},
  url = {https://doi.org/10.5281/zenodo.18208590}
}

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