This article examines how optimizing product assortment strategically enhances the marketing performance of distributor companies. It highlights the shift from traditional, intuition-based selection to data-driven portfolio management supported by AI, POS data, and predictive analytics. The study outlines the impact of assortment relevance on profitability, retailer satisfaction, and market competitiveness, with specific implications for developing markets such as Uzbekistan. A phased implementation framework is proposed to guide distributors in adopting digitally enabled assortment strategies for sustainable commercial growth.
| Mualliflar | Jamoliddinov , Fakhriyor, Жамолиддинов , Фахриер, Жамолиддинов , Фахриер |
|---|---|
| Jurnal | Илғор иқтисодиёт ва педагогик технологиялар |
| Nashr sanasi | 2025-12-29 |
| Jild | 2 |
| Son | 6 |
| Betlar | 716-723 |
| Til | Ingliz |
| DOI | 10.60078/3060-4842-2025-vol2-iss6-pp716-723 |
DOI: 10.60078/3060-4842-2025-vol2-iss6-pp716-723 · Maqolaning asl sahifasi
assortment optimization, distributors, marketing performance, AI analytics, POS data, portfolio management, digital transformation, оптимизация ассортимента, дистрибьюторы, маркетинговая эффективность, аналитика на базе ИИ, данные POS, управление портфелем, цифровая трансформация, ассортиментни оптимизация қилиш, дистрибьюторлар, маркетинг самарадорлиги, сунъий интеллект таҳлили, POS маълумотлари, портфель бошқаруви, рақамли трансформация
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