Innovation science and technologiy 2-jild 4-son (2026)
ARTIFICIAL INTELLIGENCE INTEGRATION IN RETAIL: IMPACT ON ASSORTMENT MANAGEMENT AND DYNAMIC PRICING
Achilova, Shirin, Fayzullayeva, Diyora
Annotatsiya
In today’s rapidly evolving retail environment, pricing strategies have become more complex and requireinnovative approaches to maintain competitiveness.The emergence of Artificial Intelligence (AI) has created new opportunities to improve pricing practices. AI enablesretailers to analyze large volumes of data, identify patterns, and make more accurate and timely pricing decisions. Byusing data-driven insights, retailers can dynamically adjust prices according to market conditions, customer preferences,and competitor actions.As a result, AI-based pricing strategies enhance operational efficiency, improve responsiveness to market changes,and increase overall profitability. This technological advancement represents a significant shift from traditional pricingmodels toward more intelligent and adaptive retail pricing systems
Artificial Intelligence, Retail Pricing, Dynamic Pricing, Revenue Optimization, Machine Learning
Metadata manbasi: jurnal OAI-PMH arxivi · Sindex toʻliq matnni saqlamaydi, manbaga havola beradi.