2026 / Journal article
Using artificial intelligence to forecast demand for new products in e-commerce
Е.В. МИЩЕНКО, М. ЧЕРКАС, А.Ш. АЙДАРОВА, Л.К. ИЮПОВА, Д.В. АЛЕКСЕЕВ
Read at the original sourceBusiness application · Eugene Mischenko
What data can guide a new product’s launch assortment?
Document comparable products, category seasonality, price position and the stock available for the test. Review forecasts against actual availability: a stockout hides demand, while promotion changes the buying conditions. Decide which replenishment or assortment action follows each forecast review.
What to measure: Forecast error by product group, stockouts, unsold stock and realised contribution.
Bibliographic reference
Е.В. МИЩЕНКО, М. ЧЕРКАС, А.Ш. АЙДАРОВА, Л.К. ИЮПОВА, Д.В. АЛЕКСЕЕВ. ПРИМЕНЕНИЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА ДЛЯ МАРКЕТИНГОВОГО ПРОГНОЗИРОВАНИЯ СПРОСА НА НОВЫЕ ТОВАРЫ В ЭЛЕКТРОННОЙ КОММЕРЦИИ. Экономика и предпринимательство. 2026. 802-808. https://doi.org/10.34925/eip.2026.187.2.138