Using Real-Time Feedback to Personalize the Shopping Experience in a New Way

Tools like this also greatly benefit a retailer’s customers as they can receive more refined recommendations while shopping, especially regarding products they may already own. With Own It/Love It/Hate It, recommendations based on products can now also be entered into equation. For example, shaver heads may be removed from the recommendation scenario if a person indicates he already owns a particular model. However, a women’s apparel retailer might want to refine the tool so that if a women indicates she owns a particular shoe, that shoe is recommended to her in different colors during her shopping experience (research indicates women often buy the same shoe in different colors).