Authors:
Prachi Chaudhari, Edna Novido
Abstract:
This disclosure proposes an advanced shopping cart system that automatically adapts to the user’s actions and preferences in real time, helping users focus on the items that matter most and reducing the mental load involved in decision-making.
Background:
Online shopping has seen explosive growth in recent years, leading to increased competition among retailers to provide a seamless and enjoyable user experience. One of the key challenges retailers face is cart abandonment, where users add products to their carts but fail to complete the purchase. Many shoppers become overwhelmed by too many choices, decision fatigue, or distractions, which leads them to abandon items in their cart or leave the site entirely.
Current cart systems are static and do not account for real-time user behavior, such as time spent on individual items, frequency of interaction, or a user’s purchasing intent. As a result, customers may find it difficult to focus on the most relevant products, leading to a less efficient shopping experience.
Description:
The idea is a dynamic cart reorganization system that automatically adjusts the contents and order of items in a shopping cart based on user engagement data. Using the user behavior data, the system’s AI-powered engine analyzes the shopper’s intent. Based on factors like time spent on products, frequency of clicks, and purchase history, the system determines the relative priority of each item in the cart.
1. A dynamic cart reorganization system for an e-commerce platform comprising:
•A behavioral data collection module that tracks user interactions with items in a cart, including time spent, clicks, and item removals.
•A cart prioritization engine that analyzes user behavior and reorganizes the cart to prioritize items based on the user's engagement level.
•A wish list integration module that moves less-engaged items to a wish list for future consideration without cluttering the main cart.
2. The system of claim 1, wherein the cart prioritization engine dynamically reorders items in real-time, ensuring that the most relevant items are placed at the top of the cart.
3. The system of claim 1, wherein the cart prioritization engine moves items with low user engagement to a wish list and keeps them easily accessible for future purchase.
4. The system of claim 1, wherein the behavioral data collection module tracks click patterns, time spent on each item, and item removal behaviors to determine user intent.
5. A method for dynamically reorganizing an e-commerce cart, comprising the steps of:
• Collecting user interaction data in real time.
• Analyzing the collected data to assess user interest and behavior.
• Reorganizing the cart to prioritize items that show high user engagement.
• Moving less-engaged items to a wish list or a secondary section of the cart.
6. The method of claim 5, further comprising the step of suggesting related products based on the user’s ongoing interactions with the cart.
If a user adds a jacket, shoes, and sunglasses to their cart but spends more time examining the shoes (viewing multiple images and reading reviews), the system will prioritize the shoes at the top of the cart.
If the user seems uninterested in the sunglasses (perhaps they’ve added and removed them multiple times), the system can move the sunglasses to the wish list, allowing the shopper to focus on the items they are more likely to purchase.
Usages:
• Reduces decision fatigue by prioritizing relevant items based on user behavior.
• Improves shopping experience with personalized, real-time cart organization.
• Increases conversion rates by focusing users on the most likely purchase items.
• Encourages thoughtful purchasing by moving less-engaged items to the wish list.
• Enhances user engagement through a tailored shopping cart experience.
• Creates cross-sell and up-sell opportunities by suggesting related products.
• Improves UX by adapting the cart interface in real-time for better usability.
• Offers personalization at scale for individual shoppers without manual effort.
• Reduces cart abandonment by streamlining the checkout process.
• Boosts customer satisfaction by providing a seamless, intuitive experience.
TGCS Reference 00503
