¶ Description of the Smart Proposals Assistant
Smart Proposals is an intelligent assistant that is part of the global AIA system. Its primary purpose is to collect and analyze customer behavior on an e-commerce platform to generate personalized product recommendations.
The assistant automatically generates relevant product suggestions based on configured parameters and collected data. In the future, machine learning algorithms will be introduced to perform deeper analysis of customer behavioral patterns.
¶ Core Features
Customer Data Collection:
- Tracks customer actions on the platform, such as page views, product clicks, adding items to the cart, completed purchases, etc.
Data Analysis:
- Uses predefined rules and logic to create a list of products that best match the customer’s interests.
- Future development: Implementing machine learning algorithms for advanced behavioral analysis.
Recommendation Generation:
- Provides personalized product suggestions in real-time based on previously collected data.
¶ Example Workflow
Customer visits a product page.
- The assistant tracks the customer’s interactions with the platform.
Customer behavior analysis.
- Collected data about customer actions is processed using predefined rules.
Display of personalized recommendations.
- The customer sees dynamic product suggestions tailored to their interests.
¶ Future Expansion Opportunities
- Machine Learning Algorithms (planned functionality):
Future developments will include machine learning to perform advanced behavioral analysis, such as:- Predicting the likelihood of product purchases.
- Classifying customers into interest-based groups.
- Identifying hidden relationships between products.
¶ Implementation Outcomes
- Increased conversion rates through personalized recommendations.
- Enhanced customer experience by tailoring suggestions to individual interests.
- Improved revenue by optimizing the effectiveness of product offerings.
Demo: https://aia-demo.gomage.com/
Site: https://ai.gomage.com/
Video: https://www.youtube.com/watch?v=aLXBV1yIc8s