A leading e-commerce platform committed to delivering seamless, personalized shopping experiences. With a large and diverse product catalog, the client aimed to enhance customer engagement and optimize sales through intelligent product discovery.
The client sought to move beyond traditional recommendation systems and increase sales conversions by making every customer interaction more relevant. Core challenges included:
- Low engagement with generic product recommendations
- Missed cross-sell opportunities due to lack of personalization
- Limited visibility into product demand trends and inventory needs
Codvo.ai partnered with the client to design a scalable AI-powered personalization system, built on Salesforce Einstein AI. The solution delivered tailored recommendations and predictive insights across the customer journey.
Implemented Solutions:
AI-Driven Personalization Engine
- Behavioral-Based Recommendations: Analyzed browsing, clicks, and purchase history to serve dynamic product suggestions.
- Real-Time Personalization: Updated recommendations instantly as users interacted with the platform.
- Cross-Sell & Upsell Intelligence: Highlighted related or complementary products to boost basket value.
Automated Demand Forecasting
- Predictive Insights: Used AI to anticipate product demand based on user trends and seasonality.
- Inventory Planning: Helped streamline stock levels and reduce out-of-stock events through smarter forecasting.
Tech stack includes:
- Salesforce Einstein AI
- Machine Learning Algorithms
- Real-Time Recommendation Engine
- Customer Behavior Analytics
-30% Increase in Sales: AI-powered recommendations led to significant growth in conversions.
-Stronger Customer Engagement: Personalized journeys boosted interaction and time on site.
-Smarter Inventory Planning: Automated insights enabled better stocking and reduced supply chain inefficiencies.
