AI Case Studies in Retail Industry | CERAiT Inc. [Video]

Case study examples showcasing the impact of AI on retail and e-commerce businesses:

Client: Mid-sized online fashion retailer.

Challenge:

Cleint faced declining customer engagement and stagnant sales. They struggled with high cart abandonment rates and a lack of personalized recommendations, leading to a poor customer experience.

Solution:

1. Customer Segmentation:

   • Developed AI-powered customer segmentation models to classify users based on browsing behavior, purchase history, and preferences.

2. Personalized Recommendation Engine:

   • Integrated a machine learning algorithm to provide personalized product suggestions for each customer.
   • Enhanced cross-selling and upselling by recommending complementary products.

3. Dynamic Retargeting Campaigns:

   • Deployed AI-driven retargeting ads for customers who abandoned their carts, showcasing the exact products they left behind.

Implementation Timeframe: 12 weeks

Results:

• 20% increase in sales within the first three months.
• 35% reduction in cart abandonment rates.
• Improved customer satisfaction, with a 4.8/5 average rating in post-purchase surveys.

Client: Online home goods store specializing in seasonal products.

Challenge:

Client faced frequent overstocking of slow-moving items …