Quick Overview
General e-commerce retailers use AI to recommend products at checkout based on browsing history, purchase behavior, and preferences. AI-driven personalized suggestions increase average order value (AOV), conversion rates, and repeat purchase intent.
Various global e-commerce retailers
Company Size
Varies widely
Revenue Range
Varies widely
Primary Challenge
Increasing AOV and conversion through personalized upselling and cross-selling
Key Metrics
\- 15–20% increase in average order value\- 15% higher conversion rates\- 80%+ repeat purchase intent
The Problem
Generic product recommendations lacked personalization and relevance, limiting sales potential
The Solution
AI-powered recommendation engines analyze user behavior and preferences to deliver tailored product suggestions during checkout
Results
\- Increased sales and customer loyalty\- Improved shopping experience\- Higher repeat purchase rates
Details
Industry
Retail & E-commerce
Departments
Sales & Lead Generation
Marketing & Content
Use Cases
Upsell & Cross-sell
Tags
Recommendation Engine
GenAI
NLP
Time-Saving
Cost Reduction
Client Satisfaction
SaaS
AI Tools Used
No items found.
Sources
https://dialzara.com/blog/ai-powered-upselling-and-cross-selling-2024-guide/https://www.creatio.com/glossary/ai-for-cross-selling-and-upselling
More Case Studies
See All
How Jones Day Uses RelativityOne AI to Automate Document Review and Reduce Costs
Legal
How Influencer Marketing Factory Automated Outreach and Boosted Brand Awareness with Reply.io
Professional Services & Consulting
How Tommy Hilfiger Uses AI and Metaverse Fashion Week to Innovate Digital Fashion and Engage New Audiences
Retail & E-commerce
How Google Uses AI and Machine Learning to Enhance Its OKR System for Dynamic Goal Setting and Performance Tracking
Technology & SaaS
How Philippine Manufacturing Company Transformed Contract Management with Lexagle’s AI-Powered Platform
Manufacturing
How eye-oo Boosted Sales by 25% and Increased Conversion 5x with Tidio and Lyro AI
Retail & E-commerce