Quick Overview
A Brazilian supermarket chain tested an AI-driven system on transaction data to identify patterns in shopping baskets and customer behavior, enabling fault-tolerant, relevant upsell and cross-sell recommendations that increased basket size and sales.
Brazilian Supermarket Chain (unnamed)
Company Size
Large supermarket chain
Revenue Range
Not publicly disclosed
Primary Challenge
Improving upsell and cross-sell performance in retail grocery
Key Metrics
\- Improved upsell/cross-sell performance\- Fault-tolerant recommendations\- Increased basket size
The Problem
Traditional upsell strategies were less adaptive and less personalized
The Solution
AI models analyzed transaction and customer data to provide dynamic, relevant product recommendations
Results
\- Increased sales and basket size\- More resilient recommendation system\- Enhanced customer satisfaction
Details
Industry
Retail & E-commerce
Departments
Sales & Lead Generation
Marketing & Content
Use Cases
Upsell & Cross-sell
Tags
Predictive Modeling
Recommendation Engine
Enhanced Decision-Making
Analytics Dashboard
Sales Teams
AI Tools Used
No items found.
Sources
https://aithor.com/essay-examples/ai-driven-cross-selling-and-upselling-strategies-in-digital-sales
More Case Studies
See All
How Tubik Studio Streamlined Fashion Design with AI-Powered Tools
Marketing & Advertising
How Dun & Bradstreet Uses Google Gemini AI to Generate Personalized Email Announcements and Boost Sales Outreach
Professional Services & Consulting
How General Electric (GE) Uses AI to Enhance Employee Performance and Predictive Maintenance
Manufacturing
How Balenciaga Collaborated with AKQA and OpenAI’s DALL-E 2 to Accelerate Fashion Design
Retail & E-commerce
How Bloomfire Enhanced Knowledge Management and Employee Experience with AI
Technology & SaaS
How Decathlon Automated 65% of Customer Queries and Increased Online Conversions by 15% with AI Chat Assistant
Retail & E-commerce