AI Articles and Analysis about E-commerce

Explore articles and reports related to artificial intelligence for eCommerce, including applications in fraud detection, eCommerce search, recommendation engines, and more.

01 – Confronting Unique Challenges in Retail and eCommerce Fraud@1x-min
Business intelligence and analytics
Consumer goods
Case management
Entertainment
Customer analytics
Finance
Customer analytics
Financial services
Customer service
Gaming
Cybersecurity
Retail
Data analysis
Data auditing
Data collection
Data integration
Data management
E-commerce
Fraud protection
Fraud protection
Generative AI
Identity theft
Insider threats
Large Language Models
Machine learning infrastructure
Market segmentation
Marketing and advertising
Predictive analytics and forecasting
Recommendations
Research and development
Security

Confronting Unique Challenges in Retail and eCommerce Fraud – with Leaders from Amazon, PayPal, FanDuel, and Riskified

This interview analysis is sponsored by Riskified and was written, edited and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.
AI at Cigna@2x-min
Business intelligence and analytics
Customer analytics
Customer experience
Customer service
Data analysis
Data collection
Data integration
Data management
E-commerce
Predictive analytics and forecasting
Recommendations

Artificial Intelligence at Cigna – Four Use Cases

Founded in 1982, Cigna is a healthcare and insurance company based in Bloomfield, Connecticut. Cigna is a Fortune 15 global company and employs over 70,000 individuals. Cigna offers health, life, and accident insurance. They also offer Medicare and Medicaid products.
Retail Fraud & Loss Prevention in Data, Brick-and-Mortar and Beyond – with Chris Nelson of Gap Inc.@2x-min
Customer analytics
Consumer goods
Data analysis
Retail
Data auditing
Data collection
Data management
E-commerce
Fraud protection
Fraud protection
Large language models

Retail Fraud & Loss Prevention in Data, Brick-and-Mortar and Beyond – with Chris Nelson of Gap Inc.

Retail fraud and loss prevention have always been significant business concerns impacting profitability and customer trust. However, with the emergence of AI technologies, there is a newfound potential to combat these challenges more effectively. 
Fighting Retail Fraud with Personalization and Classification AI Tools@2x-min (2)
Business intelligence and analytics
Consumer goods
Customer analytics
Professional services
Data analysis
Retail
Data collection
Retail
Data integration
Data management
E-commerce
Fraud protection
Knowledge management
Predictive analytics and forecasting
Recommendations
Search engine optimization

Fighting Retail Fraud with Personalization and Classification AI Tools – with Experts from Instacart, Etsy, and Gap Inc.

This article is sponsored by Riskified, and was written, edited and published in alignment with our transparent Emerj sponsored content guidelines.
002 – What Artificial Intelligence Means for Retail – with Asha Sharma of Instacart
Data collection
Data entry
Data integration
E-commerce
Fraud protection
Market segmentation

What Artificial Intelligence Means for Retail – with Asha Sharma of Instacart

The COVID-19 pandemic fundamentally changed how consumers shop, driving more consumers than ever to transact online with traditionally brick-and-mortar retailers. While these economic forces have affected all retail, perhaps none was more profoundly disrupted than the grocery sector.
Data Collection and Enhancement Strategies for AI Initiatives in Business
Data management
Consumer goods
E-commerce
Enterprise resource planning

Data Collection and Enhancement Strategies for AI Initiatives in Business

There’s more to successful AI adoption than picking the right technology. Business leaders should be aware of the technical requirements of the initiative they’re undertaking, and few of those requirements are as important as data.
AI at eBay 950×540
E-commerce
Consumer goods
Retail
Tech

Artificial Intelligence at eBay – Two Current Use-Cases

The company that would become eBay was founded as a sole proprietorship under the name AuctionWeb in September 1995 by Pierre Omidyar. The company changed its name to eBay in September 1997. The company reports selling just over $7 million in goods before being a California-registered corporation in May 1996.
AI at Alibaba 950×540
E-commerce
Consumer goods
Recommendations
Retail
Sales

Artificial Intelligence at Alibaba – Two Current Use-Cases

Per Alibaba’s annual report, its revenue in 2021 exceeded 717 billion yuan (approximately 109 billion U.S. dollars), while its active yearly customers reached nearly 1.3 billion people. As of March 2022, Alibaba trades on the NYSE and has an approximate market cap of $225 billion.

E-commerce

Explore articles and reports related to artificial intelligence for eCommerce, including applications in fraud detection, eCommerce search, recommendation engines, and more.