AI-Driven Bot Filtering for Commerce Platforms

A Fortune 500 retailer managing a gift card program with a stored value exceeding $5 billion faced sustained credential stuffing attacks in which fraudulent login attempts exceeded one million per day and constituted more than 90% of traffic to the login endpoint, as documented in an F5 case study. Traditional defenses including web application firewalls and fraud analytics failed to prevent the automated attacks. After deploying an AI-driven bot defense solution, the retailer completely eliminated account hijackings and saved tens of millions of dollars in fraudulent transactions and chargeback fees. The deployment also reduced customer support call volume related to account lockouts and restored trust in the gift card program.

A large ecommerce platform in Indonesia specializing in apparel, beauty, and footwear products experienced coordinated bot attacks that scraped proprietary product listings and pricing data, executed credential stuffing against customer accounts, and manipulated shopping carts to deny inventory to legitimate buyers, according to a 2024 Indusface case study. After implementing an AI-powered web application and API protection solution, the platform achieved the following results:

• Blocked fake registration forms, protecting customers from fraud
• Prevented systematic scraping to preserve competitive pricing advantages
• Decreased cart abandonment rates and increased product availability for genuine shoppers
• Reduced infrastructure costs through elimination of bot-generated server load

These cases illustrate a broader industry pattern. According to Imperva's 2025 research, retail sites collectively experienced 569,884 AI-driven attacks every single day between April and September 2024, underscoring the continuous nature of the threat. Account takeover attacks soared 250% in 2024, and LexisNexis data cited in 2025 showed that while global ecommerce transactions increased 17% year over year, bot attacks jumped 195% over the same period.