Amazon will increase fulfillment fees for sellers starting next year.
Fulfillment fees rise by $0.08 per unit
Implementation begins in early 2026
Sellers have 90 days notice
Fees remain below inflation rates
New tools available for profit analysis
AI challenges impact eCommerce market
Amazon will raise its U.S. Referral and Fulfillment by Amazon (FBA) fees effective January 15, 2026. The adjustment marks the first change after a full year of fee stability in 2025.
The average increase is $0.08 per unit, or under 0.5% of a typical product’s selling price. Sellers receive at least 90 days’ notice before implementation.[1]
Key Fee Changes
Fee Type
Product Size
Price Range
Average Increase per Unit
Referral Fee
All sizes
All
$0.08
FBA Standard-Size Small
10–50 USD
10–50 USD
$0.08
FBA Standard-Size Large
10–50 USD
10–50 USD
$0.05
Source: Amazon seller announcement.[2][3][1]
No new FBA fee categories will be added for 2026, and there were no fee increases in calendar year 2025.[4][1]
Comparison with Market Rates and Inflation
Dharmesh Mehta, vice president of worldwide selling partner services at Amazon, highlighted that these changes remain below industry and inflation metrics:[1]
U.S. inflation for 2025 ranged from 2.4% to 2.9% through August.[5][6][7]
UPS and FedEx each raised rates by 5.9% in 2025.[8][9][10]
USPS rate increases for 2025 varied between 3.2% and 9.2% depending on service type.[11]
Carrier
2025 Rate Increase
UPS
5.9%
FedEx
5.9%
USPS
3.2–9.2%
Service Enhancements and Seller Tools
Amazon cites improvements in forecasting, inventory placement, automation, and returns processing as justification for targeted fee adjustments. Sellers are encouraged to use:[1]
FBA Revenue Calculator for cost and margin estimates.[12][13]
Fee and Economics Preview report for individual listing impact projections.[1]
Profit Analytics dashboard for detailed unit-level economics and fee impact analysis.[2][1]
Industry Context: AI in E-Commerce
AI continues to reshape consumer shopping behavior and operational risk:
During the 2024 holiday season, AI-influenced purchases totaled $229 billion globally, contributing to $1.2 trillion in online sales worldwide and $282 billion in the U.S..[14][15][16]
ChatGPT handles approximately 50 million shopping queries daily, about 2% of its 2.5 billion daily prompts.[17][18][19]
Single-step AI purchasing models heighten fraud and chargeback risks, prompting merchants to adopt enhanced verification tools.[20][21][22]
Sellers should review the detailed fee tables and leverage Amazon’s analysis tools before January 15, 2026, to adjust pricing, inventory, and marketing strategies in light of these modest but targeted fee increases.
Alex Chen is a senior technology journalist with a decade of experience exploring the ever-evolving world of emerging technologies, cloud computing, hardware engineering, and AI-powered tools.
A graduate of Stanford University with a B.S. in Computer Engineering (2014), Alex blends his strong technical background with a journalist’s curiosity to provide insightful coverage of global innovations.
He has contributed to leading international outlets such as TechRadar, Tom’s Hardware, and The Verge, where his in-depth analyses and hardware reviews earned a reputation for precision and reliability.
Currently based in Paris, France, Alex focuses on bridging the gap between cutting-edge research and real-world applications — from AI-driven productivity tools to next-generation gaming and cloud infrastructure. His work consistently highlights how technology reshapes industries, creativity, and the human experience.
PYMNTS.com is a leading business-to-business (B2B) digital platform that provides news, data, and analysis on the payments and digital commerce industries. It serves executives and professionals in the financial services, retail, and fintech sectors.
Elena Voren is a senior journalist and Tech Section Editor with 8 years of experience focusing on AI ethics, social media impact, and consumer software. She is recognized for interviewing industry leaders and academic experts while clearly distinguishing opinion from evidence-based reporting.
She earned her B.A. in Cognitive Science from the University of California, Berkeley (2016), where she studied human-computer interaction, AI, and digital behavior.
Elena’s work emphasizes the societal implications of technology, ensuring readers understand both the practical and ethical dimensions of emerging tools. She leads the Tech Section at Faharas NET, supervising coverage on AI, consumer software, digital society, and privacy technologies, while maintaining rigorous editorial standards.
Based in Berlin, Germany, Elena provides insightful analyses on technology trends, ethical AI deployment, and the influence of social platforms on modern life.
