Alibaba.com Introduces 'AI Mode' to Power B2B Trade with Agentic AI
At its CoCreate Europe event in London, Alibaba Group’s B2B platform Alibaba.com announced in a press release the launch of 'AI Mode', a new feature embedding agentic AI capabilities directly into the user experience. The company reported a 57% year-on-year surge in European orders and a 50% increase in active global suppliers.
AI Mode, set to roll out in December, will interpret natural language queries, analyze technical specifications, and automatically compare suppliers by price, logistics, certifications, and production capacity. It connects with Alibaba.com’s existing services, including secure payment, Trade Assurance, and after-sales support, to enable a fully automated trade process.
The feature is powered by Accio, Alibaba.com’s AI-driven B2B search engine launched in 2024. Accio uses multimodal understanding to process inputs such as sketches, blueprints, and certificates, helping businesses discover specialized suppliers often overlooked by keyword-based searches.
According to company research, 90% of European SMEs now prioritize product innovation, and 62% express confidence in using AI tools for sourcing and design. AI Mode is designed to support these businesses in navigating compliance, identifying sustainable partners, and accelerating product development.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Daily AI Brief or Sales & Marketing AI Weekly.
Also, consider following us on social media:
Sales & Marketing AI Weekly
News about AI tools and innovations for Sales and Marketing professionals.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Automation Anywhere Releases Agentic Procure-to-Pay Tool
AutonomyAI Launches Discover Mode for Product Delivery
Acosta Group survey finds 34% of shoppers use AI while shopping
Clearco Survey Finds Nearly 80% of Ecommerce Leaders Use AI
Thread AI Finds 5% of Enterprise AI Buyers Commit to Ship Dates
Daily AI Brief: the AI news that matters, in your inbox.