---
title: "Event | May 31 · Shanghai — Foundation Models & GenAI for B2B: Future Outlook"
author: "Unique Research"
sourcePublication: "Unique Research (FFCAP English library)"
originalPublishedAt: "2024-05-11T11:30:00+08:00"
canonical: "https://ffcap.cn/en/research/20240511a03g0g00"
source: "https://ffcap.cn/en/research/20240511a03g0g00"
language: "en"
cnSourceUrl: "https://view.inews.qq.com/a/20240511A03G0G00"
---

# Event | May 31 · Shanghai — Foundation Models & GenAI for B2B: Future Outlook

_Unique Research · Insight / Event · May 11, 2024_

Unique Capital × Unique Research, with **Chuansheng Tech** and **GITA**, host a focused session on how foundation models and GenAI remake B2B product design, production, supply chain, marketing, and customer service — framed as a core path for industrial upgrade.

Format: cases, demos, discussion — manufacturing scenarios, ops-model change, peer networking.

## Speakers & topics

-   **Cheng Junjie**, Founder & CEO, Chuansheng Tech — “Theory Framework First: How AI Empowers B2B Marketing.” Youjie AI product director; 20+ years B2B marketing consulting; Fortune 500 + startups.
-   **Lu Yue**, VP, Yida Tech — “LLM- & AI-Driven Digital Employee Platforms — Port & Logistics Digitization.” SJTU Antai EMBA supply-chain chair; ex-Maersk Logistics / Kerry EAS; near-30 years SCM. Yida serves thousands of customers with next-gen digital employees + LLM hyper-automation platform.
-   **Liu Yuchen**, Founder & CEO, Yiyan Tech — “AI Innovation in B2B: Agent Landing & Outlook.” Ex-U.S. data-tech pre-sales/PM (Forrester case); Tencent Cloud industry AI SaaS lead; L’Oréal PPD China CDO.

## Agenda

-   14:00–14:30 Check-in
-   14:30–15:10 Cheng — B2B marketing theory framework
-   15:10–15:55 Lu — digital employees / port-logistics
-   15:55–16:35 Liu — AI Agents in B2B
-   16:35–16:45 Break
-   16:45–17:30 Roundtable

_Registration: address after successful signup (CN channel). Inventory type kept **insight**._

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Editorial English edition published on UniqueCapital: https://ffcap.cn/en/research/20240511a03g0g00
On-site reading page: https://ffcap.cn/en/research/20240511a03g0g00