Unique Research · Insight / Unique Friend Q&A · September 9, 2024 · Guest: Zhang Wenhao, Founder & CEO, Dudao Technology (独到科技) · Talk: “How AI Agents Lift Consumer Interaction & Conversion” at GITA AI+ 1st AI-Empowered Marketing Ops Forum, Sep 26 (Thu)
AIGC is becoming a growth engine in marketing. AI agents — personalized recommendations, automated campaigns, higher engagement — sharpen purchase decisions and give brands a competitive edge on precision and speed. Zhang’s talk digs into AI digital employees for growth and where the trend goes next.
Product
Core: industry-model-based AI digital employees. Thesis: the field has moved from foundation-model capability into the deep water of real industry enablement — general chat is fine; specific industries and scenes still under-serve. Dudao builds digital humans on industry playbooks + rules on top of LLMs, matching what enterprises actually need.
Analogy: the LLM is the phone OS; industries need their own apps. Examples: smart tour companion — pre / in / post-trip help like a local who solves problems in real time; super salesperson — not only passive Q&A but semantic inference that flips passive→active product/promo pitching. Stack = foundation knowledge + enterprise user analytics + proprietary content → highly personified AI staff. Slogan shift: from “MAKE WORK AI” to “MAKE AI WORK” — real cost and efficiency value for customers and their customers.
Marketing essence & four consumer traits
Marketing is delivery with the user — strategy, execution, and interaction together. AI’s gift is better experience; the endgame is user satisfaction and higher-ROI paths.
Four demand traits across industries: (1) Anytime — requests at any hour; empty human seats kill UX. (2) Instant — users want answers now; delay kills UX. (3) Help-seeking — many lack a good solution themselves; unprofessional guidance kills UX. (4) Broad — needs span industries/knowledge systems; thin knowledge kills UX.
AI trained on industry depth can become an expert faster and invent scenes humans can’t scale — e.g. AI guide + AI travel photography that composites solo shots in crowded spots and builds journals; AI super-sales that stay online 24/7 and take conversation lead when semantics say so.
Humans, VR, and the marketer’s job
AI does not replace people; it takes repetitive necessary work and frees creativity. Marketers should return to experience that exceeds expectation, rebuild scenes, and pick steps AI can do as well or better — train AI into a service expert and use AI-only tricks (auto photos/journals) so consumers treat AI as friend and servant with precise personalization.
Watch: VR/AR — short, high-stimulus products (VR home tours, try-on, VR scenic spots like Dunhuang) intersecting AI; and precise audience content production/output by product positioning.
Note (from CN close): limited free tickets for the AI-marketing forum via comment interest.
— END —