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Unique Viewpoint | How Foundation Models & GenAI Empower Enterprise Marketing Growth

Unique Research · Interview / Roundtable · May 8, 2024

From Unique Capital’s Jan 24, 2024 Shanghai AIGC summit. Moderator: Qiu Ronghao, Partner, Albatross Capital (信天翁资本).

Panel

  • Sun Xuefeng — CEO, Xiaoshui Intelligent (小水智能)
  • Qin Ziyi — VP & CMO, Pukang Group (璞康)
  • Chen Minqi — VP, Shuchuan Group (数传)
  • Lu Chen — CTO & Chief Scientist, MarketEasy (市场易)

Products & models

Sun: (1) Mine existing enterprise clients — e.g. China Mobile intelligent voice CS + digital humans; (2) new AIGC apps (AI digital cards, AI assistants) via client channels; (3) internal design/planning AI for headcount efficiency.

Qin: Retail/e-commerce services for Fortune 500 — “take and use” image/audio/text tools across posters, ads, short video, copy. Internal measure ~20% efficiency lift; headcount 1,000+ (2022) → 800+ while volume +30%.

Lu: B2B marketing SaaS (content, leads, campaigns, data) + AIGC copy/creative/poster assistants.

Chen: Publishing AIGC — “Digital Editor” full-chain cost/efficiency for planning editors.

Landing challenges & real ROI

Sun: AIGC levels the field vs strong legacy AI vendors (e.g. iFLYTEK with own models) — first-mover narrative wins large group deals. Also unlocks bids once uneconomic: video ringtone production ¥2,000 cost vs ¥1,000 budget → AIGC ¥500–700 makes it viable; lower client cost wins vs non-AI peers.

Qin: E-commerce content arms race + falling client willingness to pay mid-layer fees. AIGC frees repetitive non-standard creative — junior designer + AIGC can own full KV + motion short video once needing a small team. Hardest change-management: get hundreds of staff to actually use tools.

Lu: Position as assistant/copilot not full autowriter (quality gap for high-expectation users). Client concerns: data security, copyright, evolving regulation — co-create.

Chen: Cost — deeper topic intel vs travel/dealer scouting; efficiency — digital editor contact on books for post-sale knowledge services/recommendations; difficulty — traditional publishers’ digital maturity; vertical models need more precise data partnership.

Advice for enterprises embracing AIGC

Panel closes with practical adoption guidance in CN (start from workflows, change management, assistant positioning, publisher digital readiness) — preserve full closing remarks on ingest; EN above carries the quantified Pukang / Xiaoshui unit-economics facts.

— END —

Editorial English edition by Unique Research, published on UniqueCapital on May 8, 2024. This translation is based on an earlier Chinese article; the Chinese source is credited separately and is not treated as a line-by-line mirror.

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