Post-broadcast processing burned 4 hours per cycle; banners took 40 minutes. Broadcast and IT co-built Ensong-i — cutting both by up to 8x.
A South Korean TV home shopping network with content creation demands spanning live broadcast production, digital marketing, and sales planning divisions.
Post-broadcast processing required roughly 4 hours per cycle, and producing each mobile or online marketing banner took about 40 minutes, creating a...
“NSIST를 중심으로 AI 활용 기반을 지속 고도화하고 현업과 개발 조직이 함께 AI를 발전시키는 협업 문화를 바탕으로 업무 목적에 맞는 AI 활용을 확대해 소비자에게 더 나은 쇼핑 경험과 서비스를 제공해 나가겠다.”
Also reported by
Home shopping television network and online retail platform.
NS Home Shopping's Content creation is part of this use case:
Related implementations across industries and use cases
Building 1,500 seasonal product pages relied on manual image matching. Now, AI pairs assets to assemble layouts and generate social ads.
Shoots took 10 crew members half a day. One employee now generates complex scenes—like shoes on wet floors—in 10 minutes with AI.
Manual descriptions and secondhand slang bottlenecked new sellers. Now, AI generates listings and translates niche recommerce terms.
Building 1,500 seasonal product pages relied on manual image matching. Now, AI pairs assets to assemble layouts and generate social ads.
Shoots took 10 crew members half a day. One employee now generates complex scenes—like shoes on wet floors—in 10 minutes with AI.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Native ad tools optimized for platform metrics, limiting spend efficiency. An AI agent now adjusts live campaigns to meet business goals.
Filming technical demos in-studio slowed market entry. Marketers now use AI to generate multilingual videos without dubbing or reshoots.
Post-broadcast processing burned 4 hours per cycle; banners took 40 minutes. Broadcast and IT co-built Ensong-i — cutting both by up to 8x.
A South Korean TV home shopping network with content creation demands spanning live broadcast production, digital marketing, and sales planning divisions.
Post-broadcast processing required roughly 4 hours per cycle, and producing each mobile or online marketing banner took about 40 minutes, creating a...
“NSIST를 중심으로 AI 활용 기반을 지속 고도화하고 현업과 개발 조직이 함께 AI를 발전시키는 협업 문화를 바탕으로 업무 목적에 맞는 AI 활용을 확대해 소비자에게 더 나은 쇼핑 경험과 서비스를 제공해 나가겠다.”
Also reported by
Home shopping television network and online retail platform.
NS Home Shopping's Content creation is part of this use case:
Related implementations across industries and use cases
Building 1,500 seasonal product pages relied on manual image matching. Now, AI pairs assets to assemble layouts and generate social ads.
Shoots took 10 crew members half a day. One employee now generates complex scenes—like shoes on wet floors—in 10 minutes with AI.
Manual descriptions and secondhand slang bottlenecked new sellers. Now, AI generates listings and translates niche recommerce terms.
Building 1,500 seasonal product pages relied on manual image matching. Now, AI pairs assets to assemble layouts and generate social ads.
Shoots took 10 crew members half a day. One employee now generates complex scenes—like shoes on wet floors—in 10 minutes with AI.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Native ad tools optimized for platform metrics, limiting spend efficiency. An AI agent now adjusts live campaigns to meet business goals.
Filming technical demos in-studio slowed market entry. Marketers now use AI to generate multilingual videos without dubbing or reshoots.