Complex forms stalled sellers. Multimodal AI now drafts listings from video, cutting setup time to minutes.
Greater Southeast Asia's leading multi-category platform for secondhand goods, serving tens of millions of users across seven markets.
The manual product listing process created friction for sellers, while a legacy fraud detection model could only analyze 10-20% of user...
“We were excited by Gemini because it was the only quality, multimodal model that could process video, audio, image, and text together. This was key, as it allowed us to avoid the complexity and user-perceived latency of stitching multiple solutions together.”
Classifieds marketplace for buying and selling new and secondhand goods.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Carousell's Product listing creation is part of this use case:
Related implementations across industries and use cases
Manual reviews for artisan products took days. Gemini now generates listings from a single image, cutting approval to <1 hr.
Manual descriptions and secondhand slang bottlenecked new sellers. Now, AI generates listings and translates niche recommerce terms.
Exact-match search missed synonyms. AI now maps intent—linking "cooling goods" to inventory—turning vague queries into sales.
Manual reviews for artisan products took days. Gemini now generates listings from a single image, cutting approval to <1 hr.
Shoots took 10 crew members half a day. One employee now generates complex scenes—like shoes on wet floors—in 10 minutes with AI.
16.5 hours to a first reply—on 9,500 inquiries a week. Launched the day before Black Friday, AI agents now close 42% without a human.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Complex forms stalled sellers. Multimodal AI now drafts listings from video, cutting setup time to minutes.
Greater Southeast Asia's leading multi-category platform for secondhand goods, serving tens of millions of users across seven markets.
The manual product listing process created friction for sellers, while a legacy fraud detection model could only analyze 10-20% of user...
“We were excited by Gemini because it was the only quality, multimodal model that could process video, audio, image, and text together. This was key, as it allowed us to avoid the complexity and user-perceived latency of stitching multiple solutions together.”
Classifieds marketplace for buying and selling new and secondhand goods.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Carousell's Product listing creation is part of this use case:
Related implementations across industries and use cases
Manual reviews for artisan products took days. Gemini now generates listings from a single image, cutting approval to <1 hr.
Manual descriptions and secondhand slang bottlenecked new sellers. Now, AI generates listings and translates niche recommerce terms.
Exact-match search missed synonyms. AI now maps intent—linking "cooling goods" to inventory—turning vague queries into sales.
Manual reviews for artisan products took days. Gemini now generates listings from a single image, cutting approval to <1 hr.
Shoots took 10 crew members half a day. One employee now generates complex scenes—like shoes on wet floors—in 10 minutes with AI.
16.5 hours to a first reply—on 9,500 inquiries a week. Launched the day before Black Friday, AI agents now close 42% without a human.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.