Bolted-on voice felt like a chatbot with a mic—customers reverted to one-word commands. Native audio made it a real conversation.
The largest German online retailer, offering roughly 19 million products from its own wholesale business and 6,100 marketplace partners.
Customers asking for advice, like a quiet washing machine for a single person with a dog, couldn't get it from search, which only returns lists of...
“AI is fundamentally changing digital shopping. With our new AI assistant, developed together with Google, we are creating, for the first time, a natural, dialogue-driven shopping experience that feels like a real conversation—just like in a specialty store.”
E-commerce marketplace for fashion, furniture, electronics, and household goods.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
OTTO's Voice shopping assistant 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 tagging couldn't keep pace with 30M products. Gemini now enriches the full catalog—67% faster, with richer detail for every listing.
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Manual tagging couldn't keep pace with 30M products. Gemini now enriches the full catalog—67% faster, with richer detail for every listing.
Sizing doubts held back shoppers. Virtual try-ons and a Gemini agent now visualize fit and answer queries, lifting conversion 2.6x.
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.
Bolted-on voice felt like a chatbot with a mic—customers reverted to one-word commands. Native audio made it a real conversation.
The largest German online retailer, offering roughly 19 million products from its own wholesale business and 6,100 marketplace partners.
Customers asking for advice, like a quiet washing machine for a single person with a dog, couldn't get it from search, which only returns lists of...
“AI is fundamentally changing digital shopping. With our new AI assistant, developed together with Google, we are creating, for the first time, a natural, dialogue-driven shopping experience that feels like a real conversation—just like in a specialty store.”
E-commerce marketplace for fashion, furniture, electronics, and household goods.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
OTTO's Voice shopping assistant 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 tagging couldn't keep pace with 30M products. Gemini now enriches the full catalog—67% faster, with richer detail for every listing.
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Manual tagging couldn't keep pace with 30M products. Gemini now enriches the full catalog—67% faster, with richer detail for every listing.
Sizing doubts held back shoppers. Virtual try-ons and a Gemini agent now visualize fit and answer queries, lifting conversion 2.6x.
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.