Setup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
A global commerce platform supports millions of businesses across 175 countries, providing infrastructure for entrepreneurs and enterprise brands to sell online and in-store.
Merchants, particularly new entrepreneurs, often faced weeks of delay in achieving their first sale due to the complexity of data analysis and store...
“The combination of Claude and Vertex AI helps us empower millions of merchants with our AI-enabled commerce assistant, Sidekick. There’s been a lot of merchants that we’ve talked to that say Sidekick ‘feels like a lifeline for small businesses’ and helps them ‘come out on top’.”
E-commerce and point-of-sale platform for businesses of all sizes.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Shopify's Merchant business assistant is part of this use case:
Related implementations across industries and use cases
Dense API docs bottlenecked non-technical users. Now, Claude builds fully configured voice agents from simple plain-text requests.
Migration delays and hour-long drafts bottlenecked teams. Claude now accelerates coding and cuts client follow-up time to minutes.
Launching one outreach campaign meant clicking through four interfaces. Now customers state the goal; Apollo's assistant runs the full loop.
Agents were buried in common questions, with resolutions taking 3 hours. Now, an AI agent fields FAQs, freeing experts for complex cases.
Rigid phone trees bottlenecked support. Now, an AI agent resolves inquiries, sums balances across systems, and routes to human staff.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
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.
Setup and data analysis held back shops for weeks. AI now runs those workflows, helping merchants land their first sale in days.
A global commerce platform supports millions of businesses across 175 countries, providing infrastructure for entrepreneurs and enterprise brands to sell online and in-store.
Merchants, particularly new entrepreneurs, often faced weeks of delay in achieving their first sale due to the complexity of data analysis and store...
“The combination of Claude and Vertex AI helps us empower millions of merchants with our AI-enabled commerce assistant, Sidekick. There’s been a lot of merchants that we’ve talked to that say Sidekick ‘feels like a lifeline for small businesses’ and helps them ‘come out on top’.”
E-commerce and point-of-sale platform for businesses of all sizes.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Shopify's Merchant business assistant is part of this use case:
Related implementations across industries and use cases
Dense API docs bottlenecked non-technical users. Now, Claude builds fully configured voice agents from simple plain-text requests.
Migration delays and hour-long drafts bottlenecked teams. Claude now accelerates coding and cuts client follow-up time to minutes.
Launching one outreach campaign meant clicking through four interfaces. Now customers state the goal; Apollo's assistant runs the full loop.
Agents were buried in common questions, with resolutions taking 3 hours. Now, an AI agent fields FAQs, freeing experts for complex cases.
Rigid phone trees bottlenecked support. Now, an AI agent resolves inquiries, sums balances across systems, and routes to human staff.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
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.