Traffic spikes risked slowing AI responses. Now, infrastructure auto-scales to serve millions of concurrent users instantly.
A technology provider building human-like AI agents for B2C retail and commerce brands that serve millions of global users.
Maintaining high performance for millions of concurrent users required infrastructure that could handle massive demand peaks without latency. The...
“Building a human-like AI agent to serve B2C companies with millions of users is highly competitive, and we needed to ensure our agent was efficient and accurate. Through Google Cloud, we have accessed the latest and greatest technologies and features to overcome these challenges.”
AI agent platform for omnichannel customer engagement across digital and physical channels.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
LiveX AI's Customer service agents is part of this use case:
Related implementations across industries and use cases
Viral spikes forced expensive over-provisioning. Autoscaling AI agents now handle 100k+ weekend runs while curbing idle costs.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Language barriers hid 2M products from global buyers. AI now rewrites queries to find exact matches across borders.
Viral spikes forced expensive over-provisioning. Autoscaling AI agents now handle 100k+ weekend runs while curbing idle costs.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Traffic spikes risked slowing AI responses. Now, infrastructure auto-scales to serve millions of concurrent users instantly.
A technology provider building human-like AI agents for B2C retail and commerce brands that serve millions of global users.
Maintaining high performance for millions of concurrent users required infrastructure that could handle massive demand peaks without latency. The...
“Building a human-like AI agent to serve B2C companies with millions of users is highly competitive, and we needed to ensure our agent was efficient and accurate. Through Google Cloud, we have accessed the latest and greatest technologies and features to overcome these challenges.”
AI agent platform for omnichannel customer engagement across digital and physical channels.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
LiveX AI's Customer service agents is part of this use case:
Related implementations across industries and use cases
Viral spikes forced expensive over-provisioning. Autoscaling AI agents now handle 100k+ weekend runs while curbing idle costs.
Manual review of sensitive files took two days. AI agents now finish the work in one hour.
Language barriers hid 2M products from global buyers. AI now rewrites queries to find exact matches across borders.
Viral spikes forced expensive over-provisioning. Autoscaling AI agents now handle 100k+ weekend runs while curbing idle costs.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.