Scattered systems left a long tail of manual actions untouched. AI agents now operate UIs directly to run workflows, escalating exceptions.
A software platform building AI agents that run procurement, supply chain, and category management processes for multi-billion-euro retail and consumer packaged goods companies.
Enterprise operations teams abandon high-value procurement tasks because the work spans heterogeneous systems like ERPs, supplier portals, and...
“The real process lives in people's heads: which supplier needs chasing, which portal field actually matters, which exception to escalate and which to just fix.”
AI platform for customer success automation and churn risk detection.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Duvo's Procurement automation is part of this use case:
Related implementations across industries and use cases
Associates manually routed complex tickets and managed 47K product tags. Now, AI agents triage requests and classify attributes.
Static workflows bottlenecked complex tasks. Now, Claude coordinates 8 agents to generate unique execution strategies for every query.
Automation required manual logic mapping. Non-technical users now describe needs in plain text to deploy production-ready code.
Data scattered across 700 tables forced operators to perform 100 daily manual tasks. Now, AI agents autonomously execute these workflows.
Merchandising relied on spreadsheets and physical resets. Digital twins now simulate layouts virtually before staff move a single shelf.
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.
Scattered systems left a long tail of manual actions untouched. AI agents now operate UIs directly to run workflows, escalating exceptions.
A software platform building AI agents that run procurement, supply chain, and category management processes for multi-billion-euro retail and consumer packaged goods companies.
Enterprise operations teams abandon high-value procurement tasks because the work spans heterogeneous systems like ERPs, supplier portals, and...
“The real process lives in people's heads: which supplier needs chasing, which portal field actually matters, which exception to escalate and which to just fix.”
AI platform for customer success automation and churn risk detection.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Duvo's Procurement automation is part of this use case:
Related implementations across industries and use cases
Associates manually routed complex tickets and managed 47K product tags. Now, AI agents triage requests and classify attributes.
Static workflows bottlenecked complex tasks. Now, Claude coordinates 8 agents to generate unique execution strategies for every query.
Automation required manual logic mapping. Non-technical users now describe needs in plain text to deploy production-ready code.
Data scattered across 700 tables forced operators to perform 100 daily manual tasks. Now, AI agents autonomously execute these workflows.
Merchandising relied on spreadsheets and physical resets. Digital twins now simulate layouts virtually before staff move a single shelf.
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.