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
Answers in Slack, docs, and people's heads. Crafty documented it first; agents now handle 60%+ of questions and free 730 engineer hours.
Associates manually routed complex tickets and managed 47K product tags. Now, AI agents triage requests and classify attributes.
Manual vendor reviews took days, masking duplicate subscriptions. Now, an AI agent verifies SOC 2 compliance and flags upcoming renewals.
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.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
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
Answers in Slack, docs, and people's heads. Crafty documented it first; agents now handle 60%+ of questions and free 730 engineer hours.
Associates manually routed complex tickets and managed 47K product tags. Now, AI agents triage requests and classify attributes.
Manual vendor reviews took days, masking duplicate subscriptions. Now, an AI agent verifies SOC 2 compliance and flags upcoming renewals.
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.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.