Gelato
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Gelato has 2 source-linked AI deployments documented in AIUseCaseHub, across 2 industries and 1 country.
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Hyperscaler mix
See whether Gelato's cases are powered by Microsoft, AWS, GCP, or multiple providers.
How Gelato builds AI
Build / Buy / Compose across this company's documented cases
2 of 2 cases classified (100%) · Compare all use-case types
Use case portfolio
Use case types at Gelato
Legal onboarding automation leads with 2 of 2 documented cases; 1 distinct type appears across the visible portfolio.
Reported outcomes
2 cases report measurable results
+75%
Quality & accuracy
median · 4 metrics
Medians of results published in Gelato cases, normalized for comparability. See all benchmarks →
Technology snapshot
What Gelato uses across visible cases
5 named technologies are mentioned across 2 cases, led by BigQuery.
Capability mix
No capability flags are attached to these cases yet.
Technologies mentioned
All Use Cases (2)
Gelato used Vertex AI and Gemini to automate engineering ticket triage and error categorization
Gelato, a Norwegian software company that brings local production to global ecommerce, used Gemini 1.5 Pro on Vertex AI to improve internal engineering-support and customer-support workflows.The company trained Gemini 1.5 Pro to understand its engineering-support ticket-triage process and automatically assign tickets to the correct engineering team.Gelato also embedded Gemini in customer-support systems to instantly classify error reports across more than 120 categories.
Gelato: Gemini-powered engineering-support ticket triage and error categorization
Gelato, a Norwegian software company for customized print products and ecommerce, used Google Cloud AI to improve internal support workflows.The company needed to reduce manual engineering-support triage and improve accuracy when assigning tickets and categorizing customer errors across many categories.
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