AI use cases in Italy
13 documented implementations
Alpitour World equips booking operators with AlpiGPT, an Azure OpenAI Service assistant
Italian travel group Alpitour World built AlpiGPT with Azure OpenAI Service, Azure AI Search and partner Mauden so booking operators can get answers from internal travel catalogs. After a proof of concept, 50 booking operators started using it; the company has identified 98 further use cases.
Euronics Italia's AI Agent Ronics Lifts Conversion Rate 53% with Agentforce
Euronics Italia, part of the largest group of European consumer electronics retailers, built Ronics, an Agentforce AI agent that connects to its 26,000-SKU catalogue in Data 360 to answer appliance questions in natural, conversational Italian, suggest and compare products, and recommend replacements, bringing its in-store expertise to online shopping and lifting conversion rate by 53%.
Italgas Embeds Agent Bricks Machine Learning and Genie Natural-Language Queries into Gas Distribution Operations
Italgas unified its siloed gas-distribution data systems on the Databricks Data + AI Platform, using Delta Lake, Unity Catalog and Databricks SQL to process 1TB of data daily and give 80% of employees self-service AI/BI Dashboards, cutting platform costs by 70% and workload costs by 73% versus its prior Azure Synapse setup. Italgas plans to embed the Genie Conversation API into its DEVA meter-management and DANA control-room systems for natural-language queries.
Iveco Group deploys internal generative AI chatbot Chat IVG on Azure OpenAI
Iveco Group, an Italy-headquartered commercial vehicle manufacturer, became the first automotive manufacturer headquartered in Italy to adopt Azure OpenAI Service in production, building an internal chatbot called Chat IVG, available in Microsoft Teams, that answers questions and extracts information from company data and documents. Usage grew from 5 to hundreds of employees by word of mouth, and employees rated it 4.7 out of 5 on Net Promoter Score.
Bitron boosts EV charging station efficiency with Oracle AI solutions
Bitron Electronics, an Italian manufacturer monitoring more than 200 electric vehicle charging stations, built a conversational chatbot using Oracle AI Database with AI Vector Search, RAG, and LLMs (Cohere Command R, Meta Llama) via OCI Generative AI to unify fault tickets, technical manuals, and other data sources. The chatbot answers 85% of operator questions and helps diagnose charging station issues 5X faster, reducing downtime and maintenance time by tens of hours per month.
Amplifon cuts invoice backlog and boosts efficiencies with Oracle AI
Amplifon, a global hearing healthcare retailer operating in 26 countries, activated AI features embedded in its Oracle ERP, including Intelligent Document Recognition, to process financial documents such as invoices, payments, and purchase orders. Instead of paper invoices and scanned documents languishing unassigned in email inboxes, supplier documents now arrive directly into the ERP system and are visible on a central dashboard, letting Amplifon's HQ monitor backlogs by country. Oracle Intelligent Account Combination Defaulting has been used over 100,000 times in the past six to twelve months, freeing employees from paper-based tasks for more strategic work.
Satispay's engineers generate 75% of committed code with Claude Code, cutting a Java upgrade from 4 weeks to 4 days
Satispay, Italy's leading independent payment network with 6 million consumers, rolled out Claude Code to its engineering organization after a structured 30-day evaluation, deploying it fleet-wide within 30 days. Engineers now generate over 75% of monthly committed code with Claude, achieved 10x faster modernization of the core transaction service (a Java 8-to-21 and Spring upgrade done in under four days versus a four-week estimate), cut data-transformation Lambda development from three days to under an hour, and completed an 18-month code update roadmap in 7 months.
Miroglio Group Unleashes Fashion Innovation in Italy with Generative AI on AWS
Italian fashion company Miroglio Group, which designs and distributes 10 fashion and lifestyle brands across 41 countries, worked with AWS Partner Data Reply to replace its manual product-tagging process with a generative AI-powered tagging system built on Amazon Bedrock using Anthropic's Claude 3.5 Sonnet, combined with a machine learning model trained on the company's historical images. The system analyzes product images and generates accurate technical and editorial tags and descriptions across multiple languages, reaching almost 90 percent accuracy and cutting a task that previously took one month down to about one hour.
Ferrari Advances Generative AI for Customer Personalization and Production Efficiency
Ferrari built a car configurator on AWS using LLMs in Amazon Bedrock and Amazon Personalize, letting customers personalize their vehicle across millions of possible configurations with 3D visualization, which increased sales leads and cut configuration times by 20%. Ferrari also fine-tuned Amazon Titan, Claude 3 and Llama models in Bedrock (combined with Amazon SageMaker JumpStart) on its own documentation to power an after-sales generative AI chatbot that classifies and summarizes customer care tickets, and uses Amazon Lookout for Vision to automate quality inspection and defect detection on the assembly line. Generative AI is also used to run vehicle design simulations and text-to-image prototyping to reduce reliance on physical prototypes.
Illimity modernizes commercial banking with Databricks and adopts LLMs for customer-centric chatbots
Illimity, an Italian digital bank, built its data architecture entirely around the Databricks Data + AI Platform to process data in real time, extract actionable insights and securely share it with partners. Databricks has supported Illimity's adoption of LLMs, using vector embedding and vector databases, to inform its knowledge base and power intelligent customer-centric chatbots. Illimity is also exploring Databricks Clean Rooms to monetize its architecture using deterministic or machine learning models without compromising confidentiality.
Unipol accelerates insurance operations with Generative AI built by Reply
Italian insurer Unipol Group, serving customers through more than 2,000 agencies, worked with Reply (Cluster Reply and Sprint Reply) to build a governed Generative AI platform: a Foundation Layer/Unipol GenAI Stack using Azure AI Search and a Vector DB indexing over 60,000 documents; a Virtual Information Assistant chatbot with RAG over 50,000+ documents that reduces back-office ticket load and delivers responses in seconds; a network of AI agents built with Azure OpenAI, LangChain/LangGraph and UiPath that convert manual tasks into conversational interactions with real-time data validation; and an AI Guardrail governance layer (built on the LoopMind asset) providing LLM-as-a-judge monitoring, human-in-the-loop validation and AI Act compliance. Reply reports accelerated time-to-value, with new applications released in 1-3 months.
Fastweb + Vodafone: Transforming Customer Experience with AI Agents using LangGraph and LangSmith
Fastweb + Vodafone, part of the Swisscom Group and one of Europe's leading telecommunications providers serving millions of customers across Italy, built two AI agent systems on LangChain and LangGraph. Super TOBi transforms its existing chatbot TOBi into an agentic system using a Supervisor agent (for routing and guardrails) and specialized Use Case agents following the LLM Compiler pattern to call customer APIs and execute transactional actions like offer activation or payment updates. Currently serving nearly 9.5 million customers through the Customer Companion App and voice channels, Super TOBi achieves a 90% correctness rate, an 82% resolution rate, and a Customer Effort Score of 5.2 out of 7. Super Agent is an internal tool that augments call center consultants with diagnostics and guidance, storing operational knowledge as a graph in Neo4j and using an automated ETL pipeline with LangGraph and LLM agents to convert business-authored procedures into the knowledge graph; it has driven One-Call Resolution rates above 86%. The company uses LangSmith for observability, daily automated evaluation of chatbot responses, and continuous improvement.
Domyn builds Colosseum 355B, a sovereign AI foundation model, using NVIDIA DGX Cloud
Domyn (formerly iGenius), an Italian AI company serving highly regulated sectors such as financial services and public administration, used NVIDIA DGX Cloud with over 3,000 NVIDIA H100 GPUs to continue-pretrain Colosseum 355B, a 355-billion-parameter foundation LLM. Within one week Domyn had access to the dedicated infrastructure, and within two months completed continued pretraining, achieving 82.04% accuracy on the MMLU benchmark. The model powers Domyn's business intelligence agent, Crystal, a sovereign AI solution deployed on private infrastructure.


