Artificial intelligence in Perugia
We build artificial intelligence tools for Perugia companies with a precise job: answering on technical sheets and procedures, watching production and sales figures, forecasting orders, sample collections and visitors.
We’ve already made more than 70 companies better
Collections, recipes and pilgrims
In the province of Perugia supply chains run on very different calendars: knitwear follows collections and samples, confectionery follows festive seasons, mechanics follows industrial orders, wineries follow vintages. Tourism in Assisi, Gubbio, Spoleto and around Lake Trasimeno has flows of its own, tied also to events.
Artificial intelligence helps keep pace with these calendars. It estimates how many garments, packs or rooms will be needed, checks progress and margins every day, and answers people working on technical sheets, recipes and instructions, without having to call the colleague who knows.
With the University of Perugia and the University for Foreigners, the area trains well-prepared people used to working in several languages. For companies this is a real advantage: those adopting artificial intelligence find staff able to use it well and check its results.
Some of our projects
Artificial intelligence services
From the first use case to production, on your company’s data.
Chatbot AI
An assistant that answers on yarn and garment technical sheets, recipes, work instructions and quality procedures, citing the source: useful on the shop floor as much as in the sales office.
Anølyzer
Every day it compares production, waste, sales and margins with expected values and alerts management when something is off, such as a line slowing down or a client ordering less.
Predictions
Forecasts of orders by collection or festive season, production workloads and tourist numbers, to decide purchases, shifts and stock in advance.
AI adoption
We help you identify use cases, train your people and write the rules on data and vendors with you, in line with GDPR and the AI Act.
Digital that delivers concrete results in Perugia
Webion works on shared metrics to turn investments into tangible returns.
Measurable goals
Before writing code we set the indicators with you: hours saved, errors avoided, response times.
Pragmatic innovation
We pick the technology that solves the problem, not the fashionable one, and bring it to production step by step.
Frictionless delivery
Short, frequent releases, tried by the people who will use them, so the software enters the company without stopping work.
Hypotheses, measures, learning
Every release comes with metrics and retrospectives to fine-tune the roadmap.
Use case
We pick a concrete process and set the indicators that will measure the result.
Prototype
We build a first tool on your real data and test it with the people who will use it.
Production
We integrate it into your existing systems, with permissions, logs and security.
Measure
We compare results with the goals and decide together whether to extend, adjust or stop.
Close when needed, always measured
From Modena we build a prototype on your data and check it with the people who will use it; being a few hours’ drive away, we meet often at your premises for analysis, tests and launch. After release we keep following the tool, updating data and documents and checking that results remain as expected.
Clients who improved their KPIs
Our collaboration brings measurable benefits in efficiency, revenue and user satisfaction.
Lower churn thanks to personalised experiences and targeted notifications.
More digital conversions through UX optimisation and multivariate testing.
More productive teams through automation and operational dashboards.
AI that is reliable and governed
Document search
The assistant answers only from your documents and cites the source of every answer.
Permissions
Everyone sees only what they are allowed to see, and every access is logged.
Monitoring
We track answer quality, costs and usage, and step in when something changes.
Compliance
Every solution is designed in line with GDPR and the AI Act, with clear rules on data and vendors.