Artificial intelligence in Macerata
We put artificial intelligence to work for Macerata businesses in measurable ways: reliable answers on technical sheets and procedures, checks that run by themselves every day, forecasts of orders and production.
We’ve already made more than 70 companies better
Data scattered between coast and hills
Around Macerata many companies have departments and sites spread between the coast and the inland hills, and work for demanding customers: fashion brands for leather goods and footwear, designers and distributors for lighting. Each customer brings different specifications, standards and documentation requests.
An AI assistant finds the right rule for that customer in seconds, a daily data check flags jobs that overrun their costs, and a forecast of orders and loads helps spread work across departments and outside workshops.
The universities of Macerata and Camerino train graduates in law, economics and the sciences who can work alongside these tools in a company. Artificial intelligence needs skills on rules as well as on data: knowing what may be done with information and who is accountable for it.
Some of our projects
Artificial intelligence services
From the first use case to production, on your company’s data.
Chatbot AI
An assistant that consults customer specifications, product sheets and installation manuals and answers citing the source: useful to the technical office of a lighting maker as much as to quality staff in leather goods.
Anølyzer
It examines job costs, leather waste and late orders every day and alerts managers when a value moves away from the usual, before the problem reaches the customer.
Predictions
It estimates customer orders, demand for catalogue products and department loads, to plan purchases, staff and outside workshops a few weeks ahead.
AI adoption
We select with you the use cases to start from, prepare people to use them well and set rules on data and vendors that comply with GDPR and the AI Act.
Digital that delivers concrete results in Macerata
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.
From field trial to adoption
We start from a precise use case, measure the starting point and build a prototype on your data. Work proceeds from Modena with regular updates; we come to Macerata for the analysis, user trials and release. Once launched, the tool remains our responsibility: we measure its results and update it when documents, data or goals change.
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.