Artificial intelligence in Fermo
We apply artificial intelligence to the typical problems of the Fermo district: how many pairs to make in each size, which subcontractor is slowing down, where to quickly find the right work sheet.
We’ve already made more than 70 companies better
Sizes, samples and subcontractors
Around Fermo, footwear and hat companies work by collection: they prepare samples, collect orders over a few weeks, then produce through a network of outside workshops. Every season leaves valuable data on sales, returns and lead times, which often stays in the archive unread.
Artificial intelligence puts that data back to work: it estimates the spread of sizes and reorders, flags delays and unusual costs along the supply chain every day, and answers pattern makers and staff on technical sheets and quality procedures, citing the source.
Many district companies have lean structures and few people in the office, often with a strong export share. Tools that run automatically and only raise an alert when needed suit them well, since nobody has time to watch a dashboard all day.
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 work sheets, customer specifications and quality procedures and answers citing the document: useful to the pattern maker as much as to the office handling complaints.
Anølyzer
It checks subcontractor progress, cost per pair and margin per customer every day and alerts management when something leaves the norm, such as a workshop running late on a key order.
Predictions
It forecasts reorders, size distribution and production loads for the season, so leather purchases and subcontractor bookings start early.
AI adoption
Together we choose the first use cases, train the people who will use the tools and set rules on data and AI vendors in line with GDPR and the AI Act.
Digital that delivers concrete results in Fermo
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 a trial season to routine
We start from a concrete problem, build a prototype on data from past collections and check it with you. Development moves forward from Modena; we come to Fermo for the analysis, trials with your people and launch. After launch we check that forecasts and answers stay reliable season after season, and update the tool when needed.
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.