Artificial intelligence in Reggio Emilia
Together with Reggio Emilia companies we build artificial intelligence tools that work on their own data: assistants on catalogues and manuals, daily checks on the numbers, forecasts of orders and sales.
We’ve already made more than 70 companies better
Long catalogues, long supply chains
Reggio Emilia’s engineering firms manage catalogues with thousands of part numbers, data sheets and manuals for every component; fashion works on collections that change every season; dairies and wineries follow precise specifications. The university, which also has a campus in Reggio, trains engineers and technicians who know these sectors.
With so much documentation, answering a customer or a technician often needs the one person who knows where to look. Artificial intelligence makes that knowledge accessible to everyone, checks the numbers every day for you and helps you see in advance what the market will ask for.
Component makers depend on their customers’ plans, which change often and without warning. Reading the signals in orders in time, and estimating their effect on production in the coming weeks, helps avoid both a full warehouse and a missed delivery.
Some of our projects
Artificial intelligence services
From the first use case to production, on your company’s data.
Chatbot AI
An assistant on technical catalogues, manuals and test procedures that answers citing the data sheet or page: sales staff can reply to customers without waiting for engineering.
Anølyzer
Every day it checks orders, rejects, delivery times and margins by customer and flags anomalies to management, such as a customer cutting orders or a part with rising returns.
Predictions
It forecasts customer orders, collection sales and department workloads, so purchasing and production are decided on data and not on gut feeling alone.
AI adoption
We help you choose the first use cases, train people and define rules on confidential technical data and AI vendors that comply with GDPR and the AI Act.
Digital that delivers concrete results in Reggio Emilia
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 by, and on your data
We work from Modena with short releases and remote updates. Being a few kilometres away, we are glad to come over to study the data, test the prototype with its users and support the launch. After release the tool remains our responsibility: we check its reliability and update it when catalogues, customers or procedures 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.