Alan Girard
IT Manager · Nital
The company
Nital brings the most popular tech brands to Italy. It is the official distributor for Nikon, DJI, iRobot, Polaroid, Sonos and around a hundred other brands. When a manufacturer wants to enter the Italian market, Nital buys its products, holds them in its own warehouses and takes them everywhere, from big-box retail to camera shops through to Amazon and other e-commerce platforms.
Today more than 200 people work there and, despite that, it has stayed a family-run business.
Heading up IT is Alan Girard, IT Manager. His office doesn't only do systems. It runs the special projects that grow the business, from entering a new marketplace to automating orders and shipments.
The challenge
Alan had clear ideas about how to close the skills gap between teams. Many AI projects start at the top and stall, because the data foundation they should rest on isn't there. He chose the opposite route, from the bottom up. Give every employee a ChatGPT Enterprise licence and the training to use it well, so that it's the people themselves who flag what is worth automating.
Then there was a more operational front, the product catalogue. Nital manages between 50 and 60 thousand SKUs across roughly a hundred brands, each with its own assets and its own rules, with no shared catalogue to find them all in one place. So for a single product, the description sits in one place, the high-resolution images in another, the Italian manual in yet another.
Every time a product sheet is needed, to publish or update an item on one of the many e-commerce platforms, someone has to track everything down and put it back together from scratch. It's friction that wastes enormous amounts of time, and building the catalogue by hand from zero, one sheet for each of tens of thousands of products, would have been practically impossible.
The solution
Yellow Tech worked with Nital on two fronts, training the people and automating the processes.
On the first, a continuous training track rather than a one-off course. Three sessions a year, calibrated on the company's needs. They started from building presentations, from text generated with an LLM to tools for laying out more effective slides. Then data analysis in Excel, the daily work of the sales team.
On the second front, Yellow Tech built an agent with Nital's IT team that generates the product sheets. The agent starts from the manufacturer's official site and retrieves the product information, the high-resolution images and the Italian manuals, matches them to Nital's SKUs and files them in a database that assembles the finished sheet.
Then the next step. When a sheet contains an inaccuracy, the PM writes their objections in a text field and clicks a button. The agent regenerates the sheet taking every correction into account. In one test the sheets were even translated into Neapolitan, flawlessly.
The track started with a single brand, as a pilot. The test worked, and today that prototype is becoming a stable internal tool.
“Thanks to the Yellow Tech team we built the automations that generate our product sheets. It worked brilliantly.”
The results
The product-sheet tool is already in use in the company. When a product manager or someone from the direct-to-consumer team needs a sheet, they ask the tool and receive it ready to review. Work that started from zero across tens of thousands of SKUs now rests on a foundation built automatically.
To make the results visible and measurable, Nital launched an internal contest. At the end of the year it rewards the three most useful ideas born with AI. Every employee explains in a short pitch what they automated and how much time they saved. The real goal is sharing, because a good idea that circulates saves time for everyone else too.
The best signals come from the least technical departments. Alan points to accounting, where reconciling courier invoices used to take a full working day and now takes a few minutes. For Alan that's exactly the kind of return he was looking for, a concrete improvement in the teams' efficiency.
“I'd recommend it to everyone, not just to companies but to employees themselves.”
