Zitec

We’re back at the Romanian National Sailing Championship today. ⛵️

Our story here started with Ostwind, the boat that took the crew to two consecutive championship wins in 2023 and 2024.

In 2025, we moved to Racer A2 with Ops and finished second, with only 32 seconds separating us from the title in the final race. This year brings a new setup, with Lady Diana carrying the Mirro.io + Zitec colors. 💙

Sailing has grown into one of those parts of our culture where teamwork becomes very literal. You read the conditions, trust the people around you, adjust together, and keep on moving.

Four years in, we’re curious to see where Lady Diana takes us next.
Fair winds to the crew today!

Shoutout to Red Lotus Sailing, our partner at sea, for helping us skipper our boats so well. 🌊

Plenty of retailers we talk to have solid reporting and dashboards they trust, so it surprises them when their first AI projects fall behind expectations. The reason is, more often than not, the data.

Reporting and AI need very different things from it, yet most data today is set up for reporting.

You see, reporting looks backwards. It tells you what happened, so the data gets summarised into the totals a dashboard needs.

But AI looks forwards, and to guess what a customer does next, it needs just the detail those summaries drop. It needs explicit input like who bought something, what they bought with it, and what usually follows for people like them.

Nowadays, a lot of the retail platforms we see are built on the Medallion architecture (the Bronze, Silver, and Gold layers). That works well for reporting, but AI needs another step on top, where the data holds context rather than just a structure.

We covered the whole operational strategy in just 10 minutes with Google Cloud, now viewable on demand. The link is below. Watch it at your own pace, whenever you're ready.

Cars2click is a digital car trader active in 16 countries. They run an AI-driven platform that helps dealers make inventory decisions from detailed market data. Today, we want to take a throwback to our work together, as it seems more relevant than ever.

As their volume grew, the older architecture could not keep pace. Working with our DevOps and Cloud team, the platform started ingesting around 5 million events in under 40 minutes a day, and data processing that used to take 2 hours went down to about 5 minutes.

If you want to replicate this kind of success, the lesson we'll always refer you to is this 👇

AI features are only as fast as the foundation under them. Get your data pipeline foundation and structure right first. Everything else follows.

Full case study in the comments 👀

A few months ago, we reported working with two of the largest utility companies in Romania, where we automatically processed over 80% of incoming customer requests using AI.

That is the equivalent of more than 80,000 requests a year. ✊

We wanted to shed light on this project again so you know what made it a success, as it translates to every single AI project you'll run.

It's not the AI, but the clean, structured, connected data and a clear business case discussed at a shared table. We usually help build both before recommending any technology solution.

That's something that should be common sense, but it's quite rare in today's hyped market. Treating AI the way we treat any technology is just a good business practice. We only bring it in when it improves the business outcome, and we prove that outcome before we scale it.

If anyone recommends plugging AI into unclear processes and poor data, make sure you do not take that advice.

More from our Data & AI work over the coming weeks. There are a lot of insights, including both wins and lessons, that we will share.

If there's something in particular you'd like to know more about, now's the time to let us know.👇

"Already, 44% of AI-powered search users say it’s their primary and preferred source of insight", says McKinsey. 👀

What's more, this type of search behaviour tops traditional search (31%), retailer or brand websites (9%), and review sites (6%).

If GEO and agentic AI optimization aren't part of your retail business's strategy, you're already behind.

What do our experts and leaders from Google and our Commerce Conversations community attendees recommend? Swipe to find out. 👉

👋 Hey again! Here's another idea from our last Commerce Conversations roundtable that we'd like to share, because much of the dialogue circled around this struggle.

Back-margin and discount structures seem so tangled that tracking them by hand becomes a constant burden, and the instinct that follows is to automate the whole thing.

But then one participant described a commercial model that he kept simple on purpose, and it raised an interesting question.

Was your complexity ever a decision, or did it build up over the years without anyone choosing it? 🤔

That thought alone changes what you should automate.

👉 Some complexity is load-bearing, tied to a real advantage such as a pricing structure that wins deals or a condition that protects margin, and that kind is worth keeping and automating.

👉 Other complexity is sediment, made of conditions added long ago for reasons no one remembers and exceptions that outlived the situation that created them.

A useful way to sort one from the other is to picture removing a condition tomorrow and asking whether anyone in sales or finance would notice, and whether the business would lose anything real. When the answer is no, you are looking at sediment.

This is why we start by understanding the problem before writing any code, because deciding what deserves to exist is the part that shapes everything that comes after. ✊

A little over a month since the first refresh of our visual identity in more than 23 years, so here's a sweet throwback to the live message we dedicated to our teams, right by the HQ. 🫂

And sure, this is also a pretext to tell them once more how thankful we are for every one of the 500+ people who keep choosing to fight the good fight and use technology for good. 💙

Around here, we spend our days building solutions that make everyday life a little better for the 20+ million people who use them each year. None of it would have been possible without the brilliant humans behind the code, the partnerships, and everything Zitec stands for.

Thank you!

Azi ne jucam fazan cu ce încape într-un g̶e̶a̶m̶a̶n̶t̶a̶n̶ Sameday easybox.

Cu alte cuvinte, ne gândim la lucruri care pot ajunge mai departe către copiii care au nevoie de ele: ghiozdane, rechizite, cărți, haine, jocuri sau produse de igienă.

Ele par obiecte simple.

Dar, odată ce le punem într-un locker pentru a fi donate, se transforma în multă grijă, confort sau bucurie pentru un copil care are nevoie de ele. 💙

Impreună cu SAMEDAY, am lansat , o funcționalitate prin care donațiile în bunuri pot fi trimise direct din aplicația SAMEDAY, prin rețeaua de easyboxuri.

Pregătești coletul acasă, intri în aplicație la ”Trimite colet”, alegi opțiunea ”Donează” și îl lași la orice easybox aflat la îndemână.

Primele 10.000 de donații sunt gratuite și vor ajunge la ONG-urile partenere din program: O mână de ajutor și Asociația Casa Bună. Vom extinde lista partenerilor în perioada următoare.

PS: Noi am ajuns la litera N. Tu ce obiect ai adăuga mai departe?

Doctors did not train for years to spend their days re-entering data into disconnected systems.

At a recent event in Strasbourg, where we met with French medical practitioners, our Enterprise Solutions Director, Cristian Boicea, asked medical practitioners if they too experience a huge loss of time spent on admin work instead of patient care.

The hands raised told a story we all know too well. And the data backs up the room feeling. 👀

According to the 2026 Medscape Physician Burnout and Depression Report, 62% of medical practitioners name administrative work as their number one stressor. For many, up to 2 hours a day are pulled away from important patient care.

This leads to a concerning reality where 1 in 4 doctors is actively considering leaving this field of work.

Today, we want to show you what can change when that admin burden is engineered away, drawn from our projects in the healthcare industry.

Swipe through. 👉