Mario bencivinni

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Global eCommerce Emerging Channel Lead (GenAI, Agentic AI)
@Nestlé Headquarter

I’m Mario Bencivinni, welcome to my personal page.For the past 15+ years, I’ve helped global companies lead end-to-end digital transformation, from strategic planning and solution design through execution, performance evaluation, continuous improvement, and large-scale adoption.My journey began in digital marketing and eCommerce, and since 2022 I’ve focused on the practical, business-first adoption of Generative and Agentic AI.I’m at my best when translating complex technical topics into clear strategies and real change, working with senior stakeholders and leading multicultural, multi-skilled teams.I also teach at university, where I share how companies really operate and help students prepare for a job market that is being reshaped by Generative AI.

This is where I share what I learn, think, and experiment along the way

Rewiring the CPG Factory While It’s Still Running

The Two-Front War: CPG's Unfinished Digital Shelf meets the AI Tsunami

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Universities are the silent engine of AI Enterprise Transformation

Universities power AI transformation by shaping new talent and teaching how to work with AI.

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Interested in my full professional background?

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Rewiring the CPG Factory While It’s Still Running

^{November 2025}

I’ve had a unique seat in the digital theater.I was there explaining the mechanics of Google AdWords to my first marketing director or launching Amazon in Italy when it was just something more than a start-up for us...
At that time, my main challenge was selling the vision.I had to convince executives that the digital world could become a thing, that content mattered, and that this new thing wasn't a fad.
It was a fight for conviction. I still remember a lot of the thousands of slides I created for internal pitches.Today, that fight is over.
Everyone in CPG, from the warehouse to the board, knows about digital and has also experienced the magic of Generative AI and ChatGPT.They see the new data and promises: GenAI referrals convert XX percentage points better than Google. They see Amazon's Rufus raising the company's entire conversion rate. Walmart is partnering with OpenAI and going bold with Agentic.The mandate to adopt Agentic Commerce is firm.But here is the Paradox:
the conviction is high (much more than before) but the complexity of implementation is extreme (much more than before, too).
Today, the main challenge is execution.This shift is not a new app; it’s a foundational platform change, and we're attempting to integrate it into an organization still dealing with the unfinished business of the last digital transformation.One of the biggest friction points for CPG companies is the overlapping work of the past decade, for example, in the Digital Shelf transformation.
We are successfully breaking down silos to manage e-commerce, but we're also still dealing with deep organizational and data complexity.We need to sustain momentum. We must sustain complex efforts for the existing reality while the market evolves rapidly: teams are at capacity, but we are also preparing ourselves for what's next.The execution challenge isn’t a lack of faith in AI, but the sheer scope of change required across the entire enterprise.

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Universities are the silent engine of AI Enterprise Transformation

^{November 2025}

When I look back at my university years, and when I look ahead to the new generation of talent, I realise something simple: universities might be the most silent, underestimated engine of AI enterprise transformation.At university, you have a unique luxury.
You can think like a general manager before even becoming one.
You can play with strategy, creativity, and every business lever with total freedom, without deadlines, budgets, or KPIs chasing you.Then you graduate, enter the real world and…
...Spreadsheets open, creativity shrinks, operational tasks take over.
It’s a moment we all know.
And yet, the irony is that what you learn at university shapes your path and the speed at which you grow.Today this dynamic is being reshaped.In my generation, we learned by doing: we built critical thinking and gained experience by actively creating, analyzing, and making decisions.With AI taking over many of these foundational tasks, who will learn to read a P&L because they built it, conduct a business review because they prepared the analyses themselves, or evaluate a media campaign because they set up every element of the brief?If there is a paradigm shift in how juniors learn, by experimenting, making mistakes, and figuring things out on their own rather than constantly asking an AI assistant how to do everything, then there is also a potential risk for how we will develop skills for the seniors of the future.We are facing a new career model, and we’re not fully ready for it.I saw this shift clearly in the master program I taught last week in the Master in Food Marketing at Cattolica University.

I gave students a simple brief:
“Treat AI as a real teammate. Think with it, work with it, and delegate every operational task you can so you can focus on critical thinking and strategy.”The result surprised even me.
In just one week, they produced work that would have taken us months back in my university days.
The speed was incredible. The quality was extremely high. And the students were genuinely excited to work in a hybrid human + AI team.I believe that today the connection between universities and companies matters more than ever. We need to forge a new generation of talent: people who will follow a completely different path from the one I had, and who must learn skills that didn’t exist when I started working.We need to prepare universities. We need to prepare managers. And we need to create learning environments that evolve as fast as the tools evolve.It's a new pact between universities and companies: to prepare talent for problems that don’t exist yet.Because AI changes tasks, but humans set the direction.

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