Elisabetta Villa

The problem isn’t BI. It’s where you start.

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When a company decides to adopt Business Intelligence software, expectations are high—but projects often struggle to take off.
The reason isn’t the technology. It’s the starting point.

Many BI tools are empty shells. Powerful, yes—but empty. Faced with a blank dashboard to fill from scratch, even well-structured companies get stuck.
No one knows where to begin, which KPIs to choose, or which data to activate first.

You need a consultant, an IT team, weeks of integration. And so, the project drags on, slows down—or worse, stops altogether.

B-AI Semplice was created precisely to overcome this block.
It’s the first ready-to-use vertical Business Intelligence platform designed for logistics.
No blank sheets. No development from scratch.
Preconfigured dashboards, field-tested KPIs, and integrated artificial intelligence that lets you ask questions in natural language and get clear, visual, and immediately actionable answers.

You can ask:

  • Which customer has the highest profitability?
  • What’s the saturation level of your vehicles?
  • How much stock has left a specific warehouse in the past 30 days?

And if your data isn’t yet integrated with your ERP or WMS? No problem.
You can start even with a simple Excel file. The data is recognized, organized, and made available right away.

Behind the platform is the expertise of GEP Informatica, a company that has spent years working inside warehouses and operational flows—not in labs.

Everything you see in B-AI Semplice comes from real needs, encountered in hundreds of projects.
It’s designed for people who make decisions every day—under pressure, with little time and a lot of responsibility.

That’s why the impact is immediate. Because you don’t have to wait months to see something that works.
You start right away, customize as you go, and above all, stop wasting time reinventing what already exists.

In logistics, complexity is inevitable. But analysis doesn’t have to be.

With B-AI Semplice, Business Intelligence is no longer a project to plan.
It’s an ally to use. Now.

Data without decisions. That’s why B-AI Semplice will be at the Global Summit on May 20 and 21

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Everyone says logistics is important. But that is not quite true. Today logistics is not important, it is strategic. When it works, it determines business success. When it does not, it can bring everything down. Is this just an opinion? No. It is what we have seen over the past months by speaking with hundreds of logistics and transport managers. That is our conviction. On May 20 and 21 at the Global Summit, we want to bring that conviction to you with the numbers that confirm it.

The paradox, however, is simple, and you may recognize it. Logistics managers know that data is critical. They know decisions should be based on numbers. They know that rebuilding Excel files every time, pulling data from different and inconsistent systems, and dealing with numbers that change depending on who reads them is not a solution that works.

And yet 62% of them still work this way. Not by choice. Because turning operational data into management decisions requires work that very few companies are able to handle. Integrations, modeling, implementation. Months. Years. And most Business Intelligence projects never even make it into production.

When a conviction meets the right place

The Global Summit is not a trade fair you attend just to be present. It is the event where companies arrive with a specific problem and look for a solution that actually works. It is where logistics directors and managers do not have time for promises. They need answers quickly.

Dati Logistica al Global Summit

Being there means choosing to meet people who experience the gap between data and decisions every day. Not in theory. In practice. When a customer leaves because you cannot see where margin is being lost. When the warehouse does not communicate with transport. When instinct makes decisions because the numbers are not clear.

This is why we will be there for the first time. Not because it was time to “attend another event.” But because our conviction deserves to meet the people who truly understand it. And the Global Summit is the place where those people come to look for solutions.

The number that explains everything

62%. This is not a percentage we discovered today. It is the result of what we observed while developing B-AI Semplice. Hundreds of conversations with logistics managers. Always the same question. “How do you deal with the fact that your data is not usable?”

The answer was always the same. Excel. Rebuilt manually. Data normalized with difficulty. Reconstructed every week. Because no one had found a way to make the data already inside their systems readable, reliable, and usable without months of implementation.

That 62% is not a number we publish to make statistics. It is the reason why we are at the Global Summit. To bring this evidence to the place where logistics managers know exactly what that 62% means.

We are not there to sell. We are there to meet

Business matching at the Global Summit works differently from a traditional trade fair. It is not “come visit our stand.” It is “we scheduled a meeting with you because we recognize your problem.”

This changes everything. It means that when you sit down with us, you can talk about your scenarios. Your real bottlenecks. Your specific challenges. Not about what we usually sell. About what solves your specific case.

Dati Logistica al Global Summit

Because our conviction is not “BI is important.” It is

“BI that works is the one designed for your job, not the one adapted from generic formulas”

What it means to be present at the Global Summit

For us, it means being visible in the place where people who have the problem know they need to look. It means telling that 62% there is another way forward. Not the long implementation path. The simple one. A Business Intelligence solution that does not require six months before becoming useful. One you can use immediately.

For you, it means discovering that your problem is not isolated. That other companies in your field are looking for the same answers. And that on May 20 and 21 in Lazise you can compare solutions, ask direct questions, and see what actually works.

The Global Summit is the place where conviction meets practice. Where problems meet solutions. Where numbers finally start to respond.

Let’s talk about it on May 20 and 21 in Lazise.

Book your spot!

If your data could speak, it would tell you where you are losing money

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Find out on May 21 at the Global Summit

Every day your logistics leaves precise traces. Incoming orders, outgoing shipments, costs accumulating, margins shrinking.

The issue is not that data is missing. The issue is that it remains locked inside systems.

WMS, TMS, and ERP do their job perfectly. They record, track, execute.
But when it comes to making decisions, everything changes.

You need simple answers to very concrete questions.

  • How much does it really cost to serve this customer?
  • Which routes are destroying margin?
  • Where am I losing efficiency in the warehouse?

And that is where the problem begins.

Because turning operational data into decisions requires time, expertise, integrations, and multiple files to be rebuilt from different sources, each using its own logic and its own KPIs.
In the meantime, decisions are still made. But without data.

What happens when data is already ready

On May 21 we will be at the Global Summit Logistics & Supply Chain in Lazise.

We are bringing something very simple. A Business Intelligence solution that you do not build. You switch it on.
This is not a slogan. It is a change of approach.

We start from a reality we know very well.
We have worked on hundreds of warehouses and transport projects. We know which KPIs really matter. That is why we do not start from the data. We start from the questions.

During the presentation you will see what happens when the data you already have becomes operational and management dashboards in just a few minutes.
Without long projects, without complex structures, without depending on IT for every answer.

Four scenarios that change decisions

You will not see theory. You will see real cases.

Where margin is lost in transport
Those small differences that are not immediately visible. 150 or 200 euros per shipment.
Multiplied by hundreds of trips, they become a serious issue.
In the demo you will see how to identify them immediately, by customer, route, and carrier.

The real saturation level of the warehouse
Not cubic meters filled, but space actually used.
You will understand whether operations are running efficiently or whether hidden bottlenecks exist in picking or loading bays.

Carrier performance
Costs, punctuality, reliability.
All the data you currently cross-check in Excel, already available in a single view.

The real service level
Delays, complaints, customer issues.
Not after it is too late, but while they are happening.

Why attend the Global Summit

The Global Summit is not a brochure-style trade fair. It is a place where real problems are discussed.
If in recent months you have found yourself in one of these situations, this presentation is for you:

  • You have the data but cannot use it to make decisions
  • You have tried BI solutions that were too long or too complex
  • You need to understand where you are losing margin, not in six months, but now

Then come and see what changes when BI is not a project. It is a tool that works from day one.

See it live

On May 21 at 11:00 at the Global Summit Logistics & Supply Chain in Lazise, Hotel Parco dei Principi, Verona

Bring your numbers. Bring your questions. We will show you what happens when data stops being a problem and starts giving you answers.

Book your spot!

Global Summit 2026: AI enters logistics operations

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At the Global Summit Logistics & Supply Chain 2026, we presented B-AI Semplice to a packed and highly engaged audience. It was a clear signal: professionals managing logistics and transport already have the data, but they finally want to use it to make better, faster, and simpler decisions.

What impressed us most during our presentation was not only the number of people attending, but the quality of the attention, the questions, the discussions that immediately followed, and the number of people who came to our stand afterward to learn more.

For us, that was the strongest signal because it means this topic is no longer perceived as a technological trend, but as a very concrete operational and management issue.

Logistics and transport companies are not starting from scratch. They already have WMS, TMS, ERP systems, reports, Excel files, data exports, warehouse data, transport data, and administrative data. The real issue is that this data is often not immediately available in the right format for decision-making.

And when a decision requires three exports, two Excel files, a discussion with IT, and half a day of manual reconstruction, the problem is not the lack of data. The problem is the distance between the data and the decision.

The need we identified 

During our presentation, we talked exactly about this. About logistics managers trying to understand where efficiency is being lost. About transport managers who want to read costs, margins, routes, vehicle saturation, and carrier performance without having to rebuild the entire picture from different sources every time.

About companies that do not want another endless Business Intelligence project, but a tool already designed to read logistics processes.

The reality is that logistics professionals do not need to start from a blank page every time. They should not have to reinvent every KPI, every data model, every management view, and every operational dashboard from scratch.

They need answers to questions they already know very well:

  • How much does it really cost to serve a customer?
  • Where are margins being lost?
  • Which routes are less sustainable?
  • Which carriers are performing best?
  • Which warehouse areas are slowing down the flow?
  • Which customers absorb more resources than expected?

The value of B-AI Semplice is not only in the technology itself. The real value comes from the combination of software development expertise and deep vertical knowledge of logistics and transport processes.

Behind B-AI Semplice there is the experience of a software company that has worked exclusively in logistics and transport for almost 40 years. We do not develop generic software later adapted to logistics. We work inside this industry every day, with its constraints, exceptions, urgencies, and operational dynamics. This means we have seen firsthand how data actually moves, where it stops, where it gets duplicated, where it becomes difficult to interpret, and where it can instead generate immediate value.

We know which KPIs truly matter to those managing warehouses and transport operations. We also know how difficult they are to obtain when data is spread across different systems designed to execute operational processes, not to automatically generate management insights.

And this is where a vertical BI solution makes the difference. Because it does not start with the question “What dashboard do you want to build?” but with a much more concrete one: Which decisions do you need to make every week, and which data do you need to make them better?

Discussions at the stand

After the presentation, many people came to the stand to take a closer look at the solution, share their own cases, ask questions about available data, existing systems, and integration possibilities. The Global Summit confirmed that we are moving in the right direction.

Companies are not looking for yet another tool to add to the list. They are looking for a simpler, faster, and more reliable way to understand what is happening inside their processes.

  • They want to know where efficiency is being lost.
  • They want to understand which customers generate more workload than expected.
  • They want to measure service levels, not just describe them.
  • They want to protect margins with clear data.
  • They want to move away from manually rebuilt files.

And above all, they want to do this without turning every question into a long, expensive, and complex project.

The full room, the participation during the presentation, and the in-depth discussions at the stand tell us something very simple: the need exists, it is concrete, and it is far more widespread than many people think.

That is why we will continue working on B-AI Semplice with one precise goal: bringing Business Intelligence where it is truly needed, inside the daily decisions of logistics and transport professionals.

Because the data already exists inside companies. Now it is time to make it work better.

When BI stops being an IT project and becomes an operational tool

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The scene is almost always the same.
The data is there—it comes from the WMS, the TMS, the ERP, and from Excel files no one dares to touch anymore.
Someone has even built dashboards—maybe nice to look at—but when a real answer is needed, that answer doesn’t arrive. Or it arrives too late.

Business Intelligence stays there, locked inside a technical perimeter, managed by IT or an external consultant, far from the people who have to make decisions every day.
The logistics manager looks at the numbers but can’t immediately understand where the problem is. Transport costs increase, but it’s not clear why. The warehouse slows down, but the charts don’t tell the story.

At that point, BI stops being a working tool and becomes just another IT project—technically correct, but disconnected from real operations.

The problem isn’t the data, but how it’s turned into charts

This is where the real issue emerges.
Data is not missing—if anything, there’s too much of it.
The problem is that it’s turned into charts designed for the people who build them, not for those who need to read them.

Crowded histograms, endless tables, KPIs all treated the same way, colors that don’t help distinguish what matters from what’s just noise.
The result is paradoxical: the more numbers there are, the less clarity you get.

People working in logistics and transport aren’t looking for elegant reports. They’re looking for fast answers.
Where am I losing time? Where am I overspending? What has changed compared to last week?

When charts don’t help answer these questions, BI stops guiding decisions and turns into a simple reporting exercise.

When BI becomes an operational tool

The turning point comes when Business Intelligence stops being built around data and starts being built around decisions.

Dashboards are no longer designed to show everything, but to immediately highlight what really matters in logistics and transport.

A few key indicators, readable at a glance, designed for day-to-day operations: order fulfillment times, transport costs, warehouse saturation, delivery punctuality.

Numbers that speak the language of people working in the field.

At this point, BI becomes a real working tool again—not a one-off project.
Dashboards are opened every day, not just at the end of the month, because they help understand what’s happening and where to act immediately.

This is where data visualization stops being aesthetic and becomes functional.

The creator user as a driver of autonomy

The real leap forward happens when BI no longer depends on someone who “builds the charts,” but on those who know the processes.

With the creator user, the platform isn’t just used to view predefined data—it allows dashboards to be expanded and adapted autonomously.
No code to write. No tickets to open. No weeks of waiting.

Those managing logistics and transport can add a view, drill into an anomaly, cross different datasets the moment a question arises.
BI becomes as flexible as the business it supports.

It’s no longer an advanced feature reserved for specialists—it’s an operational tool that grows with the company.
And that’s when data stops being just numbers and truly starts driving decisions.

Business Intelligence and AI in logistics. The real trends toward 2026 seen from the decision-making table

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1. Monday morning meetings are no longer a formality

At exactly nine o’clock, the operations director opens the weekly meeting. On the table there are reports, Excel files, a few charts. Volumes are stable, deliveries are on track, complaints are under control. Yet margins have dropped again. No one can say exactly why. Some mention overtime, others a few more urgent requests, others increasingly demanding customers. All plausible explanations, but none verifiable at that moment. The data exists, but it arrives late, or it does not arrive together.

Figures from the Contract Logistics Observatory help explain why this scene is repeating more and more often. Real market growth is around +0.3%, while labor costs are rising by +4.4%. This means that even a company that is “doing a good job” can see its margins erode without clear warning signs. No crisis is needed, just a series of micro-decisions made without a clear understanding of their economic impact. Looking toward 2026, the real risk is not working less, but working blind. In a context like this, Business Intelligence is not meant to prove what happened, but to understand what is happening while it happens.

2. When complexity increases, data starts to contradict itself

After growth through acquisitions, the organization is larger, but not yet unified. Each warehouse has kept its own tools, each transport office its own habits. Definitions sound the same, but they are not truly the same. “Order fulfilled”, “on-time delivery”, and “productivity” change slightly from one site to another. No one does it on purpose, it just happens. The problem emerges when those numbers need to move up to a management level.

Industry consolidation, with dozens of acquisition and merger operations every year, is multiplying this situation. More structures mean more data, but also more versions of the truth. The result is that meetings start by talking about numbers and end by talking about numbers, without reaching decisions. Operational Business Intelligence is born right here, not to add another layer of reporting, but to create a shared language. When data is not comparable, complexity grows faster than the ability to manage it. Toward 2026, this asymmetry will become one of the main obstacles to sustainable growth.

3. AI enters the scene when uncertainty becomes too expensive

When people talk about Artificial Intelligence, the most common idea is that of a system that makes decisions instead of people. In real operational contexts, the opposite happens. AI is adopted when people have to make decisions too often, with too many variables and too little time. It is no coincidence that today AI is mainly applied to order management and demand forecasting, both accounting for 14% of use cases. Here, mistakes are not abstract. They mean wrong shifts, underutilized vehicles, missed delivery windows.

The Observatory shows that 81% of companies that have adopted AI solutions report concrete benefits, and only 11% talk about replacing human labor. The interesting point is this: AI does not remove decision responsibility, it removes noise.

BI e AI nella logistica operativa

It reduces unnecessary variables, highlights recurring patterns, and makes anomalies visible that would otherwise emerge too late. Toward 2026, AI will not be a distinctive element to talk about, but a silent component of everyday Business Intelligence. It will not make headlines, but it will make the difference.

4. The moment when data stops being numbers and becomes choices

At the end of the month, when final reports arrive, it is already too late to correct many decisions. Cost per order has increased, but shipments have already left. A customer is eroding margins, but service has been guaranteed for weeks without clear warning signs. This is where the limits of a BI designed only to look backward become clear.

With energy costs rising and margins under pressure, deciding late means losing value. Operational Business Intelligence exists for this reason: to make data readable while processes are still running. Not to control, but to choose. Knowing today that a route is going out of control, knowing now that a line is losing efficiency, knowing immediately where to intervene. Toward 2026, the most mature companies will no longer ask what data they have available, but which decisions they can make right now. At that point, BI and AI stop being tools and become part of the way of working.