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Data & AI for pharma supply chain

Your supply chain already has the answers. We turn them into decisions.

Every link generates data. We unify it, activate it with AI and hand it back to you as decisions. The technology proposes; you decide.
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See how we do it

Our approach

Some challenges have been in your chain for years. They can be solved.

They are not still there for lack of effort, but because solving them takes uniting three things: your data, AI and sector knowledge. Exactly what we do.

01

Data and AI, on the same team

Data orders your reality; AI gets ahead of what is coming. Together, they turn information into decisions.

02

Anticipate, don't react

You see the stockout, the deviation or the expiry coming, with room to act. So the fire never even starts.

03

Compliance, built in

GDP, serialization, traceability and GxP by design. The technology moves forward hand in hand with the regulation.

04

The knowledge stays with you

We train your team to operate independently. Our best result: that you decide on your own.

From factory to pharmacy, a single version of the truth.
And on top of it, decisions that get ahead.

What we solve

Every challenge, with a concrete solution

We turn the data you already generate into decisions, measured with your own indicators. We start where it has the most impact.

The challenge

A stockout almost never warns you. You find out when the wholesaler complains or the product is already off the shelf, and by then all that is left is managing the emergency.

The solution

We cross real demand, stock, replenishment lead times and active ingredient availability continuously. AI detects the risk before it materializes and prioritizes where to act, so your team can move with days of margin, not hours.

OOS rate · Fill rate

The challenge

The forecast drifts every close and it is hard to explain why. Seasonality, tenders and demand peaks do not fit in a spreadsheet, and S&OP ends up planning on orders, not on real demand.

The solution

We build a forecast at SKU-region level that learns from real sell-out and external signals, and we integrate it into your S&OP. Fewer surprises at the close and a single demand figure that sales and operations share.

MAPE · Forecast bias

The challenge

Your loggers record millions of temperature readings, but they live in files that only get looked at once there is already an excursion. The evidence exists; the hard part is exploiting it in time.

The solution

We bring your loggers and cold equipment data into a single view, with automatic deviation detection and the evidence ready for a GDP inspection. The cold chain stops being a box you open after the incident.

Cold chain incidents

The challenge

Following a batch end to end or preparing an audit turns, every time, into a manual operation that eats up days of your quality team.

The solution

We govern the traceability and serialization data so that following any batch and responding to an inspection is a matter of one query, not a project. Traceability stops being a burden and becomes a capability.

Audit response time

The challenge

Product nearing expiry scatters across warehouses, branches and channel. By the time it is spotted, there is no time to place it, and the shrinkage is written off as inevitable.

The solution

We give visibility of expiry dates and rotation by product and location, and prioritize outflows on a FEFO basis. AI flags at-risk stock in advance so you can move it while it still has shelf life.

Shrinkage % · Obsolescence

The challenge

Manufacturing, logistics and commercial each work with their own version of the figures. Every meeting starts by arguing which number is the right one, instead of which decision to make.

The solution

We create a single source that connects demand, stock and distribution end to end. Everyone decides on the same data, and end-to-end visibility stops being a perpetual project to become your day-to-day.

OTIF

How we do it

A method, not a promise

In phases, uniting data and AI, with a measurable result from the first deliverable.

01

We clean up your sources

Sell-out, stock, lead times and master data. We normalize, reconcile and clean.

You take away: a clear diagnostic of your data quality.

02

We build the single source of truth

Governed, traceable data that connects the chain, with GxP and GDP as a foundation.

You take away: a reliable base so everyone decides on the same thing.

03

We anticipate with supervised AI

SKU-region forecast and alerts for stockout, expiry and deviation. AI prioritizes; you decide.

You take away: actionable warnings before the problem arrives.

04

We measure and drive adoption

Dashboards with your KPIs and training so your team runs on its own.

You take away: measurable impact and a capability that stays in house.

Where do we start?
With the challenge that has the most impact.

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Compliance

Regulation, built in from the design

In pharma, compliance does not come at the end. We put it at the starting point of every solution.

GDP

Compliance in every shipment

Temperature, traceability and transport conditions across the whole distribution.

Serialization · FMD/EMVS · DSCSA

Every unit, verifiable

Data ready for verification in Europe and the traceability required in the US.

ALCOA+ · 21 CFR Part 11

Data with integrity from the source

Data integrity with audit trail and electronic signature in controlled environments.

GDPR

Privacy by design

Compliant processing and access control, with data governance.

GxP · ICH Q10

The sector standard, built in

Aligned with GxP guidelines and with EMA, FDA and AEMPS.

AI governance · EU AI Act

Reliable, governed AI

Explainable, supervised and traceable models from end to end.

Case studies

What changes when data and AI work in your chain

Examples of application in pharma supply chain.
Pharma

A Data Lakehouse to unify and govern a pharma company’s data

A pharmaceutical company is replacing its data silos with a lakehouse architecture, which serves as the foundation for advanced analytics and artificial intelligence.
Read the case study
Pharma

HCP Omnichannel Dashboard for a Pharmaceutical Company

A pharmaceutical company consolidates all of its omnichannel interactions with healthcare professionals into a single dashboard to make better decisions.
Read the case study
Pharma

Automated pharmacy sell-out: real demand, ready for AI

A pharmaceutical company uses AI to automate document processing and transforms pharmacy sell-out data into actionable analytics.
Read the case study

F&Q

What you need to know

When data analytics and AI work together, the supply chain in the pharmaceutical industry moves from reacting to anticipating. The data each link already generates (demand, stock, lead times, temperature) is unified into a single reliable source, and AI turns it into forecasts and early alerts. The result: fewer stockouts, less shrinkage and decisions made with judgment. At BertIA, an AI consultancy based in Barcelona, we build that foundation with compliance from the design.
A more reliable and explainable demand forecast. By analyzing real sell-out, seasonality and market signals, the forecast comes down to SKU and region level and integrates into the S&OP process. Sales, operations and manufacturing plan on a single demand figure, with fewer surprises at each close.
Governed, traceable data turns compliance into something everyday, not a one-off effort. Serialization, batch and cold chain information is unified and available, ready to respond to a GDP or GxP inspection with agility. Traceability stops being a burden and becomes another capability of the chain.
By putting the data in order and choosing the challenge with the most impact. A good starting point is a diagnostic that assesses the quality of the sources and detects where there is most room (stockouts, forecast, cold chain or end-to-end visibility). From there, work proceeds in phases, with measurable results from the first deliverable.

A short session with our team

We review your situation and tell you where we would start and what impact is realistic to expect.

Where you have the highest stockout risk today

What you are missing in your data to exploit it

The first use case with the most impact for you

Fill in the form, designed for supply chain, demand planning and operations leaders in pharma.
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