Business area digitalisation analysis

Digitalisation of medical, pharmaceutical and health products trade

How to connect regulated customer access, product and batch data, expiry, serial numbers, temperature control, orders and traceability

Digital maturity

Typical digital maturity

Shows the level of technological and process digitalisation at which companies in the sector or business area typically operate today.

A typical market situation is assessed, not the most advanced companies.

The assessment consists of five equally weighted dimensions:

Core system usage
Whether ERP, CRM, WMS, MES, customer portals or other operationally important systems are widespread in companies.
Process digitalisation
How many core processes run in systems and how many are still managed manually.
Systems integration
Whether core systems exchange data between themselves or whether employees transfer information manually.
Data quality and readiness
Whether core data is structured, up-to-date, consistent and suitable for automation and analytics.
Advanced data use
Whether real-time analytics, forecasting, automated alerts, optimisation models or AI are used.

The final score is the average of the five dimensions.

1–5 scale

  • 1 very low maturity
  • 2 low maturity
  • 3 medium maturity
  • 4 high maturity
  • 5 very high maturity

A low maturity score does not necessarily indicate low potential. On the contrary, low maturity and a high level of manual work may indicate significant untapped digitalisation value.

medium
Skaitmenizacijos potencialas

Digitalisation potential

Shows how much significant business value a typical sector or business area company can create by systematically digitalising core processes.

The rating is calculated on a 100-point scale across five dimensions:

Process frequency and scale 20 %
An assessment of how frequently the digitalised processes recur and what proportion of operations they represent.
Manual work intensity 20 %
An assessment of the extent to which processes depend on email, telephone, Excel, paper documents and repeated data entry.
Impact on revenue and costs 25 %
An assessment of the potential effect on sales, margin, customer retention, administrative costs, errors, downtime or inventory.
Growth and scale potential 20 %
An assessment of whether digitalisation would enable operational capacity to be increased without expanding headcount and costs at the same rate.
Impact on decisions and risk 15 %
An assessment of the potential effect on data reliability, decision-making speed, customer experience, and the reduction of errors and operational risk.

The final score is calculated according to the assessments and weights of all dimensions.

100-point scale

  • 0–20 very low potential
  • 21–40 low potential
  • 41–60 moderate potential
  • 61–80 high potential
  • 81–100 very high potential

A high score does not mean the solution will be easy to implement. It indicates the size of the potential value, not the implementation complexity.

84/100
Biggest challenge
Regulated product and document data is fragmented
Biggest opportunity
Regulated digital order and traceability chain

The greatest value is created not by a separate portal, but by an auditable chain of order, batch, serial number, document and delivery, tailored to a specific group of products and customers.

Operating model of the business area

The analysis covers wholesale or mixed trade in medical devices, diagnostic and laboratory products, pharmaceutical products, food supplements and other health products. Rules differ by product group, so the digital solution must support separate control scenarios.

Different control rules for product groups

Medicines, medical devices, reagents, supplements and general health products cannot be managed in the same way.

Importance of batches, expiry dates and serial numbers

Warehouse, delivery, recall and warranty processes must maintain precise links to the specific unit or batch.

Customer purchasing rights may be restricted

Product range and ordering options depend on customer type, licence, contract and product category.

Documentation is part of the product

Certificates, instructions for use, safety, quality and compliance documents must be current and traceable.

Market and technology context

The change in 'Medical, pharmaceutical and health products trade' is driven by the customer expectations, data and supply complexity, margin pressure and the need to manage the entire order and service chain faster, which are most critical in this model.

  • Professional customers' self-service needsClinics, pharmacies and other customers expect to see their assortment, prices, documents, order history and statuses.
  • Importance of traceability and document qualityBatches, serial numbers, product identifiers and document versions must be quickly accessible during audits or recalls.
  • Pressure from expiry and cold chain costsMore precise management of batches, expiry dates, temperature and demand reduces write-offs and exceptions.
  • Integrated service needsSales of medical equipment are increasingly accompanied by installation, training, maintenance, calibration and warranty technical service.

Typical operating chain

01

Product and regulatory data preparation

Managed product codes, categories, documents, storage conditions, batches, serial numbers and customer access rules.

02

Customer registration and rights

Customer type, licences, contracts, user roles, permitted assortment and order limits are verified.

03

Order and control

Individual prices are applied, availability, credit, product restrictions, documents and delivery terms are verified.

04

Batch or unit selection

The warehouse selects an appropriate batch based on expiry, storage requirements, reservations and order rules.

05

Picking, temperature and delivery

Serial numbers, logistics unit, temperature or other control events and proof of transfer are recorded.

06

Return, cancellation and warranty

Product condition, batch, temperature history, customer's right to return, scope of cancellation and resolution documents are managed.

Digital maturity model

0

Manual and fragmented model

Orders, documents, batches and customer rights are managed manually in multiple files and systems.

1

Core operational systems

ERP, warehouse and quality systems are used, but the customer channel, documents, temperature and traceability are not unified.

2

Digitalised individual processes

Individual order, warehouse, document or traceability processes are digitalised, but exceptions are still reconciled manually.

3

Integrated core process Typical current situation

The core regulated order scenario integrates customer rights, products, ERP, WMS, batches, documents and statuses.

4

Data-driven operations Siektina

Decisions regarding expiry, temperature, recall, customer rights and stock are based on real and auditable data.

5

Predictive and safely optimised operations

AI helps extract documents, predict risk and prioritise exceptions, while responsible staff approve final quality and regulatory decisions.

Key finding

Medical, pharmaceutical and health product trading cannot be treated as homogeneous e-commerce. For different product groups, it is essential to model separately customer purchasing rights, batch, serial number, temperature, document and return controls.

The first version should cover one clear group of products and customers for which a complete and secure order scenario can be created from authentication to ERP, warehouse, documents and delivery status.

AI can help extract document data, detect discrepancies and prioritise exceptions, but regulatory and quality decisions must remain explainable, auditable and approved by responsible staff.

Related digitalisation topics

B2B order portalProduct data managementERP integrationDemand forecasting
Next step

Building a secure digital order and traceability chain

The product group rules, customer rights, documents, batches, expiry, serial numbers, temperature exceptions, ERP and WMS integrations will be reviewed and assistance provided in selecting the first version.