Business area digitalisation analysis

Marketplaces and trading platforms: digitalisation opportunities

Management of multiple sellers, offerings, catalogue, transactions, payments, delivery, reputation and risk within a single scalable platform operating system.

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.

high
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.

96/100
Biggest challenge
Seller onboarding is slow and inconsistent
Biggest opportunity
Seller and offer operating system

A marketplace can only grow sustainably when a new seller and a new offer do not create proportionally more manual work and risk.

How marketplaces and trading platforms work

The business area encompasses multi-vendor marketplaces, category aggregators and other platform models in which the operator manages the transaction infrastructure, rules, trust and settlements, but does not necessarily hold inventory itself.

Two-sided or multi-sided network

The platform must simultaneously create value for the buyer, seller and often logistics and payment partners.

Scale depends on automation

Growth in supply must not proportionally increase the number of catalogue, risk and customer service staff.

Trust is the core infrastructure

The customer purchases from an independent seller, but evaluates the platform based on the security and outcome of the entire transaction.

The financial event is more complex than payment

Commissions, returns, compensations, reserves and payouts must be accurately linked to the transaction flow.

Market and technology context

Marketplace competitive advantage is determined not only by audience size. Long-term value is created by catalogue quality, reliable seller onboarding, fast dispute resolution, secure payments and the ability to manage the risk of illegal or misleading offers.

  • Regulatory platform responsibilityGrowing expectation to verify sellers, manage prohibited goods and be able to trace decisions.
  • Supply quality competitionA large number of offers creates no value if the catalogue is duplicated, data is poor or delivery promises are unreliable.
  • AI-driven product discoverySearch and external purchasing assistants require structured, reliable and machine-readable offers and rules.

Typical operating chain

01

Seller application and verification

Identity, company, bank, tax, contract and category authorisation data are collected.

02

Catalogue and offer upload

Seller products are normalised, matched to the catalogue, verified and published.

03

Search and offer selection

The customer compares price, availability, delivery time and seller quality signals.

04

Transaction, payment and fulfilment

The platform confirms the order, manages payment, delivery statuses and seller commitments.

05

Return, complaint or dispute

Evidence is collected, platform rules are applied and an auditable decision is made.

06

Settlement and seller performance management

Commissions, compensations, payouts, KPIs are calculated and restrictions are applied where necessary.

Digital maturity pathway

0

Manually managed platform

Sellers and offers are accepted via files, whilst payment, dispute and catalogue exceptions are managed in separate queues.

1

Basic transaction platform

Catalogue, order and payment operate, but seller verification, settlements and risk involve many manual steps.

2

Standardised seller processes

Seller onboarding, offer imports and performance KPIs have clear rules, but exceptions are still fragmented.

3

Integrated platform operating system

The catalogue, transaction, payments, risk, disputes and seller activity are linked by a common object and event history.

4

Data-driven ecosystem Typical current situationSiektina

Ratings, risk, payouts and operational priorities are adapted based on explainable quality and behaviour signals.

5

Adaptive and agent-ready platform

The platform securely serves people and automated purchasing agents, managing risk, quality and rules in real time.

Key finding

Marketplace digitalisation cannot be approached as conventional retail. The platform's primary task is not to manage its own shelf, but to automate offers, transactions, settlements and risk across many independent sellers.

The most practical starting point is the seller onboarding and catalogue quality process, as this is where the information and risk that later flows into search, transaction and settlement is determined.

Related digitalisation topics

Multi-channel commerce platformProduct information managementInventory managementCustomer loyalty system
Next step

Scale the marketplace without scaling manual exceptions at the same pace

Assess whether the largest barrier today is seller onboarding, catalogue quality, risk, disputes or settlements.