Business area digitalisation analysis

Digitalisation of building and finishing materials trading

How to integrate technical product data, project quotations, customer pricing, stock levels and site delivery

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.

76/100
Biggest challenge
Technical product data and documents are fragmented
Biggest opportunity
Digital project sales and order chain

The business area has high, though not exclusively maximum, digitalisation potential. The greatest benefit is achieved by digitalising the commercial and information process, however the overall scale effect is limited by physical goods warehousing, transport and the individual nature of some consultations.

Business Area Model

The analysis covers companies trading in structural, insulation, roofing, façade, dry construction, engineering systems, flooring, tiles, paints, finishing and other materials for construction or renovation. It includes B2B, B2C and mixed models, but the primary focus is on professional client and project order processes.

Technically heterogeneous assortment

Product selection is determined by dimensions, classes, certifications, materiality, colours, durability, installation conditions and compatibility with other system elements.

Project-based and recurring sales simultaneously

Part of the goods is purchased regularly, whilst larger orders are formed according to a specific site, work phase or technical specification.

Individual B2B pricing

Prices depend on the client, project, quantity, supplier promotions, delivery, credit terms and manager-approved exceptions.

Multiple units of measurement and sale

The same product can be accounted for in units, packages, metres, square or cubic metres, kilograms and pallets.

Complex project logistics

Delivery depends on weight, dimensions, transport type, unloading equipment, site accessibility, time window and work schedule.

High importance of technical documentation

Declarations of performance, certificates, safety data sheets, installation instructions, EPDs and other documents are part of the sales and compliance process.

Market and technology context

Construction product trade is moving towards structured technical data, self-service and digital collaboration with designers and contractors. ETIM provides uniform technical product classification, BIM data helps integrate products into the design process, and the updated EU Construction Products Regulation envisages a digital product passport system.

  • Professional customer self-service demandContractors and tradespeople expect to view their prices, stock levels, orders, documents and available collection or delivery dates at any time.
  • Technical product data standardisationThe large number of suppliers and attributes increases the value of ETIM, PIM and other unified classification and data exchange models.
  • BIM and early product specificationProduct technical data and BIM objects enable products to be selected at the design stage, allowing merchants to service specification-based enquiries.
  • Digital product passports directionThe EU Construction Products Regulation reinforces the need to manage product performance, compliance and environmental characteristics in digital format.
  • Margin and logistics controlPrice fluctuations, multiple warehouses, heavy goods and site delivery increase the need to accurately assess costs and delivery capabilities at the quotation stage.

Typical value chain

01

Product range and supplier data management

Product codes, technical specifications, prices, packaging, documents, images, classification and delivery times are received.

02

Customer need or project enquiry

The customer provides a list of goods, project, drawing, technical specification, quantities or describes the planned work.

03

Technical product and quantity selection

The manager or consultant selects suitable products, sets, additional materials, substitutes and calculates the required quantities.

04

Pricing and quotation preparation

Customer and project prices, supplier terms, margin, stock levels and delivery are checked, and a quotation version is prepared.

05

Coordination and order confirmation

The customer changes quantities, alternatives or delivery stages, and the confirmed quotation is converted into an order.

06

Reservation and supply planning

Goods are reserved in specific warehouses, ordered from suppliers or distributed between locations according to site deadlines.

07

Picking, collection or delivery

Orders are assembled by project and stage, with transport, unloading, collection time and documents planned.

08

Project servicing and additional orders

Partial deliveries, additional quantities, substitutes, returns, complaints and document submission are managed.

09

Profitability and process analysis

Quotation conversion, project margin, delivery costs, stock turnover, returns and customer activity are evaluated.

Digital maturity model

0

Manual and fragmented model

Product data, project enquiries, quotations and delivery are managed through files, email and employee memory.

1

Core operating systems

ERP, warehouse and trading systems are in use, but technical documents, sites, quotations and logistics remain separate.

2

Digitalised individual processes

Individual catalogue, e-commerce, quotation or warehouse processes are digitalised, but there is no unified project chain.

3

Integrated core process Typical current situation

The core project sales scenario connects product data, site enquiry, customer pricing, stock availability, quotation and ERP order.

4

Data-driven operations Siektina

Decisions on substitutes, reservations, delivery, project margins and categories are based on actual and comparative data.

5

Predictive and safely optimised operations

AI helps analyse specifications, suggest candidate matches and predict risk, whilst technical suitability and pricing exceptions are approved by specialists.

Key finding

In the construction and finishing materials trade, customers often purchase not an individual item, but a solution for a specific job or site. Therefore, the most important digitalisation task is to help quickly select suitable and mutually compatible products, calculate quantities and provide accurate commercial and logistical information.

The typical problem is not the absence of systems, but rather that the ERP knows the price and accounting balance, supplier documents contain technical specifications, the manager has project context, and the client receives all the information through several separate channels.

The first priority should not be a generic online shop, but rather integrated B2B self-service and quotation preparation with reliable product data, individual pricing, site structure and stock levels. More advanced DI and BIM scenarios should only be developed after sorting out product classification and data quality.

Related topics

B2B order portalCustomer self-service portalProduct information managementProject quotation preparation systemERP integrationWarehouse management integrationTechnical product classificationBIM product dataDigital passports for construction products
Next step

Assessing where the journey from enquiry to site delivery gets stuck

Product data, project quotation preparation, pricing, stock levels and logistics will be reviewed to help define a realistic first version of digitalisation.