Digitalisation of building and finishing materials trading
How to integrate technical product data, project quotations, customer pricing, stock levels and site delivery
Digital maturity
medium
Skaitmenizacijos potencialas
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
Problemos
Most common digitalisation challenges
The most significant gaps arise where technical requirements must be converted into a specific, correctly priced and logistically executable order.
Technical product data and documents are fragmented
Critical
Product specifications, packaging, certificates, installation instructions, images and supplier codes are stored in ERP, supplier files, website and employee catalogues.
Consequences
Product search and quotation preparation slows down, customers receive incomplete information, and channels may display different data.
Project quotations are prepared manually
Critical
Material lists, technical specifications and customer requirements are retyped into spreadsheets, whilst prices, stock levels, margin and delivery are checked separately.
Consequences
Quotation preparation takes time, versions and errors multiply, and the slower-responding company loses some of the enquiries.
Individual prices and margin are managed inconsistently
Critical
Customer, project, volume and supplier discounts are coordinated in ERP, spreadsheets, email or according to the sales manager's available information.
Consequences
Incorrect prices, unplanned discounts, insufficient margin and disputes between quotation and final order arise.
Stock levels and availability at different locations are unclear
Critical
Physical, reserved, in-transit and project-allocated quantities are not always visible in one place, and supplier availability is checked manually.
Consequences
An unfeasible deadline is promised to the customer, goods are reserved late, or the order is split into costly deliveries.
Product selection depends on individual specialists' knowledge
High
Compatibility, assembly, quantity and substitute rules are not structured, so the decision depends on an experienced sales manager or technical consultant.
Consequences
Service quality is inconsistent, it is difficult to train new employees, cross-selling opportunities are missed, and the risk of unsuitable products increases.
Quotations, orders and deliveries for a single project are not linked
High
A large project is split into several quotations, orders, warehouses and deliveries, yet the system lacks a unified project structure and budget.
Consequences
It is difficult for the customer and sales manager to see fulfilment, remaining budget, ordered materials, changes and project profitability.
Delivery to site is calculated and agreed separately
High
Transport type, weight, dimensions, unloading equipment, location, time window and multi-warehouse picking are not included in the quotation process.
Consequences
Delivery costs are assessed too late, margins decrease and the site experiences delays or unplanned partial deliveries.
Returns, claims and documents are managed through multiple channels
Medium
The customer asks the account manager for technical documentation, invoices, proof of delivery or return reconciliation, and information is passed between departments by email.
Consequences
Service workload increases, claim resolution takes longer and it becomes difficult to analyse recurring product or delivery issues.
Opportunities
Greatest digitalisation opportunities
Digitalisation of a single project quotation scenarioVery high impactFor one customer group and several priority categories, connect the enquiry, product data, pricing and margin rules, quotation versions and transfer to ERP.Faster conversion of quotations into profitable orders
Unified technical product data foundationVery high impactCentralise product properties, documents, units of measurement, packaging, compatibility relationships and classification so that all sales channels use one reliable source.Faster search, fewer errors and preparation for digital product data
B2B customer and construction site self-serviceHigh impactProvide the customer with an individual catalogue, prices, quotations, orders, site structure, documents, stock levels and delivery status.Lower servicing effort and greater customer loyalty
Digital product selection and configurationHigh impactCreate rule-based wizards, quantity calculators, system kits, substitute and complementary product recommendations.More consistent consultation quality and higher order value
Multi-warehouse inventory and site delivery managementHigh impactAt quotation stage, evaluate reservation, supply, redistribution, transport capacity, dimensions, unloading and site time window.More reliable deadlines and better order margin
Profitability analytics for projects, customers and categoriesHigh impactLink quotation, discount, purchase cost, transport, returns and actual order data and view results by site.More accurate commercial decisions and margin protection
Biggest opportunity
Digital project sales and order chain
The greatest opportunity is to link customer enquiries or material lists, technical product selection, individual quotations, project pricing, stock levels, reservations and delivery in one system.
Shorter quotation preparation time
Higher quotation conversion to orders
Fewer incorrect products and quantity errors
Better control of individual pricing and margins
Greater share of B2B self-service and repeat orders
More accurate reservation and delivery to construction site
Expected business impact
Quotation speed and conversionAutomatic collection of pricing, product, stock and delivery data enables faster submission of a more accurate quotation and increases the likelihood of winning the order.
Margin protectionUnified pricing, approval and transport cost rules reduce unplanned discounts and situations where project profitability only becomes apparent after delivery.
Sales team capacitySelf-service, repeat orders and a digital quotation process reduce administration and allow more time to be dedicated to technical consultation and client development.
Order accuracyStructured technical data, compatibility rules and quantity calculators reduce errors involving unsuitable products, packaging and quantities.
Inventory and logistics efficiencyVisible availability, reservation by location and delivery planning reduce urgent reallocations, the number of partial shipments and unfulfilled promises.
Customer loyaltyThe history of sites, offers, orders and documents in one place makes the merchant a more convenient long-term partner for a professional client.
Data and compliance readinessPIM, standardised classification and document control form the basis for BIM, digital product passports and reliable information provision.
Sprendimai
How to solve these problems
Solution directions linked to specific business area problems they address.
Problema
Project offers are prepared manually
→
Sprendimo kryptis
B2B client and construction site portal
A portal with individual catalogue, pricing, offers, orders, sites, documents, inventory, collection and delivery statuses and quick repeat purchase.
Problema
Individual prices and margins are managed inconsistently
→
Sprendimo kryptis
B2B client and construction site portal
A portal with individual catalogue, pricing, offers, orders, sites, documents, inventory, collection and delivery statuses and quick repeat purchase.
Problema
Inventory and availability across different locations is unclear
→
Sprendimo kryptis
B2B client and construction site portal
A portal with individual catalogue, pricing, offers, orders, sites, documents, inventory, collection and delivery statuses and quick repeat purchase.
Problema
Offers, orders and deliveries for a single site are not linked
→
Sprendimo kryptis
B2B client and construction site portal
A portal with individual catalogue, pricing, offers, orders, sites, documents, inventory, collection and delivery statuses and quick repeat purchase.
Problema
Returns, complaints and documents are managed through multiple channels
→
Sprendimo kryptis
B2B client and construction site portal
A portal with individual catalogue, pricing, offers, orders, sites, documents, inventory, collection and delivery statuses and quick repeat purchase.
Problema
Technical product data and documents are fragmented
Product search and quotation preparation slows down, customers receive incomplete information, and channels may display different data.
→
Sprendimo kryptis
Product information management system
Centralised management and publishing of technical specifications, packaging, units of measurement, certificates, declarations, images, BIM objects and classification to all channels.
Recommended digital solutions
Solutions must be built as a single architecture: PIM manages technical product data, ERP handles commercial and accounting rules, whilst client and employee interfaces use the same offer, inventory and order data.
B2B client and construction site portal
A portal with individual catalogue, pricing, offers, orders, sites, documents, inventory, collection and delivery statuses and quick repeat purchase.
Product information management system
Centralised management and publishing of technical specifications, packaging, units of measurement, certificates, declarations, images, BIM objects and classification to all channels.
Project quotation and pricing system
A configure, price, quote (CPQ) solution that manages enquiries, material items, pricing and margin rules, alternatives, quotation versions, approvals and conversion to ERP order.
Product selection, quantity and kit wizards
Rule-based tools that help select a system, calculate quantities and add necessary accessories based on the work performed, area, structure or technical parameters.
Multi-warehouse reservation and delivery planning integration
A solution that links available and reserved stock, supplier lead times, redistribution, transport type, weight, unloading, delivery window and actual status within a single order state.
Commercial and project profitability analytics platform
A data layer that links enquiries, proposals, discounts, purchase cost, transport, returns and actual sales by customer, project and category.
When the investment is justified
Investment justified
Account managers spend a significant portion of their working time checking quotations, prices and stock levels
The company receives many recurring B2B enquiries or bills of materials
The product range has many technical attributes, documents, packaging types and units of measure
Customer prices and project discounts are individual
Operations are carried out through multiple warehouses, points of sale or supply sources
Large orders are split into multiple deliveries and project phases
The ERP has integration capabilities, but the customer and quotation process remains manual
Management is prepared to appoint product data owners and change the account manager process
Reikia atsargumo
Product attributes, units of measure and documents lack clear quality rules
Pricing relies on informal individual decisions that cannot be replicated
There is an attempt to digitalise all product categories and customer segments at once
The first version is planned as a catalogue without quotation and ERP order integration
No pilot customer segment and real project enquiries have been selected
The assumption is that AI will replace technical consultants before product data has been sorted out
Warehouse and transport data do not allow reliable calculation of availability or delivery time
Ideal first version
The first version should digitalise one frequent professional customer scenario: the customer logs in, sees their prices and technical data for selected categories, creates a site enquiry or uploads a product list, receives a quotation prepared by the manager, approves it, and the quotation becomes an ERP order without re-entry.
Client Authentication and Project Creation
The client manages its users, creates a construction project and assigns enquiries, quotations and orders to it.
Individualised Catalogue and Technical Data
Client pricing, technical specifications for priority categories, documents, packaging and units of measure are displayed.
Submission of Enquiry or Bill of Materials
The client selects products, uploads a structured list or submits an enquiry with project information and deadline.
Digital Quotation Preparation
The manager uses ERP pricing, stock levels and product data, manages versions, alternatives, margins and approvals.
Quotation Review and Approval
The client views line items, pricing, documents, preliminary delivery dates and can approve all or an agreed portion of the quotation.
Conversion to ERP Order
Approved line items are transferred to the ERP without manual re-entry, and the order number and status are returned to the portal.
Process Analytics
Quotation time, conversion rates, manual corrections, active clients, order errors and margins are measured.
Kam pirmiausiaActive purchasers from contractor and tradesman companies · B2B Sales Managers · Technical Product Consultants · Order Administration Staff · Sales and Commercial Directors
What not to include in the first versionFull Assortment and All Product Categories · Automated Recommendation of Complex Construction Solutions · Full BIM Model Exchange · Analysis of Technical Specifications Without Human Approval · Full Route Optimisation and Driver App · All Types of Returns and Claims · B2C Interior Visualisation Features
Investment priorities
Product data and classification foundationDefine mandatory attributes, units of measure, packaging, documents, compatibility relationships and data owners, as without these neither self-service nor selection wizards will function.
Digitalisation of project quotations and pricingConnect enquiries, prices, margin rules, stock levels and quotation versions so that the most common commercial process no longer depends on spreadsheets.
B2B customer and project self-serviceEnable customers to view and repeat quotations, orders, documents and information for a specific construction project.
Stock reservation and delivery integrationUse real multi-warehouse, supply and transport conditions in quotations and orders, and see actual fulfilment.
Selection automation and advanced analyticsOnly after product and commercial data has been organised should rule-based wizards, AI document analysis and detailed project profitability analytics be implemented.
Key implementation conditions
The product data model must be created according to real categories
A uniform list of attributes for the entire range will not work: insulation, fasteners, tiles, paints and roofing systems require different properties and validation rules.
Units of measurement and sale must be unambiguous
It is necessary to consistently link unit, package, metre, area, volume, weight and pallet with pricing, quantity calculation, stock and order.
The stock visible to the customer is not simply the ERP warehouse figure
It is essential to define reservations, project requirements, supplier availability, internal redistribution and the actual date when the entire order can be prepared.
Technical recommendations must have clear boundaries of responsibility
Wizards and AI can help select products, but structural or safety-critical decisions must be confirmed by a competent specialist.
Quotation and order data must remain linked
When changing price, product, quantity or delivery, it is essential to maintain version history and see how the actual order differs from the approved quotation.
Supplier data quality must be managed procedurally
Automatic imports, error reports, responsible employees and minimum data quality criteria are required, not a one-off catalogue clean-up.
Recommended implementation sequence
01
Diagnostics of processes, product data and systems
Establish how an enquiry is converted into an offer and order, where technical data is stored, how prices and delivery are calculated and where manual exceptions arise.
Enquiry–offer–order process map
ERP, PIM, CRM, WMS, e-commerce and transport systems map
Product data quality audit
Pricing and margin rules catalogue
Baseline KPIs
02
First version and data model definition
Select one customer segment, several key product categories and an end-to-end project offer scenario.
Target customer and category boundaries
Mandatory product attribute model
Offer and project data structure
ERP and stock integration specification
Piloting and success criteria
03
Product data and offer foundation development
Create a reliable product information source and digital quotation process with real-time pricing and stock levels.
PIM or product data layer
Supplier data import and validation
Project enquiry registration
Pricing and margin rules
Quotation versions and approvals
Conversion to ERP order
04
B2B portal pilot
Allow selected customers to view their catalogue, prices, quotations, projects, orders and documents and perform the most common actions independently.
Customer authentication and roles
Individual catalogue and prices
Self-service for projects and quotations
Quick repeat order
Order and document history
Usage and process KPIs
05
Reservation, logistics and project execution expansion
Connect the quotation with actual multi-warehouse reservation, supply lead times, partial deliveries and project statuses.
Availability calculation
Reservation by project
Supplier and internal redistribution lead times
Transport and unloading rules
Partial delivery schedule
Customer notification
06
Selection wizards, analytics and AI
Use accumulated reliable data for product selection, specification analysis, substitutes, profitability control and more advanced recommendations.
Quantity and configuration wizards
Alternative and complementary product rules
Quotation and project profitability analytics
AI technical document analysis pilot
BIM and digital product data integration plan
Recommended KPIs
Average project quotation preparation timehrs
Measure the business impact of data, pricing and quotation process automation.
Quotation conversion to orders%
Assess whether faster and more accurate quotations increase the proportion of enquiries won.
Proportion of quotations prepared without manual data re-entry%
Measure the utilisation of integrations and product data.
Product data completeness%
Monitor how much of the active assortment has all mandatory technical attributes and documents for the category.
Proportion of active B2B self-service customers%
Assess actual usage by professional customers.
Proportion of orders placed via digital channel%
Measure how many orders are submitted without manual entry by a manager.
Proportion of price or discount corrections after quotation%
Assess the quality of pricing data and validation rules.
Order line error rateerrors / 1,000 lines
Monitor errors in incorrect products, packaging, quantities and units of measure.
Proportion of orders fulfilled on time and in full%
Measure the reliability of inventory, reservation and delivery planning.
Difference between actual and planned project marginpercentage points
Assess pricing, purchasing and logistics cost control.
Proportion of returns due to incorrect product%
Measure the impact of technical data, consultancy and selection wizards.
Average document retrieval and submission timemin.
Assess the benefits of PIM, document management and self-service.
Key risks
An e-shop is created without project sales logicA standard catalogue and basket does not cover bills of materials, quote versions, individual prices, sites, reservation and delivery coordination.Kaip suvaldyti Design the first version around a single end-to-end professional customer scenario from enquiry to ERP order.
Disorganised product data is migrated to a new channelIncomplete attributes, different units of measure and outdated documents make search, filters and recommendations unreliable.Kaip suvaldyti Start with priority categories, create attribute models, data completeness KPIs and supplier import controls.
Pricing rules are duplicated across multiple systemsPortal, quotation system and ERP prices begin to diverge, and staff no longer know which value is final.Kaip suvaldyti Establish a single source of commercial rules or a clear pricing calculation layer and synchronisation responsibility.
Automated product selection is presented as a final technical solutionUnderestimated project conditions or regulatory requirements may lead to an inappropriate recommendation.Kaip suvaldyti Use clear application boundaries, explained rules, warnings and specialist confirmation for high-risk scenarios.
Customers do not transfer project orders to self-serviceIf the portal does not show real prices, offers, sites and availability, the customer continues to communicate only with the account manager.Kaip suvaldyti Build the portal together with selected customers, import their active sites and offers, and measure the actual share of digital actions.
Logistics costs remain outside the commercial solutionThe offer looks profitable, but partial loads, special transport or unloading reduce the actual margin.Kaip suvaldyti Include transport rules and preliminary cost price at the quotation stage, and compare plan with actual after fulfilment.
Inovacijos
More advanced digital innovations
These directions become valuable once a structured data foundation of products, projects, proposals and orders has been established.
Market expansion3
Integration of BIM catalogues and project specifications
Relevant
Merchant or manufacturer product data is provided as BIM objects and linked to materials specified in projects.
How it is applied Designers can select a product during the design phase, whilst the merchant can link the received specification to proposals, alternatives and availability.
What value can be created
Earlier product inclusion in the project
Less data re-entry
More accurate project enquiries
Better collaboration with designers
What is needed for this to work
Reliable technical product data
BIM object management
Unified product identifiers
Link between specification and commercial catalogue
Medium-termApplied in practice
Visual search for product and finishing alternatives
Relevant
Computer vision based on a photograph or material sample helps find similar alternatives for tiles, flooring, façade, paint or other finishing products.
How it is applied Used in customer consultations, e-commerce and showrooms, where choice is determined by texture, pattern, colour or aesthetic similarity.
What value can be created
Faster search for alternatives
Greater catalogue discoverability
Better customer experience
More sales opportunities when the selected product is unavailable
What is needed for this to work
High-quality product images
Colour and texture attributes
Catalogue API
Human validation rules
Short-term perspectiveCommercial solutions are available
Augmented reality visualisation of materials
Moderately urgent
The customer can visually assess the appearance of flooring, tiles, walls, paint or other finishing materials in their own space.
How it is applied Suitable for finishing categories where choice is strongly influenced by the visual outcome and it is difficult for the customer to decide from a small sample.
What value can be created
Greater confidence in the choice
Lower risk of unsuitable aesthetic choices
Greater remote sales potential
Longer and deeper engagement with the catalogue
What is needed for this to work
High-quality textures and 3D materials
Precise product dimensions
Mobile or web visualisation interface
Clear explanation of visualisation accuracy
Short-term perspectiveCommercial solutions are available
Early stage2
AI-based analysis of technical specifications and bills of materials
Highly urgent
The AI model extracts product requirements, quantities and parameters from PDFs, spreadsheets or other project documents and links them to the merchant's catalogue.
How it is applied Used as a proposal preparation assistance tool that generates an initial product list and marks unclear items or those requiring human verification.
What value can be created
Shorter processing time for large enquiries
Fewer missed line items
Faster selection of alternatives
More consistent proposal structure
What is needed for this to work
Structured product catalogue
Dictionary of technical attributes and synonyms
Data from previously approved proposals
Mandatory specialist verification
Medium-termCommercial solutions are available
Management of construction product digital passport data
Relevant
Centrally managed product performance, compliance, environmental, usage and identification data that can be provided in a standardised digital format.
How it is applied Relevant for importers, distributors and brand managers who need to ensure that information on products placed on the market is accessible and linked to the specific product.
What value can be created
Preparation for regulatory requirements
Reduced document administration
More reliable information for customers
Better product traceability
What is needed for this to work
PIM or master product data management
Document version control
Unique product identifiers
Supplier data collection process
Medium-termApplied in practice
D.U.K.
Frequently asked questions
Where to start with building materials trade digitalisation?
It is worth first analysing one continuous process from client enquiry through to order and delivery. Most often the biggest obstacle is not the lack of interfaces, but fragmented product data, manual quotation preparation and inconsistently managed pricing and stock levels.
Is a standard e-shop suitable for building materials trade?
It suits standard B2C or simple repeat orders, but professional B2B sales often require individual pricing, sites, quotation versions, bills of materials, multi-warehouse stock levels, credit and site delivery rules.
How is a B2B portal beneficial in building materials trade?
The portal allows the client to see their pricing, quotations, sites, orders, documents, availability and delivery statuses. The greatest benefit is achieved when it is directly integrated with ERP, PIM and warehouse systems.
Why do building product data require a PIM system?
ERP is usually insufficient to comprehensively manage technical attributes, documents, images, classification, BIM objects and multi-channel content. PIM enables creation of a single source of product information and control of data completeness.
What is ETIM and why is it relevant to building materials trade?
ETIM is an international technical product classification that defines product classes, properties and their values. It helps to uniformly structure supplier data, create more accurate filters, search and electronic data exchange.
How to automate project quotation preparation?
It is necessary to link client enquiry, product data, pricing and margin rules, stock levels, alternatives, delivery terms and quotation versions. An approved quotation must be convertible into an ERP order without manual re-entry.
Can AI analyse a construction project specification?
AI can extract items, quantities and technical parameters from documents and suggest catalogue matches, but results must be verified by a specialist. Reliability depends on a structured product catalogue, terminology glossary and clear approval rules.
How to prepare for digital product passports in construction?
First, it is necessary to centralise product identifiers, technical properties, compliance and environmental documents, manage their versions and establish a reliable supplier data collection process. Only then can information be consistently presented in the required digital format.
How to display real building materials availability?
Availability shown to the client should take into account not only physical warehouse stock, but also reservations, quantities allocated to projects, supplier lead time, internal redistribution, packaging multiples and the date when the complete order can be prepared.
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.