Business area digitalisation analysis

Raw materials, chemicals and industrial materials trading digitalisation

How to connect technical specifications, customer-approved alternatives, batch quality documents, safety data, pricing, availability and supply risk

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
Technical specifications and product data are fragmented
Biggest opportunity
Digital specification, batch and order chain

The greatest value is created not by a general product catalogue, but by a reliable chain from the customer's technical specification and approved alternative to the specific batch, documents and delivery.

Business area model

The analysis covers wholesale trade in chemicals, polymers, additives, ingredients, metals, minerals, paper, packaging and other manufacturing raw materials. Processes vary according to material hazard level, specification, intended use, packaging, transport conditions and customer quality requirements.

Specification more important than generic name

Similarly named materials may differ in concentration, purity, particle size, additives or permitted use.

Customer-approved alternatives

A supply source or product can often only be changed after customer technical or quality approval.

Batch documentation is part of the order

Certificate of quality, analytical results, safety data sheet and origin documents must be linked to the delivered batch.

Logistics depend on material properties

Packaging, temperature, hazard classification, compatibility and cleaning requirements affect transport and warehouse processes.

Market and technology context

Change in 'Raw materials, chemicals and manufacturing materials trade' is driven in this model by the most critical customer expectations, data and supply complexity, margin pressure and the need to manage the entire order and service chain faster.

  • Supply chain resilience requirementManufacturing customers demand alternative approved sources and early visibility of supply risk.
  • Fast document self-serviceCustomers expect to receive up-to-date safety data sheets, specifications and batch-specific quality certificates at any time.
  • Increased volume of technical dataProduct properties, origin, environmental, safety and customer-specific requirements are increasing.
  • Pressure to reduce inventory whilst avoiding production stoppagesMore precise management of demand, lead time and alternatives becomes a critical commercial competence.

Typical operating chain

01

Product and supplier qualification

Technical specifications, safety data, certificates, supplier documents and permitted applications are verified.

02

Customer requirement and technical enquiry

The customer provides a specification, usage scenario, annual requirement, packaging, documentation and delivery requirements.

03

Quotation and alternatives confirmation

A product or supply source is selected, a sample, documents, price and approval process are provided.

04

Order and supply plan

Customer terms, availability, packaging, hazard and transport regulations are verified and quantities are reserved.

05

Batch acceptance and quality documents

The batch, certificates, laboratory results, validity, packaging and warehouse condition are recorded.

06

Delivery, traceability and exceptions

The specific batch and documents are handed over to the customer, non-conformities, returns, complaints and supply risk are managed.

Digital maturity model

0

Manual and fragmented model

Specifications, documents, customer approvals and batch information are managed by email, files and employee memory.

1

Core operating systems

ERP, warehouse and document systems are in use, but technical specifications, alternatives and quality data remain separate.

2

Digitalised individual processes

Individual product, order, batch or document processes are digitalised, but customer approvals and exceptions are joined manually.

3

Integrated core process Typical current situation

The primary order scenario integrates approved specification, documents, customer pricing, ERP, batch and order statuses.

4

Data-driven operations Siektina

Decisions on sourcing, inventory, quality, margin and risk are based on real-time and traceable data.

5

Predictive and safely optimised operations

AI assists in extracting documents, selecting alternatives and forecasting risk, whilst technical and quality decisions are approved by responsible specialists.

Key finding

In raw materials and chemicals trading, the digital channel must know not only the product code, but also which specification the customer has approved, what alternative is permitted, which documents are valid and which specific batch will be delivered.

The first version should cover one clear product family and customer group, for which approved specifications, safety documents, pricing, availability, order and batch document self-service can be connected.

AI can accelerate the extraction of supplier documents and the classification of technical enquiries, but final specification, hazard and quality values must be approved by responsible specialists.

Related digitalisation topics

B2B order portalProduct data managementERP integrationDemand forecasting
Next step

Connect the technical specification, documents, batch and order

We will review product and safety data, customer-approved alternatives, batch documentation, pricing, supply sources, hazardous materials logistics and ERP integrations, and help select the first version.