AI FOR PROCUREMENT & SUPPLY CHAIN

Organise information.
Prepare sound decisions.

Procurement brings together quotations, supplier documents and operational information. AI can support preparation and highlight open issues for informed professional judgement.

Explore three use cases
A QUESTION TO GET STARTED

What information is missing when your procurement team needs to make a quick decision?

USE CASE EXAMPLES

How AI could help
in everyday work.

Illustrative scenarios. Requirements and value are assessed for your specific process.

01

DOCUMENT ANALYSIS

Put quotations on a comparable basis

THE STARTING POINT

Quotations differ in structure, units, scope and terms. A complete comparison requires substantial manual transfer of information.

A POSSIBLE APPROACH

AI helps extract agreed comparison fields and points to their source locations. Differences and missing information are flagged for review.

WHAT YOU NEED

Quotation documents, clear comparison criteria, rules for units and an agreed professional review step.

UNDERSTAND THE AI

What happens behind the scenes.

TECHNICAL INSIGHT
POSSIBLE SOLUTION DESIGN

Document AI · Semantic mapping · Calculation rules

What does the AI actually do?

AI identifies quotation lines and maps differently named services to common comparison fields.

How the solution works

  1. 01
    Extract entries

    Document models capture quantities, prices, units, scope and terms with source references.

  2. 02
    Build comparability

    Semantic matching proposes corresponding lines; fixed rules convert confirmed units and price bases.

  3. 03
    Explain differences

    A matrix shows missing scope and assumptions, with source-linked explanations.

What value can it deliver?

Less transfer effort and earlier visibility of scope differences can improve quotation review.

A concrete example

A unit price and a price per 100 become comparable after confirmed conversion; a separately priced certificate remains an explicit extra.

Technology, setup & operation

Combine extraction with reproducible calculations. Different services require expert confirmation of comparability. Evaluate matching and numeric extraction separately.

Illustrative solution design. The final architecture depends on data, systems and pilot evaluation.

Pilot, value assessment & professional responsibility +
HOW A PILOT COULD START

Trial one purchasing category and a manageable set of quotations using real comparison questions.

HOW TO ASSESS VALUE

Evaluate extraction accuracy, outstanding questions and time required to prepare the comparison.

Price, scope and contractual assessment, together with the award decision, remain the responsibility of procurement.

02

KNOWLEDGE & DOCUMENTS

Make supplier information accessible

THE STARTING POINT

Certificates, audit reports, approvals and internal experience are spread across repositories and individual contacts.

A POSSIBLE APPROACH

Structured search makes relevant documents and their validity easier to find. It can also highlight missing information in a supplier record.

WHAT YOU NEED

Supplier master data, linked documents, versions and validity dates, with clearly defined ownership and access rights.

UNDERSTAND THE AI

What happens behind the scenes.

TECHNICAL INSIGHT
POSSIBLE SOLUTION DESIGN

RAG search · Document extraction · Validity checks

What does the AI actually do?

AI retrieves supplier evidence and extracts its scope, certificate type and relevant statements.

How the solution works

  1. 01
    Identify supplier

    Master data and permissions define the sources.

  2. 02
    Retrieve content

    Semantic search and field extraction surface relevant passages.

  3. 03
    Show status

    Fixed date and completeness rules flag expired or missing evidence.

What value can it deliver?

Faster supplier-meeting preparation and less effort locating and checking documents.

A concrete example

A certificate exists, but its scope does not clearly include the requested site; the assistant flags clarification.

Technology, setup & operation

A maintained index and reliable supplier links matter more than proprietary LLM training. Date checks are deterministic; business validity requires expert assessment.

Illustrative solution design. The final architecture depends on data, systems and pilot evaluation.

Pilot, value assessment & professional responsibility +
HOW A PILOT COULD START

Explore one supplier group and a defined document type with the responsible business functions.

HOW TO ASSESS VALUE

Assess completeness of selected supplier records and time required for typical enquiries or preparation tasks.

Approvals, audit assessments and supplier risk evaluations remain professional decisions owned by the responsible teams.

03

DECISION SUPPORT

Consolidate signals of supply issues

THE STARTING POINT

Changes to dates, open questions and quality reports sit in separate processes. A shared picture often emerges only after escalation.

A POSSIBLE APPROACH

An agreed workflow brings available signals together. Analytics and AI help structure and prioritise information for review.

WHAT YOU NEED

Reliable purchase order and date references, quality reports, status information and defined assessment rules.

UNDERSTAND THE AI

What happens behind the scenes.

TECHNICAL INSIGHT
POSSIBLE SOLUTION DESIGN

Text analytics · Event linking · Optional forecasting

What does the AI actually do?

AI extracts delay signals from messages and links them to delivery and quality events.

How the solution works

  1. 01
    Read messages

    Text models extract revised dates and purchase-order references.

  2. 02
    Connect signals

    Identifiers link statements to orders; rules or a validated forecasting model prioritise exceptions.

  3. 03
    Explain the picture

    Show evidence, freshness and outstanding questions for each alert.

What value can it deliver?

Earlier shared visibility of potential supply issues and less manual situation-report preparation.

A concrete example

A postponed promise and an unresolved quality query are linked to the same order line.

Technology, setup & operation

An initial pilot need not predict probabilities. Later forecasting requires historical outcomes, temporal evaluation and comparison with simple baselines.

Illustrative solution design. The final architecture depends on data, systems and pilot evaluation.

Pilot, value assessment & professional responsibility +
HOW A PILOT COULD START

Observe a clearly defined supply chain or material group without making automatic changes to orders.

HOW TO ASSESS VALUE

Compare completeness of signals, the share of relevant alerts and effort required to assess the situation.

Signals do not replace a reliable delivery forecast. Procurement agrees actions with the functions involved.

MY CONTRIBUTION

Work out together
what is worth pursuing.

I help you turn an interesting use case into a clear, assessable business task.

  • Structure needs and objectives with business functions and IT
  • Clarify value, requirements and open questions
  • Prepare a basis for decisions and define a possible pilot scope
  • Support alignment with suitable implementation partners

FREQUENTLY ASKED QUESTIONS

Before taking
the first step.

Can AI make supplier decisions? +

In the approach described here, AI supports information preparation. Criteria, professional assessment, negotiations and award decisions stay with the responsible people.

What makes a good first use case? +

A recurring task with significant manual information handling and clear criteria, such as comparing quotations or preparing a supplier meeting.

FROM A USE CASE TO THE NEXT STEP

Which idea would you
like to make concrete?

Together, we clarify the starting point, possible use cases and expected value, creating a sound basis for your next decisions.

Request a conversation by email +49 160 8983019

Online and at your location.