Screenshot of a web-based application showing an RFP creation and management interface with options for templates, approval stages, and document uploads.
  • AI-native Sourcing

Accelerate RFQs from request to awarding

SupplyOn AI-native Sourcing helps manufacturing procurement teams create RFQs faster, structure supplier responses, compare offers, and prepare award proposals with less manual effort – while buyers remain fully in control of the sourcing decision.

What is AI-native Sourcing?

AI-native Sourcing uses artificial intelligence directly inside the RFQ process to reduce repetitive work, improve structure, and support faster decision preparation. Buyers can use AI assistance to create RFQs, guide supplier responses, compare offers, and prepare award proposals in a structured workflow. The goal is not to replace buyer judgment, but to help procurement teams move from request to award faster, with better transparency, documentation, and control. The solution is built for manufacturing sourcing decisions that must consider more than price – including quality, supplier strategy, ESG, risk, compliance, technical feasibility, APQP, PPAP/PPF, and supplier performance.

SupplyOn AI-native Sourcing is integrated into T-Systems’ Industrial AI Cloud. As a result, AI processing can take place within the sovereign AI data center in Munich.

The Challenge

RFQs move too slowly when sourcing teams rely on manual work

Manufacturing sourcing teams are expected to deliver faster results with fewer resources – but many RFQ processes still depend on scattered inputs, email follow-ups, spreadsheets, inconsistent supplier responses, and manual award documentation.

This creates delays, reduces transparency, and keeps buyers focused on administration instead of supplier strategy, negotiation, and decision quality.

Create RFQs without starting from scratch


Turn incoming sourcing needs into structured RFQs faster, using AI support to reduce manual setup and repetitive data entry.

Compare supplier offers without spreadsheet consolidation


Bring supplier responses into a structured workflow so buyers can compare offers more efficiently and identify gaps faster.

Prepare awards with better documentation


Support award proposals, decision sheets, and approval preparation with a clearer sourcing trail.

Keep buyers in control


Use AI to support the process – not to make uncontrolled sourcing decisions. Buyers review, adjust, approve, and decide.

The Solution

Transform RFQ execution into an intelligent, controlled workflow

SupplyOn AI-Native Sourcing supports the RFQ process from creation to award preparation. It helps buyers reduce manual work, improve offer comparability, and accelerate sourcing decisions – all within a manufacturing-native environment.

AI-assisted RFQ creation

SupplyOn helps buyers create structured RFQs faster by using AI support to turn sourcing input into an initial RFQ structure. Buyers can review, adjust, accept, or manually complete the RFQ before sending it to suppliers.

Key features
  • AI-supported RFQ creation for faster setup
  • Structured request preparation
  • Buyer review and adjustment
  • Reusable sourcing structure
Impact
  • Less manual RFQ administration
  • Faster start of sourcing events
  • Higher consistency across requests
  • More time for supplier strategy and negotiation
People work at computers in a modern office with glass walls and large monitors, whilst machinery is visible in the background.
A person working at a desk views data and text boxes on a large computer monitor in a modern office setting.

Structured supplier response management

Suppliers respond through a structured sourcing workflow instead of disconnected email threads and inconsistent attachments. This helps buyers reduce follow-up effort and improves the quality and comparability of supplier input.

Key features
  • Supplier invitation workflow
  • Structured supplier response capture
  • Response status transparency
  • Central access to requests
Impact
  • Less fragmented communication channels
  • Better supplier response transparency
  • Reduced manual follow-up
  • More consistent sourcing records

Offer comparison and AI-supported evaluation

SupplyOn enables buyers to compare offers in a structured workflow and prepare sourcing decisions more efficiently. AI support can help reduce manual effort in offer analysis and supplier quotation processing.

Key features
  • Automatic comparison of offers
  • AI-based extraction of supplier-uploaded documents
  • Structured offer evaluation
  • Decision proposal support
Impact
  • Faster offer comparison
  • Less spreadsheet consolidation
  • Higher data quality
  • Better preparation for negotiation and awarding
Person working at a desk, viewing a large computer monitor displaying a dashboard with forms and data in an office setting.
Person using a laptop displaying a data dashboard interface with tables and navigation menus on the screen.

Award proposal and decision documentation

SupplyOn supports the preparation of awarding decisions with structured documentation, decision sheets and approval workflows.

Key features
  • Awarding proposals and scenarios
  • Approval workflow support
  • Audit-proof documentation
Impact
  • Faster RFQ-to-award process
  • Stronger decision traceability
  • Better compliance support
  • Clearer handover into quality and contract processes

Reduce manual effort. Accelerate sourcing decisions.

SupplyOn AI-Native Sourcing helps procurement teams reduce repetitive work and shorten the path from RFQ to award – while maintaining structure, control, and documentation.

Up to 50%

process effort reduction with AI-native sourcing capabilities

Up to 50%

faster RFQ-to-awarding lead time

Up to 60%

process cost savings in sourcing management through RFx automation and tracking

6–12%

potential savings of direct purchasing cost

Faster and better sourcing decisions. Lower purchasing and process costs.

Built on SupplyOn’s manufacturing sourcing network

SupplyOn Sourcing is designed for production-material sourcing at manufacturing scale.

140.000

registered suppliers for production material

90+

countries with inquiry-ready suppliers

650.000

requested part numbers annually

1.500

sourcing projects annually

Frequently Asked Questions

SupplyOn AI-Native Sourcing supports buyers across the RFQ process. Buyers can use AI assistance to create RFQs, invite suppliers, structure supplier responses, compare offers, and prepare award proposals. The buyer remains in control and can review, adjust, approve, or complete the process manually where needed.

No. The purpose is to support buyers, not replace them. AI helps reduce manual work and prepare better decision input, while sourcing teams remain responsible for evaluation, negotiation, approval, and final award decisions.

AI-Native Sourcing is especially useful for repetitive RFQs, smaller or tactical sourcing events, benchmark sourcing, single-demand sourcing, and production-material sourcing where speed, structure, and documentation matter.

SupplyOn AI-Native Sourcing is embedded in a manufacturing-native Source-to-Contract environment. It connects RFQ execution with supplier qualification, risk, compliance, quality, performance, ESG, technical review, APQP, PPAP/PPF, and contract processes.

Yes. SupplyOn AI-native Sourcing supports seamless ERP integration for demand transfer, supplier record transfer, and connected sourcing processes.

SupplyOn AI-native Sourcing includes AI support for extracting structured information from supplier-uploaded quotation and calculation documents, reducing manual data entry and improving data quality.

Move from manual RFQs to intelligent sourcing execution

Accelerate RFQ creation, improve supplier response handling, compare offers faster, and prepare award decisions with more structure and control.

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