Scenario-Based Procurement Analytics

Systems that model the commercial outcome of a decision before a contract is awarded: total cost of ownership across options, negotiation scenarios, and supplier and regulatory risk exposure. They operate on a single planned contract or category at a time, and produce analysis used to prepare a sourcing decision rather than to execute it.

Lifecycle position: Pre-award
Unit of work: Project / procurement category
Typical buyer: Category leads and procurement strategy owners preparing sourcing decisions.
Representative tools: EXOS

How to recognise this class

Ingests category context, cost drivers, supplier data and constraints for one planned contract.
Outputs scenario models covering total cost of ownership, negotiation options and supplier risk exposure.
Runs before a contract is awarded, producing analysis rather than executing the transaction.

Commonly confused with

Autonomous Sourcing — Scenario-based analytics models the commercial outcome of a planned contract before the sourcing event runs, while autonomous sourcing configures and executes the event itself once the decision to go to market has been made.

Where it sits in the cycle

Preceded by Market Intelligence & Category Data (Pre-award, continuous).
Followed by Autonomous Sourcing (Sourcing event).

Part of the full classification of AI systems in procurement.