Fully autonomous project. The Procurement Codex is built, verified, and published end-to-end without manual authoring. Its core logic — the spine, the layer model, and the platform comparison rubric — is rebuilt and improved on every iteration for continuous method validation. Content is generated programmatically and refined each cycle: treat it as a directional learning aid, verify against primary sources, and send corrections — accuracy and fairness compound with each pass.
Episode 03 · Going to market
A category strategy is only a plan until you take it to the market. Sourcing is the structured, competitive event that turns intent into offers: define the requirement, invite qualified suppliers, run the right RFx — RFI, RFP, RFQ or e-auction — score fairly, and shortlist for award. It is where strategy meets a supplier's actual price and terms.
Below: the plain concept → how every platform runs an event (fair A vs B vs C) → then we stack process mining, award optimization, AI, orchestration and people on top until you see why standalone is never enough.
A structured competitive process to go to market: define requirements and a scorecard, identify and qualify suppliers, issue an RFx (RFI/RFP/RFQ) or run an e-auction, evaluate responses, and shortlist for award. It is procurement's market-engagement layer.
Because competition and transparency create value. A disciplined event discovers the market, tests price and capability, protects against bias and fraud, and produces a defensible, auditable selection — before anyone commits to a contract.
Weighted scorecard defined up front · broad but pre-qualified bidder list · the right RFx type for the category · sealed, structured responses · scored on TCO not price alone · cycle time tracked · full audit trail · savings and compliance measured.
Same rubric for every vendor, 1–5. We state explicitly what each is best and worst at. Toggle platforms to compare.
| Platform | Best at | Watch-out | |
|---|---|---|---|
Scores are directional teaching aids based on typical deployments, not vendor benchmarks. Your mileage varies by configuration, module licensing, data quality, and integration maturity.
Stack layers onto a plain RFx and watch the architecture — and the outcome metrics — change. This is the whole thesis of the Codex in one control.
A real best-of-breed sourcing architecture — no single vendor owns all of it. The value lives in the seams.
flowchart LR CAT[Category strategy
from Ep02] --> INTAKE[L5 Intake / orchestration
Zip / ORO] INTAKE --> RFX[L1 Sourcing / RFx suite
Ariba / Coupa / Jaggaer] RFX --> DISC[Supplier discovery
Ariba Network / Tealbook] GEN[L4 GenAI RFx authoring
+ response scoring] -.drafts & scores.-> RFX PM[L3 Process mining
Celonis / PM4Py] -.cycle-time & bypass.-> RFX RFX --> OPT[L4 Award optimization
Keelvar / Coupa CSO] OPT --> AWARD{Award decision} AWARD --> CLM[Ep06 · Contract / CLM]
Standalone, a sourcing suite runs a clean RFx and a basic auction — but its optimization can't solve complex multi-lot award scenarios, its supplier discovery is limited to its own network, and drafting and scoring stay manual. Best-of-breed optimization (Keelvar, Coupa Sourcing Optimization) solves splits, volume tiers and capacity constraints; discovery tools widen the qualified pool; GenAI drafts and scores responses; process mining exposes the events that never happened. No one tool does all five — the leverage is in wiring them together.
Pick one from each column. The Codex assembles the composite and calls out where the seams need engineering. Shown here for sourcing; the same engine powers every episode.
Go to market competitively — define specs, invite qualified suppliers, run RFI/RFP/RFQ or an e-auction, score on TCO, and shortlist for award.
Cycle time · qualified bidders per event · savings identified · % competitively sourced · response rate · first-time-right award.
RFI to learn the market · RFP for value & complexity · RFQ / reverse e-auction for well-specified commodities.
Ariba on network + depth · Coupa & Keelvar on award optimization · Jaggaer/Ivalua on configurable RFx · GEP on guided sourcing · Zycus on AI authoring.
L3 mining finds bypass & bottlenecks · L4 optimization solves complex award + GenAI drafts/scores · L5 intake routes the right path · L6 gives events an owner.
No single tool discovers, authors, scores and optimizes award. Value is in the seams.