Docs / 08-transformation/04-departments/procurement
Procurement — Department Transformation Plan
AI-first plan for PRIME PRODUCTS procurement — supplier quote comparison, PO drafting, sourcing under sailing deadlines, and supplier document handling (wave 2).
Procurement
Pilot wave 2 (M7). Impact: high. See the hub.
Current state (assumptions to validate)
Procurement buys across radically different lines: fresh and frozen provisions (short lead times, cold chain, ISO 22000 supplier requirements), deck/engine/cabin stores and marine coatings (thousands of SKUs, mixed local/import sourcing), safety equipment and PPE (certified products, e-commerce stock), CBRN/hazmat items (restricted, specification-heavy), and tender-driven purchases with back-to-back terms against defense/public contracts. A large share of buying is reactive: a vessel order arrives, part of the list is not in stock, and procurement must source, price, and secure delivery before the sailing deadline — sometimes same-day.
Assumptions — to validate in discovery: team ~6–10; POs in SoftOne; supplier quotes arrive by email in every imaginable format (PDF, Excel, email body); comparisons done manually in Excel; supplier performance tracked informally; import shipments involve customs paperwork coordinated with logistics; no structured supplier master beyond SoftOne records. Pain points: quote-comparison latency on urgent sourcing, no price-history visibility at the moment of buying, supplier certificates (ISO 22000, product certs) chased manually, tender purchases requiring careful spec compliance.
Target AI-first operating model
By M12 an out-of-stock line on a vessel order triggers an assisted sourcing loop: the assistant proposes suppliers from history, drafts the RFQ emails, and when quotes return, an agent extracts and normalizes them into a comparison table with landed-cost estimates and last-paid prices from SoftOne. The buyer decides; the assistant drafts the PO in SoftOne for approval. Supplier certificates are tracked with expiry alerts. Spec-heavy purchases (CBRN, tender back-to-back) get automatic spec-vs-offer compliance checks with human verification. Humans own supplier selection, negotiation, and all commitments.
AI use cases
| Use case | Pain addressed | Data needed | Complexity | Impact | Pilot |
|---|---|---|---|---|---|
| Supplier quote extraction & comparison (any-format quotes → normalized table with price history) | Manual Excel comparisons under deadline | Quote emails/PDFs, SoftOne purchase history, supplier master | M | H | Y |
| RFQ email drafting to shortlisted suppliers | Repetitive drafting, slow fan-out | Supplier master, item specs, order context | L | H | Y |
| PO drafting in SoftOne from selected quote | Re-keying, errors | SoftOne PO module, selected quote data | M | H | N |
| Supplier certificate & document tracking (ISO 22000, product certs, expiry alerts) | Manual chasing, audit exposure | Supplier documents (SharePoint/scans), supplier master | L | M | N |
| Spec-vs-offer compliance check for tender/CBRN purchases | High-stakes manual reading | Tender specs, supplier datasheets | M | H | N |
| Import/customs document pre-drafting with logistics | Paperwork latency on imports | Shipment docs, supplier invoices, HS-code references | M | M | N |
| Price-anomaly flagging on incoming quotes vs history | Overpaying under time pressure | SoftOne purchase price history | L | M | N |
Process transformation opportunities
- Urgent sourcing loop: from ad hoc phone/email scramble to a standard assisted pipeline (shortage → RFQ fan-out → extracted comparison → PO), with cycle time measured.
- Supplier master data: consolidate supplier records, certificates, and performance into one maintained dataset (with BI) instead of tribal knowledge.
- Quote archive: all supplier quotes captured and structured, making price history queryable rather than lost in mailboxes.
- Certificate compliance: expiry-driven alerts replace annual panic before audits.
Required data sources
- SoftOne: suppliers, purchase orders, purchase price history, item master, stock.
- Procurement mailboxes (quotes, order confirmations); SharePoint supplier-document folders; paper certificates → scan.
- Excel comparison sheets (historical, for pattern mining); HS-code/customs reference data.
Potential AI agents
- Quote Comparison Agent — extracts supplier quotes into a normalized comparison with history context; buyer selects.
- PO Drafting Agent — drafts the SoftOne PO from the selected quote; buyer approves before posting.
- Supplier Document Agent — tracks certificates and drafts renewal-request emails; procurement approves sends.
Automation opportunities
- n8n: quotes mailbox → extraction → comparison-ready notification.
- Certificate-expiry scheduled alerts (60/30/7 days).
- Weekly open-PO and overdue-delivery report; reorder-point alert flow from SoftOne stock levels.
Required integrations
- SoftOne read (suppliers, price history, stock) and PO write — see integrations.
- M365: Outlook (quote intake), SharePoint (supplier docs), Teams alerts.
KPIs
| KPI | Baseline | M12 target |
|---|---|---|
| Urgent sourcing cycle time (shortage → PO) | TBD (M2) | −40% |
| Quotes compared per sourcing event (avg) | TBD | ≥3 |
| POs drafted by agent (share of total) | 0 | ≥60% |
| Supplier certificates current at any audit | TBD | 100% |
| Purchase price variance vs history flagged before PO | 0 | 100% of anomalies |
Risks
- Extraction errors distort a comparison and drive a wrong award → source-quote citation next to every extracted figure; buyer verifies before PO.
- Supplier-sensitive pricing data leaking across users → role-scoped access in the assistant.
- PO write integration errors corrupt SoftOne data → drafts-only writes, human posting, staged rollout per architecture.
Training needs
- Buyers: assistant basics, quote-comparison workflow, verifying extractions (M6–M7).
- Head of procurement: KPI dashboard, price-anomaly review routine (M8).
Deliverables
- Quote-comparison pilot (M7) and production sourcing loop (M9–M10).
- Supplier master + certificate register (with BI); quote archive structure.
- PO Drafting Agent; procurement KPI dashboard.
12-month execution milestones
| Month | Milestone |
|---|---|
| M1–M2 | Discovery: sourcing process mapping, quote-format sample collection, baselines |
| M3 | Supplier master data assessment; certificate register design |
| M4 | Assistant onboarding |
| M6 | Training on pilot workflow; quote-extraction accuracy testing offline |
| M7 | Wave-2 pilot: quote extraction & comparison on live sourcing events |
| M8 | Pilot evaluation; RFQ drafting added; PO-draft integration tested |
| M9–M10 | Quote Comparison + PO Drafting Agents in production; certificate alerts live |
| M12 | KPI review; handover |