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AI Assistants · Buy
Cost Optimisation Assistant
Conversational copilots that augment a human in the loop with on-demand recommendations and tasks.
High impactIdentified
Business objective
Lower cost of goods, mitigate supplier risk and improve OTIF.
Value
Material P&L impact — typically 6–8 figure annual value at retail scale.
Who uses it
ProcurementSupplier ManagementFinance
Business outcomes
- Hours saved per user per week
- Higher self-service, lower escalation
- Consistent answers grounded in trusted data
How it works — workflow
Typical ai assistants loop powering this use case.
Step 1
User asks question / takes task
Step 2
Retrieve grounded context
Step 3
Generate response / draft action
Step 4
Human approves or refines
Step 5
Log feedback for improvement
Data required
- • Policies & SOPs (unstructured)
- • Knowledge bases
- • Live operational data
- • User context & permissions
- • Conversation history
Connected systems
- • Procurement (Coupa/Ariba)
- • Supplier portal
- • PIM/MDM
- • ERP
- • Contract & compliance
Business processes
- • Sourcing & RFx
- • Supplier onboarding & risk
- • PO management
- • Cost & terms negotiation
- • Compliance & traceability
What's required to be successful
- Retrieval-augmented knowledge base
- Identity & permissions
- Conversational surface (chat / copilot)
- Evaluation harness & guardrails
- Change management & training
Underpinned by the Xfuze Foundation — see the five pillars.
Related use cases
Same stage or AI type — useful when scoping an end-to-end ambition.
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