Digital Procurement and Supply Chain Masterclass Training Course

Participants can assess current digital procurement capability and identify priority gaps.

• Maturity dimensions covering process, data, technology, talent and governance
• Capability heat maps built from evidence rather than stakeholder opinion
• SCOR DS processes connected to procurement and supply performance measures
• Current-state interviews structured around pain points, controls and handoffs
• Gap statements written with observable evidence and business consequences
• Maturity scores calibrated through cross-functional challenge sessions

Participants can rank digital use cases using transparent value and delivery criteria.

• Use cases classified as efficiency, intelligence, experience or control improvements
• Value-feasibility-risk scoring model applied to candidate digital initiatives
• Dependency mapping identifies data, process, supplier and technology prerequisites
• Quick wins distinguished from foundational capabilities and strategic bets
• Weighted decision matrices tested against finance and operational stakeholder assumptions
• Portfolio sequencing balances near-term benefits with architecture requirements

Participants can redesign source-to-pay processes before selecting enabling technology.

• Swimlane maps expose approval delays, rework, exceptions and control failures
• Touchless transaction criteria defined for catalogues, invoices and confirmations
• Three-way matching rules aligned with tolerances, receipt practices and exceptions
• Guided buying journeys designed around user intent and policy compliance
• Exception management redesigned using root-cause analysis and service thresholds
• Future-state process maps distinguish human judgement from machine execution

Participants can specify the data foundations required for reliable digital procurement decisions.

• Spend taxonomy aligned to UNSPSC, category strategy and reporting requirements
• Supplier master data standards define mandatory fields and validation rules
• Data lineage traced from requisition through invoice, payment and reporting
• Duplicate supplier detection uses matching rules, identifiers and confidence thresholds
• Data quality scorecards measure completeness, accuracy, timeliness and consistency
• Golden-record ownership assigned across procurement, finance, IT and suppliers

Participants can convert spend data into defensible sourcing and compliance opportunities.

• Spend cubes segmented by category, supplier, business unit and geography
• Pareto analysis identifies concentration, tail spend and fragmented demand
• Should-cost hypotheses developed from price, volume and specification drivers
• Contract compliance measured through purchase order and invoice data
• Maverick spend patterns separated from legitimate operational exceptions
• Opportunity registers document value, owner, evidence, confidence and dependencies

Participants can design supplier intelligence processes that support earlier risk response.

• Supplier segmentation combines criticality, substitutability, spend and supply market risk
• Risk indicators cover financial health, sanctions, incidents and geographic exposure
• Early-warning thresholds linked to named owners and response playbooks
• Multi-tier mapping distinguishes known suppliers from hidden dependency exposures
• Supplier risk scores tested for false positives and decision usefulness
• Risk dashboards connect signals with sourcing, inventory and continuity actions

Participants can evaluate and govern AI-supported sourcing and category management use cases.

• AI use cases selected where judgement, volume and data support automation
• Prompt structures defined for category research, bid analysis and drafting
• Retrieval-augmented generation separates approved source material from model inference
• Human-in-the-loop checkpoints assigned for recommendations, negotiations and awards
• Bias testing examines supplier exclusion, language effects and scoring outcomes
• NIST AI RMF functions applied to procurement decision workflows

Participants can define digital contract management requirements and control points.

• Clause libraries organised by risk, jurisdiction, category and approval authority
• Metadata standards enable obligation tracking, expiry alerts and portfolio analysis
• Contract extraction accuracy tested against signed agreements and exception samples
• Obligation registers connect deliverables, owners, evidence and escalation dates
• Deviation workflows distinguish approved playbook positions from negotiated exceptions
• Electronic signature controls address authority, retention and audit evidence

Participants can select automation opportunities without weakening procurement and finance controls.

• Robotic process automation candidates screened for rules, volume and stability
• Process mining reveals variants, bottlenecks and non-compliant purchasing routes
• Invoice automation controls validate tax, bank details and duplicate payments
• Workflow orchestration assigns approvals using authority matrices and risk triggers
• Bot exception logs monitored for failure patterns and control breaches
• Automation benefits measured through cycle time, error rate and rework

Participants can specify traceability and network data requirements for priority supply chains.

• GS1 EPCIS events capture object, location, time and business context
• Traceability scope defined from raw material through customer delivery points
• Internet of Things sensors selected for condition, location and asset monitoring
• Blockchain suitability tested against trust gaps, governance and data confidentiality
• Chain-of-custody evidence designed for regulated and high-risk materials
• Supplier onboarding requirements address identifiers, event quality and data sharing

Participants can define decision requirements for supply chain control towers and digital twins.

• Control tower decisions prioritised by frequency, value and response urgency
• Alert logic distinguishes actionable exceptions from informational status updates
• Digital twin boundaries specify assets, flows, constraints and decision variables
• Scenario models test supplier failure, port closure and demand surge
• Response playbooks assign authority, communications and recovery measures
• Decision latency measured from signal detection through corrective action

Participants can evaluate technology architecture choices and integration requirements.

• Reference architecture maps ERP, source-to-pay, data and supplier systems
• Application rationalisation identifies overlap, gaps and retirement candidates
• API requirements define data objects, frequency, security and error handling
• Master data integration avoids conflicting supplier and material identifiers
• Build-buy-config decisions compare differentiation, cost, speed and maintainability
• Architecture principles protect interoperability, auditability and future replacement options

Participants can incorporate cyber, privacy and control requirements into procurement technology initiatives.

• Third-party risk assessments examine hosting, access, recovery and subcontractors
• Role-based access controls separate requester, approver, buyer and administrator duties
• Data classification distinguishes personal, commercial, confidential and public information
• Privacy impact assessments identify purpose, retention, transfer and consent issues
• Cyber incident clauses define notification, evidence, remediation and liability duties
• Control testing schedules cover interfaces, privileges, logs and exception handling

Participants can plan supplier adoption for digital procurement platforms and data exchanges.

• Supplier journey maps identify onboarding friction, support needs and incentives
• Segmentation tailors enablement for strategic, transactional and small suppliers
• Supplier portal requirements balance data quality, usability and accessibility
• Adoption metrics track registration, transaction completion and data accuracy
• Commercial terms address digital participation, data rights and service levels
• Supplier communications plan sequenced messages, channels, owners and escalation routes

Participants can design roles, governance forums and service arrangements for digital procurement.

• Target operating model defines accountability across procurement, IT and finance
• RACI matrices assign decisions for data, platforms, controls and enhancements
• Product management roles connect user needs, releases and measurable outcomes
• Centre-led and federated models compared for category and regional requirements
• Service level agreements define support, incident response and change priorities
• Governance forums separate strategic investment from operational issue resolution

Participants can build a credible investment case and benefits management plan.

• Total cost of ownership includes licences, integration, support and change
• Benefits logic maps digital capabilities to financial and non-financial measures
• Cashable savings distinguished from cost avoidance and productivity capacity
• Sensitivity analysis tests adoption, data quality and supplier participation assumptions
• Benefits owners accept measurement baselines, timing and evidence requirements
• Stage-gate funding links investment release to demonstrated delivery evidence

Participants can create a phased implementation roadmap with adoption and risk controls.

• Roadmap waves sequence foundations, pilots, scale-up and optimisation activities
• Critical path analysis identifies decisions, dependencies and resource constraints
• Change impact assessments identify affected roles, behaviours and policies
• Training needs analysis separates user tasks from specialist administration capabilities
• Pilot success criteria define adoption, control, service and value thresholds
• Implementation risks managed through assumptions logs, owners and mitigations

Participants can run a disciplined procurement technology selection and negotiation process.

• Requirements traceability links business needs to demonstrable vendor capabilities
• Request for proposal scoring separates mandatory, weighted and differentiating criteria
• Scripted demonstrations test scenarios rather than polished vendor presentations
• Reference checks examine implementation effort, support quality and realised benefits
• Commercial models compared across subscription, usage, services and exit costs
• Contract negotiations address data portability, service credits and audit rights

Participants can build, review and present a complete digital procurement and supply chain transformation blueprint.

• Maturity evidence synthesised into priority capability gaps and strategic choices
• Use-case portfolio ranked using value, feasibility, risk and dependency criteria
• Target architecture connects processes, data, platforms, suppliers and controls
• Business case quantifies investment, benefits, assumptions and sensitivity scenarios
• Phased roadmap assigns milestones, owners, governance gates and adoption measures
• Executive presentation defends recommendations against finance, risk and supplier challenge