summit

Procurement and Supply Chain in the AI Age - Dr C. Ruswa

Leveraging AI for Innovation, Policy, and Inclusive National Development

Procurement and Supply Chain in the AI Age

  • • Dr. C. Ruswa
  • • Praz Ceo
  • • AI FOR NATIONAL TRANSFORMATION: ZIMBABWE 2.0
  • • Leveraging AI for Innovation, Policy, and Inclusive National Development
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INTRODUCTION

  • • AI is transforming procurement and supply chain into intelligent, agile, and value-driven functions.
  • • Effective integration of AI technologies with strong governance, ethical practices, and skilled talent results in enhanced efficiency, resilience, and sustainable growth in an increasingly complex environment
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Framing the AI-Enabled Public Procurement Era (Zimbabwe)

  • • AI is fundamentally reshaping how organizations plan, source, contract, and manage suppliers.
  • • Data-driven decision-making is replacing intuition and purely rules-based processes, enabling more accurate demand forecasting, improved spend visibility, and proactive risk management.
  • • A key feature of the AI-driven supply chain is resilience.
  • • With increasing global uncertainty, organizations are leveraging AI to model scenarios, assess supplier risk, and design more robust sourcing strategies, including diversification, regionalization, and dynamic contract management
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Framing the AI-Enabled Public Procurement Era (Zimbabwe)

  • • Key Shifts under the procurement legislation framework, the Public Procurement and Disposal of Public Assets (PPDPA) Act.
  • • Data-driven needs assessment, market intelligence, and procurement planning
  • • Transition from rules-based to evidence-based decisions within PPDPA Act processes
  • • Speed, transparency, and fairness aligned to PPDPA Act procurement cycles
  • • Regulatory and ethical considerations: privacy, bias, accountability, public disclosure
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Strategic Transformations in Public Procurement (Part 1)

  • • AI for core planning within PPDPA Act boundaries
  • • Demand forecasting and spend analytics under the PPDPA Act framework
  • • Historical spend analysis, anomaly detection, supplier risk assessment
  • • AI aids in ensuring competition and fairness in supplier selection
  • • Transparency and accountability are critically strengthened in the AI age. Advanced analytics and digital dashboards make procurement processes more visible and auditable, supporting governance objectives such as compliance, anti-corruption measures, and equitable supplier participation.
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Strategic Transformations in Public Procurement (Part 2)

  • • Artificial intelligence is transforming risk management in procurement and supply chains from a reactive, compliance-driven function into a predictive, intelligence-led capability
  • • Models will be designed in alignment with the PPDPA Act
  • • Modular configuration for flexible procurement enables competitive bidding and rapid prototyping within controls
  • • Outcome-based contracting and performance incentives under contract law
  • • Emphasis on supplier development, local content, and social value, per prescribed guidelines
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Technology Stack for the AI Age (PUBLIC Procurement)

  • • Core layers, with PPDPA Act compliance
  • • Data governance, quality, interoperability, and data protection (alignment with the PPDPA Act and the Cyber and Data Protection Act)
  • • Artificial Intelligence or Machine Learning models for forecasting, risk, market intelligence in public procurement and supply-chain management
  • • Ethical AI guardrails: bias checks, explainability, auditable trails
  • • Compliance overlays: PPDPA Act reporting requirements, bid evaluation documentation
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Supplier Market Shaping in a Zimbabwe AI World

  • • Shaping the market within PPDPA Act provisions and the PPDPA regulations
  • • AI-enabled supplier discovery and onboarding with due diligence
  • • Real-time market monitoring, sentiment analysis, commodity trends
  • • Smart contract concepts and dynamic SLAs that comply with PPDPA Act contract clauses
  • • Co-innovation platforms while safeguarding competition and public value
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Risk Management and Resilience

  • • Procurement legislation compliance risks and continuity
  • • AI-driven risk scoring (financial health, governance, climate, cyber) within procurement policies
  • • Scenario planning and disruption testing under PPDPA Act procedures
  • • Redundancy: dual sourcing where feasible, regionalization, stock buffers, disposal considerations
  • • Cybersecurity, data privacy, and third-party risk management per regulatory expectations
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Transparency, Accountability, and Ethics

  • • Trustworthy procurement under PPDPA Act
  • • Open data dashboards and public accessibility in line with disclosure rules
  • • Explainable AI and justification for high-stakes awards (tie to PPDPA Act evaluation criteria)
  • • Anti-corruption controls, auditable AI systems, whistleblower protections
  • • Inclusive procurement: accessibility and social value (local content, SME participation)
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Policy, Legal Frameworks, and PPDPA Act Compliance

  • • Regulatory backbone for AI-enabled procurement in Zimbabwe
  • • PPDPA Act provisions relevant to AI-enabled workflows
  • • Data sharing, interoperability, vendor compliance standards per Zimbabwean policy
  • • Cross-border considerations within SADC context (sanctions, export controls, data localization)
  • • Ethics guidelines for public procurement and disposal (assets)
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Change Management and Capability Building

  • • People and processes within PPDPA Act context
  • • Upskilling public buyers: data literacy, AI ethics, contract and bid design under PPDPA Act
  • • Pilot projects, rapid iterations, scaling with governance gates
  • • Collaboration across government, industry, and academia
  • • Metrics: efficiency, transparency, vendor participation, public value
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Roadmap: Implementing AI-Driven Public Procurement in Zimbabwe

  • • Phased maturity under PPDPA Act governance
  • • Short-term (0–12 months): data foundation, pilot procurements, governance and PPDPA Act alignment
  • • Medium-term (1–2 years): scalable AI-enabled workflows, dashboards, supplier collaboration within PPDPA framework
  • • Long-term (2+ years): autonomous or semi-autonomous procurement with human oversight, with PPDPA controls
  • • Critical success factors: leadership, ethics-by-design, stakeholder engagement, PPDPA Act compliance
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Risks, Mitigations, and Ethical Considerations

  • • PPDPA Act compliance risk and ethics checklist
  • • Bias and discrimination in AI decisions
  • • Data privacy and security
  • • Vendor capture and inequitable access
  • • Transparency vs. confidentiality in disclosures
  • • Responsible disclosure and public accountability mechanisms
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Next Steps in ai-enabled public procurement

  • • Strengthening the eGP ecosystem and enhance procurement performance through AI-enabled procurement intelligence tools that improve efficiency, transparency, competition, risk management, data use, and value for money.
  • • Transitioning from eGP System rollout to data-driven and AI-enabled procurement management by means of implementing responsible AI applications which improve procurement planning, market intelligence, supplier engagement, risk-based oversight, transparency, competition, and value for money.
  • • Reasonable integration with intelligence tools which are human-supervised, explainable, secure, and aligned with the applicable public procurement framework.
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Thank you,TatendaSiyabonga

  • • Leveraging AI for Innovation, Policy, and Inclusive National Development
  • • Procurement and Supply Chain in the AI Age
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