Introduction
The programme “Supply Chain Innovation Using Artificial Intelligence” develops professional practice in Supply Chains and Logistics. It connects the subject with workplace challenges by examining existing evidence and practices and choosing methods appropriate to the organization and its available resources.
The learning progresses from supply chain and logistics planning to procurement planning and supplier evaluation, with practical work on artificial intelligence applications and controls, strategy formulation and prioritization, inventory, warehouse, and custodial asset control. Participants prepare outputs to support workplace application and review the quality and results of implementation.
Learning objectives
- Analyze supply flows and design alternatives that reduce disruption and improve order fulfillment in an application related to “Supply Chain Innovation Using Artificial Intelligence”.
- Design an AI use case with verification criteria and human review.
- Translate strategic direction into actionable objectives and initiatives.
- Control inventory movements and set reorder levels using demand data.
- Prepare a purchasing plan and bid comparison based on needs, specifications, and published criteria.
Learning areas
1. Supply Chain and Logistics Planning
- Map material, information, and financial flows from supplier to beneficiary, identifying dependencies, bottlenecks, and delays.
- Compare demand forecasts with available capacity and supply dates, and build a coordination plan across purchasing, inventory, production, and distribution.
- Evaluate transportation, storage, and sourcing alternatives in terms of cost, duration, reliability, and relevant contractual terms.
- Test a supplier or transport route disruption scenario, and define alternatives, minimum levels of critical materials, and the escalation path.
- Build indicators for on-time delivery, cost, losses, and service levels, and use them to review the performance of supply chain participants. The application examines a case related to “Supply Chain Innovation Using Artificial Intelligence”.
2. Artificial Intelligence Applications and Controls
- Identify a task that AI can support, and separate inputs and human decisions from outputs produced by the tool.
- Prepare suitable test data and examples while respecting confidentiality, privacy, and permissions, and use de-identified training exercise data.
- Write clear instructions covering the task, context, constraints, and output format, and compare multiple formulations using a fixed set of examples.
- Check outputs for errors, bias, and unsupported information, and identify cases that require specialist review.
- Assess the feasibility of use in terms of quality, time, cost, and risk, and document controls for approval, monitoring, and stopping when failures occur.
3. Strategy Formulation and Prioritization
- Analyze the internal and external environment using available data, and distinguish opportunities from assumptions that require verification.
- Define a specific strategic problem and connect it to the organization's mission and the value sought by beneficiaries and stakeholders.
- Set measurable objectives with a baseline, target, and time horizon, and assign a clear owner to each objective.
- Prioritize initiatives according to impact, feasibility, resources, risks, and interdependencies, explaining the reasons for the trade-offs.
- Build an implementation roadmap covering phases, owners, resources, review gates, and a mechanism for adjusting priorities when circumstances change.
4. Inventory, Warehouse, and Custodial Asset Control
- Classify items by value, movement, criticality, and storage requirements, and connect each classification to the required level of monitoring and control.
- Define the cycle of receiving, inspection, coding, storage, issuing, and returns, and document segregation between custody, recording, and approval.
- Analyze consumption and lead-time data to estimate reorder points and safety stock, stating assumptions and estimation limitations.
- Design periodic or full stocktaking and documented reconciliation of differences, examining causes of losses, slow-moving and damaged stock, and data quality problems.
- Improve warehouse layout, movement routes, and preventive requirements, and monitor accuracy, availability, turnover, and holding costs.
5. Procurement Planning and Supplier Evaluation
- Analyze the need, request timing, and life-cycle cost, checking for alternatives available in inventory or existing contracts.
- Write clear specifications, scope of work, and acceptance criteria, avoiding restrictions that the nature of the need does not justify.
- Study the supplier market, define the procurement method, timetable, and authorities, and refer to applicable regulations and policies.
- Compare bids using published technical and financial criteria and documented weights, and prepare a record showing assessment evidence and potential conflicts of interest.
- Build a mechanism for monitoring delivery, quality, obligations, and change, and measure supplier performance and address noncompliance.
Practical outputs
- A supply chain map, demand and supply plan, and logistics risk register.
- A use case brief and a test template for the quality of AI outputs.
- A strategy map and a priority matrix for proposed initiatives.
- Inventory cards, a stocktaking plan, and an item classification and reorder matrix.
- A procurement plan, supplier evaluation matrix, and contract follow-up template.
Who should attend
- Practitioners, specialists and supervisors whose work relates to the programme subject.
- Managers and teams working in supply chains and logistics, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “Supply Chain Innovation Using Artificial Intelligence” within their organizations.
Prerequisites
- Working familiarity with the programme field and the ability to discuss a professional case or challenge.
- Confirm the suitability of your experience and any specialist prerequisites with the Union before participation.
Conclusion
The programme “Supply Chain Innovation Using Artificial Intelligence” brings together concepts, case review and a practical application. Participants prepare steps that can be adapted to their responsibilities and organizational resources, with an indicator to follow application and review results after returning to work.
Participation arrangements and any special requests are specified in the confirmation issued by the Union.