Introduction
The programme “Improving Inventory Management Systems Through Data Analytics Techniques” develops professional practice in Procurement and Warehousing. 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 inventory, warehouse, and custodial asset control to performance measurement and continuous improvement, with practical work on procurement planning and supplier evaluation, supply chain and logistics planning, contract drafting and allocation of obligations and risks. Participants prepare outputs to support workplace application and review the quality and results of implementation.
Learning objectives
- Control inventory movements and set reorder levels using demand data in an application related to “Improving Inventory Management Systems Through Data Analytics Techniques”.
- Prepare a purchasing plan and bid comparison based on needs, specifications, and published criteria.
- Analyze supply flows and design alternatives that reduce disruption and improve order fulfillment.
- Draft contractual clauses connecting scope, acceptance, payment, and risk allocation.
- Build performance indicators that distinguish activity completion from achievement of results.
Learning areas
1. 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. The application examines a case related to “Improving Inventory Management Systems Through Data Analytics Techniques”.
2. 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.
3. 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.
4. Contract Drafting and Allocation of Obligations and Risks
- Define the contract's purpose, parties, legal capacity, signing authority, and constituent documents, and verify the relevant law and jurisdiction.
- Draft a clear scope, deliverables, acceptance criteria, and delivery schedule, and clarify the relationship between specifications, appendices, and document precedence.
- Review price, payment, change, warranty, and liability terms, connecting obligations to verification methods and evidence that can be retained.
- Define notice, delay, suspension, termination, and dispute resolution mechanisms, checking internal consistency and ensuring clauses do not conflict.
- Prepare a matrix for managing obligations, deadlines, correspondence, and changes, and practice handling a disagreement over scope or acceptance.
5. Performance Measurement and Continuous Improvement
- Define the intended result and its beneficiary, and distinguish indicators of inputs, activities, outputs, and impact.
- Define each indicator's formula, unit of measurement, data source, update frequency, and responsibility for collection and verification.
- Select a baseline, realistic target, and alert thresholds, and review data quality before interpreting deviations from the target.
- Analyze the causes of performance gaps and link them to corrective actions with specified owners, deadlines, resources, and closure verification methods.
- Design a review meeting covering trends, decisions, and open actions, and track improvement over more than one measurement cycle.
Practical outputs
- Inventory cards, a stocktaking plan, and an item classification and reorder matrix.
- A procurement plan, supplier evaluation matrix, and contract follow-up template.
- A supply chain map, demand and supply plan, and logistics risk register.
- Draft contract clauses, an obligations matrix, and a contract review checklist.
- Performance indicator cards and a plan for reviewing results and improvement actions.
Who should attend
- Practitioners, specialists and supervisors whose work relates to the programme subject.
- Managers and teams working in procurement and warehousing, according to their practical responsibilities.
- Professionals responsible for applying the outputs of “Improving Inventory Management Systems Through Data Analytics Techniques” 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 “Improving Inventory Management Systems Through Data Analytics Techniques” 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.