Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. About the Role As a Procurement & Supply Chain Expert on this project, you will design realistic disruption scenarios based on your hands-on experience, define expected outcomes and mitigation strategies, and evaluate AI-generated recommendations for accuracy, completeness, and business relevance. What this opportunity involves  While each project involves unique tasks, contributors may:  - Designing realistic supply chain disruption scenarios (e.g. supplier delays, quantity changes, logistics issues, quality failures) grounded in real-world manufacturing and procurement contexts - Defining expected outcomes and appropriate mitigation strategies for each scenario - Evaluating AI-generated responses and recommendations against real-world business logic - Assessing outputs for accuracy, completeness, and relevance within ERP environments (particularly Microsoft Dynamics 365, Coupa, Jaggaer, Ariba (SAP)) - Contributing to structured data creation and validation tasks following defined guidelines and frameworks What we look for   - Minimum 4 years of hands-on experience in procurement, supply chain, or purchasing, ideally in a manufacturing environment - Strong working knowledge of procurement workflows: purchase orders, vendor management, inventory, and production planning - Hands-on experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365 - Proven ability to design and reason through supply chain disruption scenarios and mitigation approaches - Solid understanding of disruption types: delays, shortages, quality issues, and logistics challenges - Knowledge of Incoterms and transportation/logistics management - Familiarity with BOM structures and production planning processes - Experience with supplier performance metrics (OTIF, lead times, quality scores) - Analytical mindset with the ability to assess AI outputs against real-world business logic - Experience with data validation, structured data entry, or annotation tasks - Clear written communication in English How it works  Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations  For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.  Compensation On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. About the Role As a Procurement & Supply Chain Expert on this project, you will design realistic disruption scenarios based on your hands-on experience, define expected outcomes and mitigation strategies, and evaluate AI-generated recommendations for accuracy, completeness, and business relevance. What this opportunity involves  While each project involves unique tasks, contributors may:  - Designing realistic supply chain disruption scenarios (e.g. supplier delays, quantity changes, logistics issues, quality failures) grounded in real-world manufacturing and procurement contexts - Defining expected outcomes and appropriate mitigation strategies for each scenario - Evaluating AI-generated responses and recommendations against real-world business logic - Assessing outputs for accuracy, completeness, and relevance within ERP environments (particularly Microsoft Dynamics 365, Coupa, Jaggaer, Ariba (SAP)) - Contributing to structured data creation and validation tasks following defined guidelines and frameworks What we look for   - Minimum 4 years of hands-on experience in procurement, supply chain, or purchasing, ideally in a manufacturing environment - Strong working knowledge of procurement workflows: purchase orders, vendor management, inventory, and production planning - Hands-on experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365 - Proven ability to design and reason through supply chain disruption scenarios and mitigation approaches - Solid understanding of disruption types: delays, shortages, quality issues, and logistics challenges - Knowledge of Incoterms and transportation/logistics management - Familiarity with BOM structures and production planning processes - Experience with supplier performance metrics (OTIF, lead times, quality scores) - Analytical mindset with the ability to assess AI outputs against real-world business logic - Experience with data validation, structured data entry, or annotation tasks - Clear written communication in English How it works  Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations  For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.  Compensation On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. About the Role As a Procurement & Supply Chain Expert on this project, you will design realistic disruption scenarios based on your hands-on experience, define expected outcomes and mitigation strategies, and evaluate AI-generated recommendations for accuracy, completeness, and business relevance. What this opportunity involves  While each project involves unique tasks, contributors may:  - Designing realistic supply chain disruption scenarios (e.g. supplier delays, quantity changes, logistics issues, quality failures) grounded in real-world manufacturing and procurement contexts - Defining expected outcomes and appropriate mitigation strategies for each scenario - Evaluating AI-generated responses and recommendations against real-world business logic - Assessing outputs for accuracy, completeness, and relevance within ERP environments (particularly Microsoft Dynamics 365, Coupa, Jaggaer, Ariba (SAP)) - Contributing to structured data creation and validation tasks following defined guidelines and frameworks What we look for   - Minimum 4 years of hands-on experience in procurement, supply chain, or purchasing, ideally in a manufacturing environment - Strong working knowledge of procurement workflows: purchase orders, vendor management, inventory, and production planning - Hands-on experience with ERP systems such as SAP, Oracle, or Microsoft Dynamics 365 - Proven ability to design and reason through supply chain disruption scenarios and mitigation approaches - Solid understanding of disruption types: delays, shortages, quality issues, and logistics challenges - Knowledge of Incoterms and transportation/logistics management - Familiarity with BOM structures and production planning processes - Experience with supplier performance metrics (OTIF, lead times, quality scores) - Analytical mindset with the ability to assess AI outputs against real-world business logic - Experience with data validation, structured data entry, or annotation tasks - Clear written communication in English How it works  Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations  For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.  Compensation On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

**PLEASE SUBMIT YOUR RESUME/CV IN ENGLISH** Location: Remote Employment Type: Full-Time contractor About the Role We’re looking for a data-driven Supply Chain Analyst to own demand planning and inventory optimization across a multi-client portfolio. This is a high-impact role where you’ll work directly with operations leadership, using data, Excel, and modern planning tools to drive smarter forecasting, improve inventory positioning, and support end-to-end supply chain execution. If you thrive in fast-paced environments, enjoy working with data, and want to have real operational impact, this role is for you. Key Responsibilities Demand Planning & Forecasting • Analyze historical usage, sales velocity, and forecast data to support accurate demand planning across multiple clients and SKUs • Monitor monthly and weekly usage trends to identify shifts in demand and proactively adjust replenishment strategies • Collaborate with internal teams to align forecasts with production, procurement, and logistics timelines Inventory Management & Replenishment • Monitor inventory levels across warehouses and distribution points to ensure optimal stock positioning • Execute replenishment planning based on lead times, order cycles, and safety stock requirements • Manage reorder points (ROP), economic order quantities (EOQ), and safety stock levels to mitigate stockouts and excess inventory • Track inbound production, in-transit inventory, and on-hand stock to maintain full visibility across the supply chain Supply Chain Coordination • Work closely with sourcing, production, and logistics teams to align purchase orders with demand forecasts • Understand and manage supplier lead times, manufacturing schedules, and freight timelines • Support coordination between factories, freight providers, warehouses, and distributors Data Analysis & Systems Optimization • Utilize AI-driven planning tools and internal systems to improve forecasting accuracy and inventory optimization • Build and maintain advanced Excel models and dashboards to track KPIs, inventory turns, and demand variability • Identify inefficiencies and recommend improvements to planning processes and system utilization Client & Portfolio Management • Manage inventory and demand planning across multiple client accounts simultaneously • Provide data-driven insights on usage trends, risks, and opportunities to internal stakeholders • Ensure alignment between client demand, production planning, and inventory positioning Required Qualifications • 2–5+ years of experience in supply chain, demand planning, inventory management, or procurement • Prior experience in foodservice, distribution, packaging, or CPG supply chain environments strongly preferred • Strong understanding of demand planning, forecasting, inventory management principles (ROP, safety stock, lead times), procurement workflows, and logistics timing • Advanced proficiency in Microsoft Excel (required) • Strong English communications skills (written and verbal) • Experience with Google Workspace (Sheets, Docs, etc.) • Exposure to AI-driven planning tools (e.g., Flowlity, Netstock, Kinaxis, or similar) is a strong plus • Strong analytical mindset with ability to interpret data and make operational decisions • Excellent communication skills and ability to work cross-functionally Preferred Qualifications • Experience supporting multi-unit restaurant brands or foodservice distribution networks • Familiarity with broadline distributors such as Sysco, US Foods, or similar • Experience working with global supply chains, international sourcing, and long lead-time planning • Background in packaging or food-related supply chains