Assortment Planning Intern - Summer 2027

About the role

Students are encouraged to submit their application by October 29, 2026 for priority consideration.

Job Summary

Are you ready to spend your summer as a part of something special? Imagine being with a company whose reputation for excellence paves the way for endless success. At Genuine Parts Company (GPC), people build long-lasting, highly satisfying careers and make a real difference in the community. Our 10-week summer internship program will be in person in Atlanta and run from May 24 – July 30, 2027.

As an Assortment Planning Intern, you will be developing an Assortment Engine that optimizes SKU productivity across all Napa locations.

Our internship program is designed as a cohort experience, bringing interns from across the organization together to learn, grow, and build connections throughout the summer. While gaining hands-on experience within your team, you'll also be part of a community of fellow interns sharing the journey alongside you.

As an intern at GPC, you can look forward to

Meaningful Work: Contribute to projects that support key business priorities and showcase your impact through a final presentation to senior leaders.

Professional Development: Participate in development experiences designed to build your skills, confidence, and understanding of the workplace.

Leadership Exposure: Hear from and connect with leaders across the organization, including senior executives, to learn more about our business, leadership, and career growth.

Connection & Community: Build relationships with fellow interns and employees through networking, social events, and collaborative experiences.

Responsibilities

• Develop a data-driven methodology to evaluate SKU and product line performance using key metrics such as: Sales velocity, Inventory investment, Gross Margin Return on Inventory Investment (GMROI), Inventory turns, Fill rate contribution, Product profitability
• Create a scoring framework that identifies potential SKU rationalization candidates and highlights products that may be consuming disproportionate inventory relative to their business value.
• Quantify Optimization Opportunities
• Analyze product categories and suppliers to identify opportunities to:
• Reduce inventory investment
• Improve inventory turns
• Increase GMROI
• Enhance assortment productivity
• Estimate the impact of potential rationalization actions at the category, supplier, and product-line level.
• Support sensitivity analysis to evaluate the potential benefits and risks of various assortment strategies.

Develop Executive Analytics & Insights

• Design and build interactive dashboards in Power BI or similar visualization tools.
• Create executive-ready opportunity rankings that highlight the largest assortment optimization opportunities across:
• Categories
• Product lines
• Suppliers
• Stores and distribution hubs
• Summarize findings and recommendations for business leaders through presentations and visual storytelling.

Partner Across the Business

• Collaborate with stakeholders from assortment planning, category management, inventory planning, and analytics teams.
• Validate business assumptions and ensure recommendations are actionable and aligned with operational realities.

By the end of the internship, the intern will deliver

• SKU Productivity & Rationalization Framework that evaluates inventory productivity and identifies optimization opportunities.
• Opportunity Sizing Model that estimates potential inventory reduction, turn improvement, and profitability benefits.
• Interactive Dashboard allowing users to explore opportunities by category, supplier, store, and distribution hub.
• Executive Opportunity Ranking highlighting the highest-impact assortment optimization opportunities across the business.
• Final Leadership Presentation summarizing key findings, recommendations, and next steps.

Qualifications

• Currently a rising junior or senior pursuing an undergraduate degree in Data Analytics, Data Science, Computer Science, Statistics or other related field required.
• Experience with data analysis tools such as: SQL, Python, R, Power BI, Tableau, AI, Excel
• Ability to work with large datasets and derive actionable business insights.

Preferred Qualifications

• 3.25 GPA or above preferred.

Leadership Skills

• Embodies the following values: serve, perform, influence, respect, innovate, team.
• Effectively communicates by motivating and inspiring others through clear and proactive communication.
• Delivers results and drives customer success by committing and focusing on outcomes to deliver results and making the customer the center of decisions.
• Makes balanced decisions and thinks strategically by being a forward thinker.

Physical Demands / Working Environment

• Expected to operate in a professional office environment.
• The 2027 program will run from May 24 – July 20, 2027
• The work week is 40 hours.
• Working hours are M-F 8:00AM – 5:00PM with a 1-hour lunch break.

Additional information

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