Inventory Planning & Replenishment Intern - Summer 2027

Genuine Parts Company

Atlanta, United StatesOn-siteFull time, Internship
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Location
Atlanta, United States
Work style
On-site
Job type
Full time, Internship
Posted
Oct 23
2 days ago
Career path

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About the company

Genuine Parts Company

Automotive · 10,001+ employees

At Genuine Parts Company (GPC), people build long-lasting, highly satisfying careers and make a real difference in the community.

Genuine Parts Company on LinkedIn

What you'll do

  • Monitor KPIs including fill rate, in-stock percentage, backorders, and inventory turns
  • Apply rules-based analytics and machine learning to diagnose performance issues
  • Analyze and categorize root causes
  • Create an interactive dashboard ranking service and inventory opportunities
  • Quantify business impact and recommend corrective actions

What you need

  • Currently a rising junior or senior pursuing an undergraduate degree in a related field
  • Strong experience with data analysis tools such as SQL, Python, R, Power BI, Tableau, AI, Excel
  • Basic skills with Microsoft Office, including Outlook, Word, and PowerPoint
  • Strong analytical aptitude
  • 3.25 GPA or above (preferred)

Key skills

SQLPythonRPower BITableauAIExcelMicrosoft OfficeStrong analytical aptitudeclear and proactive communication

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Perks

  • Meaningful Work
  • Professional Development
  • Leadership Exposure
  • Connection & Community

See full description on company page, apply now

Read the full posting here
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 Inventory Planning and Replenishment Intern , you will be building a Root Cause Engine and analyzing the data. The Inventory Root Cause Engine is an analytics platform designed to what happened and more importantly, identify WHY it happened. 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 Monitor KPI’s. The Engine will monitor key performance indicators such as fill rate, in-stock percentage, backorders, inventory turns, forecast accuracy, and excess inventory. Identify Performance Issues. Apply rules-based analytics and machine learning to diagnose the primary drivers of performance issues. Analyze and categorize root causes. Rather than simply flagging a declining fill rate, the engine will classify the root cause into categories such as supplier constraints, forecast error, replenishment parameter issues, network imbalances, assortment gaps, or execution failures at the DC or store level. Create an interactive dashboard. The project would culminate in an interactive dashboard that ranks the largest service and inventory opportunities across the network, quantifies the business impact, and recommends corrective actions, allowing planners and leaders to focus on resolution rather than investigation. This directly supports the organization's objective of modernizing reporting and analytics capabilities by shifting from descriptive reporting to predictive and prescriptive decision support and exception-based management. Qualifications Currently a rising junior or senior pursuing an undergraduate degree in Data Analytics, Data Science, Computer Science, Statistics or other related field required. Stong experience with data analysis tools such as: SQL, Python, R, Power BI, Tableau, AI, Excel Basic skills with Microsoft Office, including Outlook, Word, and PowerPoint, required. Strong analytical aptitude.  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. Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest! GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

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