Retail Mainline Demand Planning Intern

14 ago - Milano
Levi Strauss

Job Description

Calling all originals: At Levi Strauss & Co., you can be yourself — and be part of something bigger. We're a company of people who forge our own path and leave the world better than we found it. We believe that what makes us different makes us stronger. So add your voice. Make an impact. Find your fit — and your future.

About the job
The Retail Mainline Demand Planning intern has the responsibility to support the retail mainline pre-season team. This role will be in charge to support the pre-season planning activities on Range Plans management, forecasting analysis and reporting to collect and share insights on accuracy and performances internally and externally for the Retail mainline channels (O&O; and Franchise).

Key Responsibilities:
- Support pre-season planning through data analysis, reporting, and implementation of new tools.
- Develop and maintain dashboards to track key KPIs such as sell-in/sell-out, forecast accuracy, sell-through, inventory levels, and assortment structure.
- Leverage sales and shipment data, along with store performance metrics,



to generate actionable insights.
- Collaborate cross-functionally with merchandising, retail, franchise, trading, and inventory teams.
- Assist with purchase budget management and assortment architecture reporting.
- Analyze size performance and contribute to retail planning optimization.
- Support the execution and coordination of key programs (e.g., capsules, agility packs, collaborations).
- Conduct grading, segmentation, and quantitative analyses to identify opportunities, mitigate risks, and improve profitability

About you
- Bachelor's degree in Business/Finance/Engineering area or equivalent
- Advanced skills in excel is a must and knowledge of ERP system is a plus (SAP, planning tools)
- Proficiency in English, oral and written
- Experience with streamlining processes with AI is a nice to have
- Interest in retail and fashion industry
- Ability to communicate in an effective way in a mul

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