Consumer Business Unit - AI Analyst Internship - Summer 2027

Springs Window Fashions • Middleton, WI

21d

About The Position

The Best Experience Company Our tagline is “The Best Experience Company.” More than just a set of words, it represents the essence of who we are at Springs Window Fashions. As North America’s premier window covering company, we’re committed to creating the Best Experience for our associates, consumers and end users, business partners, and communities. We want you to join our team of passionate self-starters who believe the world is full of Best Experience opportunities. So, if you’re excited about the thought of a Best Experience career with a team focused on creating Best Experiences for all, we want to hear from you! Internship Projects and Responsibilities: Competitive Pricing Automation In this capacity, the Intern will support the development of an AI-enabled pricing scraper designed to provide real-time visibility into competitor pricing across retail partners. This internship will focus on helping build a scalable process for collecting, organizing, and summarizing competitive pricing data to improve business visibility and support faster decision-making. Online Product Placement Tracking In this capacity, the Intern will support the development of an AI-enabled tracker designed to monitor and report changes to Springs Window Fashions product placement across retailer websites. This internship will focus on improving visibility into how SWF products are represented online, identifying changes in competitive positioning, and helping create a scalable process for weekly reporting.

Requirements

• Previous internship experience in relevant function
• Pursuing a 4-year degree with preferred current standing of Sophomore/Junior level
• Proficient computer skills Microsoft Office
• Problem-solving and critical thinking skills
• Strong communication skills (verbal, written and attention to detail)
• Positive attitude and eagerness to learn

Responsibilities

• Support the development of an AI-enabled pricing scraper to capture competitive pricing information across key retailers and competitors.
• Research pricing data sources and define requirements for collecting consistent, accurate, and timely competitive pricing information
• Assist in organizing scraped pricing data into a structured format suitable for analysis and reporting.
• Partner with business stakeholders to understand reporting needs and identify the most relevant competitive pricing insights.
• Help develop an automated weekly report that highlights changes in the competitive pricing landscape.
• Document the process, assumptions, limitations, and recommendations to support future scalability and ongoing use.
• Support the development of an AI-enabled product tile placement tracker across key retailer websites.
• Monitor changes to SWF product placement, visibility, ranking, assortment presence, and competitive positioning online.
• Research retailer website structures and identify how product placement data can be consistently captured and organized.
• Assist in defining requirements for tracking product tile movement, new product placement, discontinued visibility, and competitive activity.
• Help organize placement data into a structured format that supports analysis and reporting.

Benefits

• Newly renovated corporate headquarters (including on-site fitness center)
• Exposure to other roles and functions within SWF
• Career advancement opportunities
• Regular interaction with multiple functional areas and with others at all levels within the organization, from production to senior leadership
• Paid on-the-job training; in-depth product knowledge sessions via online courses, live online classes, and live sessions

What This Job Offers

• Career Level: Intern
• Education Level: Associate degree