Tractor Supply’s “Life out Here” AI/ML Hackathon

In this competition, participants will work to build a solution that utilizes AI/ML to automatically highlight and quantify the available space (primarily side lots and back lots) in stores and make necessary recommendations for inventory replenishment.

Data Provided:

• Pictures of a few stores side and back lots
• Historic Sales of items
• Historic and future weather data for the store locations
• Approximate volume of the item

Challenges for the participants:

• Compute the available space for the item
• Predict the sales forecast based on historic sales and weather data
• Assume zero weeks lead time and 2 weeks of supply
• Recommend the order units

Prize: Xbox Series S for each member of the winning team 

Sponsored by:   

In this competition, participants will work to build AI/ML that is capable of measuring the dwelling time of the customers in the Floor Section.

Data Provided:

• Video footage of an Aisle of a store with people movements

Challenge to the participants:

• Compute Dwelling time of customers in Floor Sections
• Assume Floor is divided into 8 sections

Prize: iPad Mini for each member of the winning team

Sponsored by:  

In this competition, participants will use AI/ML to predict the number of trailers and the item units expected to be received at distribution centers.

Data Provided:

• Inbound Trailers received by Week by DC
• Received units by category by week by DC
• Sales Units by category by week by DC

Challenges to the participants:

• Predict number of inbound trailers and units will be received by the week by DC

Prize: Google Pixel Buds for each member of the winning team

Sponsored by:

Participants will build AI/ML mobile app solutions to measure area/perimeter around lawn/garden to facilitate ordering mulch, seed, fence, etc.

Data Provided:

• No TSC data needed

Challenge to the Participants:

• Find ways to measure area and distance through a mobile app

Prize: $300 (USD) Prepaid Gift Card for each member of the winning team

Sponsored by: 

In this competition, participants will work to build AI/ML that learns how customers and potential customers browse online and recommend products on the homepage and search pages for the best customer experience

Data Provided:

• Items clicked
• Items put on a cart
• Items purchased
• Weather data

Challenge to the participants:

• Build product recommendation engine to show the relevant products on the home page and search pages based on location, local weather, customer’s historic purchase patterns
• Product search to be limited to numeric product numbers. Text analytics around product description is out of scope as the product description will not be provided

Prize: AirPod Pros for each member of the winning team

Sponsored by: 

In this competition, participants will build AI/ML that can learn how TSC and other companies price their items and recommend optimal price change schedule

Data Provided:

• Price change data
• Sales data
• Competitors price data

Challenge to the participants:

• Recommend price change schedules for highest gross margin dollars

Prize: iPad Mini for each member of the winning team

Sponsored by: 

In this competition, participants will work to build AI/ML solutions that identify online sites selling stolen items from TSC and automatically notifies TSC’s Loss Prevention team

Data Provided:

• Tractor Supply Stores list with Address
• List of high fraud most commonly stolen items with product description

Challenges:

• Build a bot to identify social media selling platforms (like eBay, Facebook marketplace, Letgo, Offerup, Amazon etc) where TSC high ticket items are sold. Need output from Hackers - Site, Seller, Product Information, Seller Location / City, Seller Store name, Seller relative product sales history

Prize: Oculus Quest 2 for each member of the winning team

Sponsored by: Telaid

In this competition, participants will build an AI/ML solution that utilizes web scraping and recommends enriched product data.

Data Provided:

• Tractor Supply provide a list of products with current product details

Challenge to the participants:

• Build a bot to browse the website and collect product information, recommend changes to the attributes like dimensions and Hazmat categorization etc.

Prize: Go Pro for each member of the winning team

Sponsored by: