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

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2800 Registered Allowed team size: 3 - 5

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Project submission phase
Online
starts on:
Sep 17, 2021, 05:00 AM
ends on:
Sep 28, 2021, 04:59 AM

Overview

We are hosting 22 events throughout the Hackathon, check out the agenda and mark your calendars!

JOIN THE DISCORD CHANNEL FOR ALL FURTHER DETAILS

Our Life Out Here philosophy embraces technology as one of the best ways to enhance the experiences of the rural communities we serve. From big, meaningful projects like working to bridge the digital divide, to making life more convenient by using tech-based services such as Buy Online, Pick Up In-Stores, Tractor Supply has made cutting-edge technology a priority.

That’s why Tractor Supply is proud to host our “Life out Here” AI/ML Hackathon! An exciting 10-day virtual Hackathon that aims to bring great minds together to come up with game-changing new ideas that we can put into action in our nearly 2,000 locations. Join us, this September, as we compete to come up with revolutionary ways of using AI/ML in retail.

Timeline

  • September 17th - Hackathon Starts
  • September 27th - Hackathon Submissions Close
  • September 28th - 29th - Judging Phase
  • September 30th - Awards Ceremony

Why Join?

  • To gain access to our slate of speakers from all areas of the AI/ML landscape
  • To interface with leadership at Tractor Supply, one of ComputerWorld's Best Places To Work In IT
  • The opportunity to win one of nine exciting prizes
  • To earn hands on experience in AI and ML

Who Should Participate?

  • CS and IT Students
  • CS and IT Professionals
  • AI and ML Professionals
  • AI and ML Hobbyists

Regarding IP

Tractor Supply Company will retain the IP on all projects submitted in the Life Out Here Hackathon. We are excited to implement the ideas that come out of this event.

Themes

Visual Analytics Based Inventory Replenishment

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:   

Tiger

Customer Interactions with Store Layout

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:  

Tiger

Prediction Model for Distribution Center Receiving Forecast

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:

Tiger

Mobile App Based Lawn/Garden Area/Perimeter Measurement

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: 

DB

Product Recommendations

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: 

cdw

Pricing Optimization

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: 

cdw

Loss Prevention Optimization

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

Telaid

Product Data Enrichment

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: 

cdw

Prizes

Main Prizes
Grand Prize
USD 1,000 per team member

Our judging panels will select a winner for each theme. The team with the most innovative submission out of those eight winners will be awarded our grand prize of $1,000 per team member.

Special Prizes
Visual Analytics Based Inventory Replenishment

Each member of the winning team will be awarded an Xbox Series S, sponsored by Tiger Analytics

Customer Interactions with Store Layout

Each member of the winning team will be awarded an iPad Mini, sponsored by Nutanix

Prediction Model for Distribution Center Receiving Forecast

Each member of the winning team will be awarded with Pixel Buds, sponsored by Google

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