Capstone – Project Charter

Develop predictive model to project client facility usage

A Collaboration Between

Engagement Synopsis

Tradecycle provides a highly-flexible supply chain finance product to clients whereby the clients determine how and when to utilize the funding. The goals of our collaboration are two fold: 1. Determine correlations between historical funding activity and all available data points (i.e. seasonality, financial metrics, senior credit facilities, etc.) 2. If correlations are identified, determine if they may used to predict future funding activity.  


Tradecycle's offices are located at 11216 Fall Creek Road, Indianapolis, IN 46256.  The building is a shared office suites environment.  Tradecycle currently has four separate offices and full access to two conference rooms, shared kitchen stocked with various beverage options, etc.


Students should have a working knowledge of financial statements (Balance Sheet, P&L) and a high-level understanding of traditional loan structures (i.e. Line of Credit).  Experience in data management & analysis would also be beneficial.


Students will have the opportunity to learn about:
  • Trade Finance Structures
  • Technology-enabled finance
  • Early Stage, high-growth environments
  • Dissecting Data to determine correlation between data points and client funding behavior

Company Information

CompanyTradecycle Capital LLC
StageHigh-Growth Startup
Hiring Potential

Company Overview

Tradecycle provides a unique supply-chain finance tool targeted directly at privately-held, middle market companies. The company's technology enabled solution increases working capital for clients without disrupting the clients' incumbent banking relationships by delivering finance as a service.

Company Supervising Team

CEO & Founder


[email protected]

Course Info & Engagement Details

SchoolUniversity of Notre Dame Mendoza College of Business
Engagement FormatCapstone - Small Team Consulting Project - Students work in small groups of 2-6 directly with faculty and host company project champions on developing real solutions to real-world challenges.
ProgramMBA Consulting
Course2020 SPRING – MBA Interterm (IMMERSE)
Students Enrolled120 Enrolled, 2-5 per group per project
Meeting Day & Time3/2 - 3/5/2019 on-site at host company
Student Time Commitment1-3 Hours Per Week
Company Time Commitment3-5 Hours
Duration4 days (03/02/2020 - 03/05/2020)
Departments InvolvedData Management
Growth Strategy
File Attachments

School Supervisors



[email protected]


There are currently no students assigned.

Collaboration Timeline

  • November 11, 2019

    Alice Obermiller, MBA Experiential Learning Program Director, will begin interviewing interested companies and discuss project ideas.

  • December 20, 2019

    Final date for companies to express interest in participating.

  • January 10, 2020

    School faculty and project champion finalize project charter, legal documents, and background materials.

  • January 31, 2020

    Student Teams Finalized

  • March 2, 2020

    OFFICIAL PROJECT LAUNCH: Students will be on-site working for the week

  • March 5, 2020

    OFFICIAL PROJECT END: Students will present results to company leadership on-site

Key Milestones & Project Process

  • March 2, 2020 - Determine Key Data Points for Diverse Client Portfolio

    1. What are the common key financial ratio ranges regardless of client industry?
    2. Are there industry-specific factors that drive program usage?
    3. What actionable data is created by clients’ funding history?

  • March 3, 2020 - Determine correlation between Portfolio Data and Funding Activity

    1. Can a client’s financial ratios be connected to funding activity?
    2. Can industry statistics be connected to funding activity?
    3. Can a client’s previous funding activity be used to predict & project future activity?

  • March 5, 2020 - Students to provide project results

    1. Are there data points, specifically financial metrics, that may be used to project a client’s use of the program?  If so, what is the correlation and how may these data points be monitored and made actionable?
    2. Are there data points, specifically previous funding activity metrics, that may be used to project a client’s use of the program?  If so, what is the correlation and how may these data points be monitored and made actionable?
    3. Are there data points, specifically industry or macro-economic factors, that may be used to project a client’s use of the program?  If so, what is the correlation and how may these data points be monitored and made actionable?

    Suggested Deliverable:

    Students will deliver a final report of their findings, including:

    1. Identified data points, either financial metrics or previous activity
    2. Identified correlations, if any
    3. Suggestions for monitoring and utilizing data to project future funding activity