Digital Innovation Pitch: AI-Powered Logistics Optimization
Overview
What this challenge is about.
Research the state of AI in logistics (route optimization, demand prediction, computer vision for warehouse automation). Select one innovation area and develop: (1) Problem statement with quantified business impact, (2) Proposed solution architecture (high-level technical design), (3) Build vs. buy analysis for key components, (4) Implementation roadmap (12 months), (5) Financial model with ROI projection over 3 years. Deliver as a 15-minute investor-style pitch with a Q&A preparation document.
The Brief
What you'll do, and what you'll demonstrate.
Prepare and deliver a 15-minute investor/board-level pitch for an AI-powered logistics optimization solution that addresses the company's margin pressure, operational inefficiencies, and sustainability targets. The pitch must include a clear value proposition, technical approach, business case with ROI projections, and an implementation roadmap within the EUR 2 million budget.
Your tasks
01
Research and Business Case Development
- Research AI applications in logistics and identify the 3-4 highest-impact use cases for the scenario
- Gather industry benchmarks for AI-driven improvements in logistics KPIs
- Build the bottom-up ROI model with conservative, moderate, and optimistic scenarios
- Draft the pitch narrative structure and key messages
02
Pitch Deck Design and Implementation Roadmap
- Design the pitch deck slides with clear visuals, data charts, and minimal text
- Create the phased implementation roadmap fitting within the EUR 2M budget
- Develop solution mockups or architecture diagrams to visualize the AI platform
- Draft the executive summary one-pager
03
Rehearsal, Recording, and Finalization
- Rehearse the presentation and refine timing to fit the 15-minute window
- Record the final pitch video with clear audio and professional delivery
- Finalize all submission materials (deck, video, financial model, executive summary)
- Conduct a peer review focusing on clarity, persuasiveness, and completeness
Earning criteria — what you'll demonstrate
- Develop a structured innovation pitch that communicates complex technical concepts (AI/ML in logistics) to a non-technical executive audience.
- Build a quantitative business case with ROI projections grounded in industry benchmarks and realistic operational assumptions.
- Design a phased implementation roadmap that accounts for technical prerequisites, organizational change management, and budget constraints.
- Practice presentation skills including storytelling, slide design, and handling executive-level Q&A.
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
Career paths this builds toward
Canonical rolesFrequently asked questions
What students usually ask before they start.
No. This is a pitch/presentation challenge. You need to demonstrate understanding of the AI techniques involved and their feasibility, but you are not expected to train models or write production code. You may include architecture diagrams or mockup dashboards to illustrate your solution.
Submit your pitch deck as a PDF and record a 15-minute video presentation (screen recording with voiceover is acceptable). If working in a team, each member should present a section.
Aim for "executive technical" — explain what the AI does and why it works at a conceptual level (e.g., "The route optimization engine uses a graph neural network trained on historical delivery data to find optimal multi-stop routes in real-time") without diving into mathematical formulas or model architectures. Include a technical appendix for details if desired.