Digital Innovation Pitch: AI-Powered Logistics Optimization
Overview
What this challenge is about.
Research AI in logistics, build a problem statement, solution design, build-vs-buy analysis, roadmap, and ROI model. Pitch it and earn a verifiable certificate.
The scenario
The European logistics industry is at an inflection point. With freight volumes projected to grow 30% by 2030 and simultaneous pressure to reduce carbon emissions by 55% under the European Green Deal, logistics companies must fundamentally rethink their operations. Artificial intelligence has emerged as a key enabler: predictive demand planning can reduce empty truck miles by up to 20%, dynamic route optimization can cut fuel consumption by 12-15%, and computer vision-based warehouse automation can increase throughput by 25-40%. Yet adoption remains uneven, with only 15% of European mid-market logistics firms (EUR 50-500M revenue) having deployed AI beyond pilot stage. A family-owned logistics company headquartered in Duisburg, Germany — one of Europe's largest inland port cities — operates a fleet of 400 trucks, 3 distribution centers, and handles approximately 2 million shipments per year across the DACH region and Benelux countries. The company generates EUR 180 million in annual revenue but faces tightening margins (currently 4.2%) due to rising fuel costs, driver shortages, and increasing customer demands for real-time visibility and same-day delivery options. Their current technology stack is fragmented: a legacy TMS (Transport Management System), separate WMS (Warehouse Management System), and manual planning processes that rely heavily on dispatcher experience. The company's executive board has allocated a EUR 2 million innovation budget for digital transformation and has invited proposals for AI-powered solutions. They expect a compelling pitch that not only demonstrates the technical feasibility of AI integration but also makes a clear business case with ROI projections, addresses implementation risks, and provides a realistic roadmap that accounts for change management challenges in a traditional, operations-heavy organization.
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.
- Digital Innovation
Apply digital innovation to solve real industry problems and demonstrate production-level capability.
- Digital Transformation
Apply digital transformation to solve real industry problems and demonstrate production-level capability.
- Cloud Computing
Design and deploy scalable applications using cloud platforms and services.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles:
Frequently 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.