Bachelor of Business Administration (BBA) Year 4 students at SPJ London recently took part in an intensive applied learning session as part of the AI and Supply Chain module led by Dr. Jasmine Mohsen.
The session welcomed Chris Steele-Kendrick, Founder and CEO of not-for-profit Streetbox London CIC (hereafter Streetbox), who partnered with students to develop AI-driven solutions to real operational problems faced by the organisation. The collaboration underscores SP Jain’s commitment to blending academic knowledge with hands-on industry engagement, preparing students to meet the growing demand for AI-literate supply chain professionals.
Streetbox London CIC is a mission-driven social enterprise known for its efforts to reduce food waste, streamline local logistics, and support vulnerable communities through efficient distribution networks. The organisation handles complex challenges that span warehousing, cold-chain transportation, volunteer coordination, and community outreach. Bringing these challenges into the classroom allowed students to engage deeply with high-stakes, real-world logistics scenarios that demand both technical understanding and social sensitivity.
As part of the session, students worked in consulting groups to analyse operational bottlenecks using AI frameworks taught in the module. They applied methods such as machine-learning-based route optimisation, predictive demand modelling, simulation tools for warehouse layout planning, data-driven decision dashboards, and AI-assisted scheduling systems. Their task was not only to improve efficiency, but also to ensure that the proposed technologies remained aligned with Streetbox’s community-oriented mission and values.
The depth of analysis demonstrated by the students reflected their advanced understanding of both supply chain theory and AI application. Following detailed presentations, three groups were recognised for their exceptional contributions:
🏆 First Group: Sharmili and Kashvi
🥈 Second Group: Akshat and Mirza
🥉 Third Group: Seher, Sneha, Shriyans, and Shaurya
These teams excelled in combining technical sophistication with practical feasibility. They showcased the ability to assess datasets, model scenarios using AI tools, and communicate their insights through strategic frameworks suitable for real managerial decision-making.
Integrating Advanced AI Concepts with Industry Application:
Dr. Jasmine Mohsen emphasised the importance of practical engagement in a module where emerging technologies and operational realities intersect.
“In our AI and Supply Chain module, we aim to move well beyond theoretical discussions,” said Dr. Mohsen. “By working directly with business leaders like Chris Steele-Kendrick, students experience how AI can elevate real operational decisions. It teaches them to think as digital strategists, balancing efficiency, ethics, and social impact.”
The module builds on SP Jain’s philosophy of experiential learning, where students not only understand AI tools but also learn how to implement them responsibly and effectively within real supply chains. This includes critical discussions around data governance, algorithmic transparency, AI bias, and the ethics of using technology in community-centred organisations.
Authentic Insights from the Field:
Chris Steele-Kendrick highlighted the value of student engagement and the relevance of their ideas to Streetbox’s work.
“The Year 4 students quickly grasped both the technical and human sides of our logistics model,” said Steele-Kendrick. “Many AI solutions they proposed were not only innovative, but also deeply considerate of our organisational values. Their work shows a level of understanding and maturity that is incredibly encouraging for the future of digital supply chain talent.”
Steele-Kendrick noted that several of the solutions, particularly those involving predictive analytics for route planning and tools for monitoring food temperature stability, could potentially support Streetbox’s long-term operational improvements.
A Capstone Experience in AI-Enabled Logistics:
The collaboration served as a capstone learning experience for the students. Throughout the session, they applied:
- Predictive modelling techniques for forecasting demand and supply needs
- Machine learning algorithms for routing optimisation
- Warehouse simulation software to evaluate layout efficiency
- AI dashboards for real-time decision-making
- Ethical AI frameworks to guide responsible deployment
Students also had the chance to receive direct feedback from industry professionals and SP Jain faculty, strengthening their consulting, analytical, and technical communication skills. The day concluded with an interactive Q&A during which students explored topics such as the challenges of implementing AI in resource-constrained environments, the limitations of predictive models in community-led operations, and the future role of digital tools in socially responsible supply chain management.
SPJ London continues to strengthen its reputation for industry integration, offering students meaningful opportunities to apply classroom learning to real organisations. Through collaborations like the Streetbox partnership, SPJ London ensures that students graduate with not only theoretical expertise but also the hands-on experience needed to excel in today’s AI-enabled supply chain environment.