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Top 5 Teams for the 2025 Social Logistics Challenge Announced!

Out of 166 teams, we had 101 completed submissions from 49 schools, including 23 member schools, across 35 countries who submitted their comprehensive two-part solution package, showcasing their innovative approaches to social logistics.

The Top 5 teams have been invited to present their live pitches to our panel of international judges.

Deliverables

Each team prepared a two-part Solutions Package that incorporated both written and visual elements.

The Top 5 Teams in no particular order are as follows:

Better Vietnam

BI Norwegian Business School – Norway  

Team Members: Thao Bao Ngan Nguyen, Van Hau Le, Phuong Ngan Do, Hong Anh Thu Vu

  • Categories: Healthcare and Medical Supply Chain; Transportation and Mobility 

Better Vietnam proposes HemoMesh VN, a social-logistics platform for reliable, equitable blood supply in Vietnam. HemoMesh VN seeks to strengthen the resilience of Vietnam’s blood supply system, which is characterized by challenges including perishability, geographic dispersion, and fragmented and siloed systems. Better Vietnam’s solution leverages the country’s strong culture of voluntary blood donation with technology applications and supply chain best practices including end-to-end cold-chain audits and expiry control.  

HemoMesh VN is the connective tissue that links existing capabilities into a unified, intelligent blood logistics network that ensures the right blood component reaches the right patient at the right time. It addresses supply generation, stock balancing, and transport quality, while keeping human factors central, coordinating donors with clinicians, couriers, and patients. 

Kiki’s Logistics Service

Universitas Gadjah Mada – Indonesia  

Team Members: Kaori Refonsa, Radiansyah Aryawan, Rafi Lukmantoro, Ethan Nathanael 

  • Categories: Crisis Response and Disaster Relief; Transportation and Mobility 

Kiki’s Logistics Service proposes LINTAS (Logistik Integrasi Transportasi Apari Sadar), a Transportation Management System (TMS) designed to optimize food distribution through coordinated efforts between government agencies, transport operators, and local communities. The solution addresses the persistent challenges of remote and geographically isolated regions of Indonesia in maintaining consistent food supply access.  

LINTAS integrates multi-modal transport systems (river and air), community-based logistics networks, real-time supply data, and Continuous Replenishment (CRP) monitoring to reduce delivery delays and improve logistics accessibility. By leveraging digital logistics management, the framework demonstrates how technology can enhance food security and supply chain resilience in remote areas with limited infrastructure and connectivity. 

Mzansi Move

Stellenbosch Business School – South Africa 

Team Members: Mogammad Nathier Abrahams, Bruce Nell 

  • Categories: Circular Economy and Wast Collection Logistics 

Mzansi Move proposes a solution to the first-mile logistics failure in South Africa’s recycling ecosystem in dense townships and peri-urban settlements. The team applies business concepts such as hub-and-spoke reverse logistics, inclusive market design, and cash-lite, no-phone compatible payouts to address challenges that include inefficient waste recovery for communities and income volatility and poor working conditions for informal waste pickers (reclaimers). 

The solution—Msanzi Move—is a network of multi-material buy-back hubs sited at spazas, taxi ranks, and schools, paired with a micro-mobility fleet (professional, braked trolleys with optional trike-tow upgrades) and instant, cash-lite payouts recorded in a light digital system. The model shortens the first mile, standardizes prices and quality, and produces auditable data for EPR/municipal reporting. 

The Green Guardians

Monash University – Australia  

Team Members: Daniela Pinto Palomino, Janhavi Moze, Ananya Gaonkar

  • Categories: Environmental Sustainability and Communities Development 

The Green Guardians focus their solution on the ChocĂł Region of Colombia, a globally significant biodiversity hotspot that faces deep governance and social logistics failures. Current conservation mechanisms such as Payments for Ecosystem Services (PES) have been constrained by fragmented governance, high transaction costs, and weak community participation.   

The team’s proposed Community based Logistics Network (CBLN) combines humanitarian logistics principles with distributed ledger technology and participatory governance to ensure equitable, transparent, and efficient conservation delivery. Drawing on the Triple-A framework of agility, adaptability, and alignment, and the resource dependence and power asymmetry logic of organizational systems, the model reframes conservation in ChocĂł as a logistics and coordination challenge. The solution contributes directly to SDGs 13 (Climate Action), 15 (Life on Land), and 17 (Partnerships for the Goals) by linking community-based governance, climate mitigation, and partnership-driven innovation.  

Siam Spark

King Mongkut’s Institute of Technology Ladkrabang, King’s Mongkut of Technology Thonburi, Thammasat University – Thailand  

Team Members: Siraya Noypitak, Siraya Noypitak, U-sicha Khamlord, Vitsarut Netprapa, Pattayawat Poolsawatt 

  • Categories: Transportation and Mobility 

Siam Spark proposes a solution to a costly inefficiency in Thailand’s logistics sector known as the “empty backhaul” problem, referring to trucks returning from deliveries without cargo. This inefficiency represents a major waste of fuel, labor, and operational capacity, resulting in both economic and environmental losses. 

The solution—Truck2Go—is a digital platform engineered to function as a Trusted Third Party (TTP) within a sharing economy model. The core business concept is to create a centralized, secure, and efficient marketplace that connects independent truck drivers and small to medium-sized enterprises (SMEs) with businesses needing to transport goods. Truck2Go relies on an AI matching system, route compliance optimization, and an AI-driven price calculator with dual-sided visibility to provide a platform solution that is intelligent, transparent, and efficient.