LAST MILE LOGISTICS PLATFORM
A platform designed to lower carbon emissions as well as costs of shipping by breaking down silos in supply chains and logistics and empowering SMB partnerships
Role - Research, UX, UI
Tools - Adobe XD, Photoshop, Canva
Project type - UX Concept
THE CHALLENGE
Supply chain and logistics are costly yet critical parts of a business. Not only are they cost sensitive, but they are also time sensitive. While advancements have been made in terms of digitization, and collaboration has boosted both productivity and efficiency, there is still room for improvement.
One particular issue that still raises costs and emissions is handling last-mile deliveries in remote areas, which often constitutes the most expensive part of the shipping process due to its fragmented and labor-intensive nature. Delivery vehicles are often dispatched with only partially filled loads, leading to inefficiencies and waste.
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Behavioral barriers
Resistance to sharing delivery resources
Decision fatigue in route planning
Complex coordination between multiple stakeholders
Information overload in logistics management
Jobs-to-be-Done analysis
"Help me optimize delivery routes efficiently"
"Help me reduce operational costs"
"Help me demonstrate environmental responsibility"
"Help me coordinate with other shipping partners"
Cognitive load management
Simplified analytics based decision-making
Load and route optimization tools
Clear data visualization for quick insights
Progressive disclosure of complex features
Collaborative supply chains
AI-powered shipment matching for shared deliveries
Visual route optimization tools
Real-time capacity utilization tracking
Collaborative delivery planning interface
Jobs-to-be-Done analysis
"Help me optimize delivery routes efficiently"
"Help me reduce operational costs"
"Help me demonstrate environmental responsibility"
"Help me coordinate with other shipping partners"
Cognitive load management
Simplified analytics based decision-making
Load and route optimization tools
Clear data visualization for quick insights
Progressive disclosure of complex features
THE SOLUTION
By intelligently matching shipments heading to similar destinations, LML maximizes vehicle utilization, reducing the need for partially filled trips. Advanced route optimization ensures faster, more efficient deliveries, cutting costs and minimizing fuel consumption.
Beyond operational efficiency, LML drives sustainability by reducing the number of vehicles on the road and cutting greenhouse gas emissions. Small and medium enterprises (SMEs) gain access to a shared logistics ecosystem, leveling the playing field and enabling them to achieve economies of scale.
