[ Uber Freight ]
Optimized Freight Logistics
[ Pain Point ]
Freight operations suffer from empty miles and underutilized trucks, leading to wasted fuel, higher costs, and reduced driver earnings.
[ Research Findings ]
A large portion of shipments are sent partially empty, with significant unused capacity, highlighting inefficiencies in route planning and load optimization.
[ solution ]
Designed an AI-powered system that optimizes routes, consolidates shipments, and maximizes truck capacity to reduce empty miles and lower costs.
[ Solution Prototype ]
[ Drafting Toward Direction ]
Multi Drop Concept
Tested to streamline multiple destinations,Tested to streamline multiple destinations, but removed due to added complexity, delayed quotes, and the need for full input before feedback, causing unnecessary back-and-forth.
Tabs Exploration
Tested collapsible vs top navigation tabs. Chose collapsible tabs to reduce errors and learning time.
[ Solution Breakdown ]
A subtle in-app popup introduces a new toggle that enhances search mode without disrupting familiar flows.
01
This screen supports multi-shipment creation, enabling users to add and manage multiple shipments in one streamlined flow.
Each shipment is organized in tabs for easy navigation, with consistent input fields that help maintain clarity and speed throughout the process
02
This screen allows users to review and compare optimized shipment routes based on their delivery priorities.
Each shipment is displayed in a card with the option to delete a truck if needed. A map preview offers a visual overview of the routes, while a summary bar at the bottom
03
We streamlined the original appointment confirmation screen by combining timing and shipment details into a clear, compact view.
Information entered earlier updates automatically, and users can fill in any missing fields before confirming and booking the shipment.
04
