UI-UX solutions to optimize truck movement in a logistics management system

4 Minutes

UI-UX solutions to optimize truck movement in a logistics management system

John David

The client, based out of Australia, was looking to optimize truck movement from port to warehouse through an integrated logistics management system. The primary challenge lies in ensuring visibility of smooth gate entry, package integrity assurance in a user-friendly interface. To address these, Sparity collaborated to enhance the UI interface, facilitating efficient logistics management.

Client: logistics

Services: GenAI Solution

Year: 2024

Client Challenges

The logistics management system relied on trucks reaching a specific location for X-rays and weighing, which could have led to bottlenecks and delays if multiple trucks arrived at once. While the system provided end-to-end visibility, the presentation of data to truck drivers, live tracking, and logistics personnel was unclear. Additionally, separate access for drivers and logistics personnel could have caused communication gaps and delays. To address these challenges, it was crucial to represent all features on a single dashboard with appropriate visual elements in a user-friendly interface.

Sparity Solutions

UX Research

User Personas and Journey Maps: User personas and journey maps were crafted, detailing truck drivers, logistics personnel, and warehouse staff, capturing demographics, goals, behaviors, pain points, and system interactions.

Usability Test Findings: Documented user interactions, highlighting usability issues, and consolidated experience, navigation, and feature satisfaction feedback.

Smart Gate Interaction Analysis: We aggregated data on truck interactions at the smart gate, noting delays, errors, user behavior, and driver feedback on experiences and improvement suggestions.

X-ray and Weighing Machine Process Evaluation: Combining findings from field observations and operator interviews, identified scan and weigh-in delays, informing recommendations for process enhancement.

System Notification and Alert Effectiveness: Evaluated system notifications for type, format, and efficacy. User feedback summarized helpfulness, timeliness, and preferred notification methods.

End-to-End Process Flow Analysis: Visual process maps highlight steps and bottlenecks; workshops identify pain points and improvements; pilot tests measure efficiency and user satisfaction.

UI Design

Wireframe Prototyping: Utilized wireframes to visualize interface layouts and functionality, iterating designs based on usability test findings to ensure intuitive navigation and feature satisfaction.

Interactive Prototypes: Developed interactive prototypes to simulate user interactions with the smart gate system, allowing for usability testing of interface elements and refining user experience.

User-Centric Interface: Developed UI elements based on personas, aligning colors and layouts to user demographics and preferences, fostering familiarity and ease of use.

Iterative Design: Incorporated usability findings into iterative UI design cycles, ensuring navigation enhancements and feature refinements directly address user pain points and feedback.

Smart Gate Visualization: Designed an intuitive smart gate interface with clear status indicators and error messaging, minimizing delays and errors during truck interactions.

Streamlined Alerts: Implemented customizable notification settings based on user feedback, balancing timeliness and relevance to ensure effective communication without overwhelming users.

Process Flow Optimization: Translated end-to-end process flow analysis into streamlined UI workflows, minimizing bottlenecks and improving user satisfaction through intuitive task sequences.

Benefits

By implementing Sparity’s UI UX solutions, the client experienced significant improvements in logistics management efficiency.

Usability testing revealed a 75% reduction in user errors at the smart gate.

Streamlined alerts led to a 20% decrease in missed notifications by warehouse personnel.

The optimized process flow resulted in a 30% reduction in the average time it takes a truck to complete the journey from port to warehouse