Client
Leading FMCG Enterprise
Role
UX/UI Manager
Team
1 UI Designer
Turning Complex Supply Data into Actionable Insights
Objective
To design a real-time, data-driven Supply Chain Dashboard for a leading FMCG enterprise, enabling faster decision-making by visualizing disruptions, factory performance, compliance metrics, and workforce efficiency across regions.
Problem Statement
The organization operates a large supply chain network spread across multiple factories and depots nationwide. However, the leadership team lacked a centralized system to get a clear and real-time view of operations.
They needed a unified, visual dashboard to track factory performance, monitor external disruptions, and measure key metrics such as dispatch compliance, sales performance, and manpower availability. In addition, there was a need to identify potential operational risks in advance using indicators like finished goods coverage, projected performance, and demand realization.
The challenge was to bring all of this into a single interface that supports quick understanding and faster decision-making.
Stakeholder Interviews Findings
Dark Theme
Light Theme
Theme Concepts Explorations
After receiving the KPI Data, the next step was to develop theme options. Both light and dark variations were explored so the client could review them side by side and decide the direction before moving into final UI refinement. Presenting both options early helped align expectations and accelerated decision-making.
At this stage, the graphs used placeholder data. This allowed layout, hierarchy, and visual balance to be validated before the actual data sets were integrated into the system.
Core Structure of KPI Graphs
Each KPI bar chart was structured to show performance across a rolling time window: N-3, N-2, and N-1 representing the past three weeks; N representing the current week; and N+1, N+2, and N+3 indicating projected performance for the upcoming weeks.
This structure allowed users to immediately compare past trends, current status, and forward-looking forecasts in a single view, supporting quicker and more informed operational decisions.
