
Product Design
Decision Command Center
Collaborative planning platform for supply chain teams to streamline decision-making and enhance operational alignment.
Logility’s Decision Command Center (DCC) is a flagship supply chain planning tool designed to streamline planning processes, align cross-functional stakeholders, and support strategic decision-making. As the UX Lead, I was responsible for the end-to-end user experience strategy — from high-level workflows to detailed interaction design — ensuring DCC reflects both real-world supply chain complexities and emerging business needs.
ROLE
Senior UX Designer
TOOLS
Figma & Teams
CLIENT
Logility
DCC was conceived to be the central coordination hub for sales and operations planning (S&OP), yet the project faced a critical hurdle: limited access to user research tools due to organizational constraints. This challenged us to find alternative ways to ensure user-centricity while working within tight parameters.
The Challenge
Users
In addition to technical and visual improvements, our design approach intentionally considered the needs of three distinct user types. We built intuitive workflows for Supply Chain Planners, enabled better oversight tools for Plan Managers, and surfaced actionable data for Strategic Leadership. Each feature is designed to serve its audience without overwhelming the interface or diluting usability.
Supply Chain Planners: Execute daily planning tasks and input key data
Plan Managers: Oversee the planning process, monitor progress, resolve blockers
Strategic Leadership: Make high-level decisions using real-time insights
Approach
We compensated for the lack of direct user research through strong partnerships with business consultants and key internal stakeholders who had deep domain knowledge. My UX strategy focused on three foundational pillars:
Template-Driven Planning Framework
Goal: Empower users to build repeatable, flexible planning cycles.
What I did: Created a modular template system that lets users define planning periods, assign roles (owners, approvers, watchers), and configure multi-stage workflows (e.g., Portfolio Review, Demand Review).
UX Focus: Clear field validation, intuitive stage/task configuration, reusable structures.
Seamless Plan Management
Goal: Allow users to move from template to execution with clarity and traceability.
What I did: Designed interfaces that convert templates into live plans with editable timelines, participant assignments, and visible progress tracking.
UX Focus: Stage-based task grouping, contextual task creation, error handling (e.g., “8 required fields missing”), and clarity in plan status.
Task Integration Across the Ecosystem
Goal: Reduce context-switching across Logility’s platform.
What I did: Integrated DCC tasks with external modules via notifications and task list, ensuring users can see and act on their assignments from outside DCC.
UX Focus: Embedded URLs, status updates across systems, task prioritization cues, and due date visibility.
Outcome
Despite resource limitations, DCC evolved into a demo-worthy product widely used by business consultants during client presentations. Stakeholders praised its:
Configurability: Custom templates matched diverse planning rhythms.
Clarity: Role-based visibility and simplified workflows.
Connectivity: Reduction in app switching improved user efficiency.
The platform is now central to multiple planning processes like Sales Forecasting, Operational Efficiency, and Product Launch Planning — all created through DCC templates.
Reflection
Designing within real-world constraints challenged us to deeply collaborate across teams, using stakeholder insight as a proxy for user research. One of our key lessons was the importance of visibility — users in strategic leadership needed to quickly understand the status of complex, multi-stage plans. This led to the development of a new Gantt-style timeline, enabling plan managers to view progress, bottlenecks, and team responsibilities at a glance. The visual clarity supports faster decision-making and keeps stakeholders aligned across each planning stage. We see this as just the beginning of a larger effort to make supply chain planning more intuitive and insight-driven.