SellerBoard

Unify fragmented marketplace metrics into one decision-making interface.

The client needed a single workspace where managers could track sales, stock, orders, ad performance, and profit across many SKUs and channels. Existing spreadsheets and disconnected tools slowed decisions.

The platform had to support large data tables and fast filtering while staying readable for non-technical business users.

Core goals for launch.

• Build a full operational dashboard

  Sales, orders, inventory, SKU analytics, and KPI cards in one interface.

• Reduce reporting time for managers

  Replace manual weekly reporting with live visual metrics.

• Support scalable filtering and segmentation

  Categories, channels, date ranges, and per-store breakdowns.

• Prepare product for future AI modules

  Forecasting and anomaly detection-ready data structure.

A modular dashboard with a high-density but clean visual system.

We designed SellerBoard around practical business workflows: overview first, drill-down second. KPI tiles, charts, and tables use a consistent hierarchy so users can move from trend detection to action quickly.

Technically, we implemented a component-driven frontend with API-powered data widgets, allowing independent module updates without regressions across the core dashboard.

Execution in iterative product cycles.

• Product discovery

  Interviewed operators and mapped top reporting bottlenecks.

• Information architecture

  Defined dashboard layers: overview, channel detail, SKU detail, operations.

• Design and prototyping

  Interactive flows for filters, widgets, tables, and alerts.

• Development and integration

  Data services, caching strategy, and secure role-based access.

• Launch and optimization

  Performance tuning and dashboard usage analytics.

Built for data volume and interface stability.

Operational analytics delivered in production.