Case Study — 2024

BrewMetrics

Data-Driven Analytics Platform optimizing the global brewing supply chain.

Role
Senior Product Designer
Client
ABInBev
Duration
6 Months
Team
4 Designers, 12 Engineers

Overview

BrewMetrics was designed as a unified intelligence hub for regional distribution centers. By aggregating millions of data points from production floors to final delivery, the platform provides real-time visibility into the health of the entire ecosystem.

The Challenge

Fragmented data sources and manual reporting led to 48-hour delays in critical operational decisions.

Teams were spending 60% of their time reconciling spreadsheets rather than analyzing performance.

warning

Delayed Decisions

Supply chain fluctuations were identified too late to prevent stock-outs.

Discovery

Stakeholder Interviews

Conducted 25+ depth interviews across 5 countries to map the mental models of warehouse managers and logistics directors.

"I don't need more data. I need to know what to do next."
High
Cognitive Load

Our findings revealed that current tools overwhelmed users with raw metrics, leading to "analysis paralysis" and high error rates during peak hours.

Design Strategy

"Show the right data at the right time."

The Solution

A Tonal Intelligence Layer

Modular Dashboard

Customizable widget framework allowing users to prioritize metrics based on their specific territory needs.

IA Improvements

Restructured the navigation hierarchy to reduce click-depth for core operational tasks from 7 clicks to 2.

Data Storytelling

Contextual tooltips and narrative summaries that translate complex trend lines into actionable plain-text insights.

40%
Faster Decision Making
30%
User Engagement Increase
25%
Reduction in Task Time

Reflections

Final Outcome

The platform was successfully rolled out across the EMEA region, becoming the primary tool for 2,500 daily active users. It transformed the culture from reactive firefighting to proactive management by providing reliable, real-time forecasts.

Key Learnings

  • check_circle Context is king. A high-density dashboard is only useful if it's curated for the user's specific role.
  • check_circle Shadowing users in loud, high-pressure environments (warehouses) revealed UI needs that wouldn't have been caught in a lab.