Retail Analytics

MeuAtendimento

Service data turned into decisions, in real time, across every store.

Nike
Client
Track&Field
Client
Real-time
Dashboards
Multi-store
Architecture
01 / Problem

Retail decisions made on gut, not data

Retail operations generate huge amounts of service data every day: wait times, conversion by salesperson, peak hours, product affinity. Most of it is never analyzed. Managers default to gut feeling, and the same problems repeat for years.

MeuAtendimento started as an analytics startup I founded. Brands like Nike and Track & Field used it to turn that data into decisions: who to staff, when to staff, what to push, what to drop.

02 / Capabilities

What it does

Real-time dashboards

Live view of service metrics, wait times, throughput and customer satisfaction across every store.

Service analytics

Deep analysis of service patterns: peak hours, team performance, bottlenecks, optimization opportunities.

Actionable insights

Not just charts. The platform identifies specific actions to improve operations and cut costs.

Multi-store rollup

Centralized view across all stores with drill-down per location, region or team.

03 / Stack

Built with

ReactNode.jsPostgreSQLRedisAWSTypeScript
04 / Next Step

Want operational intelligence for your retail?

If your stores already generate the data and nothing happens with it, that's the gap. We start with the metrics that matter to you and grow from there.

Let's talk

[email protected]

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