Christopher Blakey Full Stack Engineer
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Product case study / IoT / Positioning

PozyxIndoor location intelligence

Use indoor location data to track assets and support day-to-day operations.

Indoor positioningIoT devicesLocation data

Relevant technical skills

  • SQL
  • API integration
  • Data modeling
  • ETL pipelines
  • Data visualization
  • Event processing
  • Data validation
  • Automated testing

These skills describe a proposed engineering approach. They are not a verified list of the company’s internal technologies.

01 / The problem

Context

Pozyx addresses a connected operational workflow: indoor positioning hardware and location-driven operational workflows. Teams using this type of platform need consistent context as information moves between systems and people.

02 / The experience

A connected product workflow

This product study focuses on the path from receive signal to trigger workflow. The central interface challenge is making the next action understandable while preserving the state and evidence behind it.

  1. 01Receive signal
  2. 02Estimate position
  3. 03Display location
  4. 04Trigger workflow

03 / Technical perspective

Engineering approach

A proposed positioning service should attach accuracy and freshness to every location estimate. Map coordinates and device identity need stable contracts across integrations.

This section outlines a proposed approach, rather than the company’s verified internal implementation.

04 / Reliability

Testing priorities

Exercise lost tags, noisy measurements, zone boundaries, and stale positions. Confirm that automation tolerates uncertainty instead of treating every coordinate as exact.

05 / Source & attribution

Explore the product

This independent study is based on the company’s public website. The gallery contains imagery sourced from the company’s official website and public product resources. Images belong to their respective owners. This study does not claim a personal role in building the product.

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