Retail Technology Startup Case Study

Retail Shelf Detection System Achieves 98% Accuracy in Just 2 Months

From concept to production deployment. We delivered a complete computer vision pipeline that outperformed all existing market solutions by a factor of two, transforming how field agents collect retail data.

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98%

Vision Accuracy

Competitor Accuracy

60-Days

Development

The Problem

The client is a fast-growing retail technology startup in Uzbekistan, focused on merchandising and procurement optimization. As they prepared to raise a seed round, they needed an AI platform to compete with established players.

Manual retail shelf data collection was slow, costly, and inaccurate. Field agents struggled with human error and limited speed. Existing solutions fell short, lacking the precision and efficiency they needed to stand out.

TrailBlazed AI was tasked to deliver an automated system for high-accuracy shelf detection, planogram compliance, and deeper analysis, to transform field operations and ensure market differentiation.

The Solution

We designed and deployed a custom computer vision pipeline built for the realities of retail shelf analysis. Our senior AI engineers used advanced object detection and robust training datasets to deliver high accuracy in diverse store environments.

Features included automated planogram compliance, real-time product counting & tracking, and seamless integration with field agent workflows.

Technical execution focused on rapid prototyping, iterative testing, and optimization for production-scale performance.

Team: 2 senior AI engineers, 1 project manager.
Timeline: 2 months from concept to live rollout.
Services: computer vision development, model training, and production deployment.

Project Results

Pre-TrailBlazed AI

Manual shelf audits taking hours per location

Human error affecting data accuracy and consistency

Slow data collection limiting market coverage

Existing solutions providing insufficient accuracy for business needs

Post-TrailBlazed AI

98% accuracy in automated shelf detection and product counting

2-month timeline from concept to deployed solution

Real-time processing enabling faster field operations

Performance outperforming all existing market solutions by factor of two

This transformation enabled the client to scale operations, improve competitiveness and support a successful $1M seed round.

“TrailBlazed AI developed an advanced pipeline that outperformed existing market solutions by a factor of two. Their innovative approach led to 98% accuracy in solving our task.”