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aimerch

AI-Powered Retail Analytics Platform with Computer Vision

CPG distributors and brands struggle with manual shelf auditing — field reps spend hours photographing shelves and manually entering data into spreadsheets. This process is slow, error-prone, and provides insights too late to act on.

  • Industry

    Retail / CPG Analytics

  • Client

    AiMerch.io

  • Duration

    Jan 2023 – Jan 2024

Project Information

We built an AI-powered computer vision platform that automates retail shelf analysis. Field reps simply take photos with their phones — AI handles the rest. The system identifies products, checks planogram compliance, detects out-of-stocks, and tracks competitor presence with 98% accuracy. Real-time dashboards give distributors and brands instant visibility into their retail execution.

Technologies Used

Python

TensorFlow

React

React Native

Node.js

PostgreSQL

AWS

Docker

Team Composition

AI/ML Engineer

Computer Vision Engineer

Full Stack Developer

Mobile Developer

Product Manager

QA Engineer

Development Phases

  • 1

    Discovery & AI Research

    Conducted market research on retail analytics tools, evaluated computer vision frameworks (TensorFlow, PyTorch, YOLO), and designed pilot program with initial CPG partners. Built proof-of-concept recognition engine on 10K shelf images.

  • 2

    MVP Development

    Built core recognition engine achieving 92% accuracy, developed iOS/Android mobile apps for field reps, and launched analytics dashboard. Trained models on 100K+ shelf images across diverse retail environments.

  • 3

    Pilot & Validation

    Field testing with 3 CPG distributors across 200+ retail locations. Achieved 95% recognition accuracy after iteration. Collected feedback from field reps and refined mobile app UX for faster audits.

  • 4

    Scale & Enhancement

    Expanded model training to 1M+ images reaching 98% accuracy. Added competitive intelligence module, predictive out-of-stock alerts, and integrations with SAP, Oracle, and major distribution ERPs.

Challenges and Solutions

Diverse Retail Environments

Training models to work across different lighting conditions, shelf layouts, and store formats required extensive data collection and augmentation.

promo-block

Project Metrics

  • 98%

    Recognition Accuracy

  • 60%

    Time Saved per Audit

  • 5x

    Faster Insights

  • 25%

    Revenue Increase

OUR CLIENTS SUCCESS STORIES

clutch

Reviews

6

Rating

5/5

At SagTech, we focus on making our clients' experiences as bright and rewarding as possible. Here's what some of our satisfied customers have to say about working with us:

“SagTech delivered our MVP in just 10 weeks. The quality exceeded our expectations and helped us secure our Series A funding.”

Project

FinTech Payment Platform

John Smith

CEO & Founder, TechStartup Inc.

Yaroslav Gordov

CEO of Wisy

Yaroslav Gordov

Working with SagTech has been exceptional. They delivered our mobile app and admin dashboard ahead of schedule and exceeded all performance expectations. Their deep understanding of investment platforms and user experience resulted in significantly improved processing speeds.

Eugene Prokhorov

Head of Product in Wisy

Eugene Prokhorov

Professionals with excellent knowledge of fintech and automated investments. The project was completed with high quality: a user-friendly mobile and web application, and a well-thought-out admin panel. The team quickly addressed all challenges, including payment integration. If you need a reliable IT partner with a deep understanding of technology, I highly recommend them!

Sergei Chervyakov

CEO of Kwikwins

Sergei Chervyakov

Outstanding team that transformed our backend infrastructure completely. The optimization work resulted in dramatically faster response times and near-perfect uptime in production. Every milestone was delivered ahead of schedule with exceptional attention to detail.

Alexander Kazhemyakin

CEO of Yotewo

Alexander Kazhemyakin

Rare to find contractors who genuinely understand modern web development. Their work doubled our search engine visibility and significantly improved site performance. The scalable architecture they built handles our growing user base perfectly, supporting thousands of daily active users.

Andrej Ruckij

CEO of BullArena

Andrej Ruckij

A professional team with a deep understanding of blockchain technologies and the Play-to-Earn mechanics. The project was executed at a high level, from MVP development to the integration of cryptocurrency operations. The optimization of the gameplay ensured stable real-time performance.

Advantages of Choosing Sagtech

  • planning

    Photo to Insights in Seconds

    Field reps take photos, AI does the rest. No manual data entry, no spreadsheets, no delays.

  • testing

    Actionable Intelligence

    Not just data — specific recommendations for restocking, planogram fixes, and competitive responses.

  • develop

    Enterprise Integrations

    Two-way sync with SAP, Oracle, and major distribution ERPs. Data flows into existing workflows.

frequently asked questions

  • Our models achieve 98% accuracy across diverse retail environments, validated through extensive field testing with CPG partners.

  • Yes, the mobile app caches recognition models locally. Field reps can capture and analyze shelves even without connectivity.

  • New products can be added to recognition models within 24-48 hours using our automated training pipeline.

  • We offer native integrations with SAP, Oracle, Microsoft Dynamics, and custom APIs for other distribution systems.

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Reviews

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Rating

5/5

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