Automating Retail Shelf Audits with Computer Vision & AI

Company

Private Limited

Domain

Merchandising & Inventory

Service

Computer Vision & AI

Technology

Artificial Intelligence, Computer Vision

Problem Statement

Retail merchandisers traditionally spend significant time visiting stores to manually inspect shelves, capture product images, count inventory, identify out-of-stock products, and prepare stock reports.

Key challenges included:

Time-consuming.
Prone to human error.
Inconsistent across stores.
Expensive due to repeated field visits.
Slow to provide inventory visibility.
Dependent on manual data entry and reporting.

Solution

AI-Powered Retail Shelf Recognition

Peramal developed an AI-powered Retail Shelf Recognition Platform that uses Computer Vision and Artificial Intelligence to automate product identification and inventory counting.

The solution included:

Product recognition from shelf images.
Automated product identification.
Inventory quantity estimation.
Out-of-stock identification.
Automated stock counting.
Reduced manual data entry.
Faster merchandising operations.

Impact & Benefits

More stores. Faster audits. Better inventory visibility.

90%+ reduction in manual shelf auditing and product counting effort.

Automated product recognition using AI.
Real-time inventory visibility with product names and quantities.
Automated stock counting and reporting.
Improved inventory accuracy.

Faster merchandising visits, enabling teams to cover more stores per day.


Let's Get Your Project Started

Ready to discuss your project? Let's connect and explore how we can help you achieve your business goals.

Cultivating Excellence in IT Solutions: Peramal Services LLC is your trusted partner for cutting-edge IT development and consultancy services. With a focus on quality, affordability, and customer satisfaction, we're dedicated to driving your digital success.

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13284 Pond Springs Rd

Suite 501, Austin, TX 78729

+1 669-208-9389

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