eCommerce Image Editing Solutions

60%+ faster image editing workflows delivered for large-scale e-commerce catalog standardisation. A US-based e-commerce company managing a high-volume online product catalog required a scalable image processing workflow to improve visual consistency across multiple product categories. Inconsistent product imagery, slow manual editing and fragmented workflows were affecting brand presentation, customer engagement and product launch timelines.

AI-assisted image processing standardised e-commerce catalogs, accelerated product launches and improved customer engagement through consistent visual presentation.

Service: Custom Development, Generative AI, Workflow Automation

−60%+: Reduction in image processing time
High-volume: Catalog standardisation at scale
+Improved: Customer engagement and catalog quality

Challenge

The client’s product catalog contained inconsistent imagery across lighting, backgrounds, color balance and formatting standards, creating an uneven customer experience across the online storefront. Manual editing processes slowed product uploads and increased operational dependency on internal design resources, while maintaining a consistent visual identity across diverse product categories proved difficult at scale.

Approach

SBL Infotech implemented a structured image editing workflow combining automated processing systems with category-specific enhancement pipelines. The engagement included background removal, product isolation, color correction, retouching and catalog optimization tailored to different product types including apparel, jewelry and reflective merchandise. Standardized editing guidelines ensured consistency across all product imagery while AI-assisted processing tools accelerated turnaround times and reduced manual effort. Batch-based workflows, quality validation and continuous refinement cycles enabled scalable image enhancement operations across the client’s growing catalog.

Outcome

The client transformed fragmented editing operations into a streamlined visual production pipeline capable of supporting faster product launches and consistent catalog presentation at scale. Improved image quality strengthened brand perception and enhanced customer engagement across digital storefronts. The engagement reduced operational overhead, accelerated go-to-market timelines and established a scalable catalog management workflow ready to support future product expansion and higher-volume e-commerce operations.

IX Case studies

More from the field

US university research initiative

Reliving History with Geospatial Intelligence

260 years of fragmented historical maps transformed into a georeferenced spatial database for anthropological and land-use analysis. A prominent US university needed to study the historical evolution of Uxeau, France, across multiple centuries of land ownership, taxation, and agricultural activity. The research depended on digitising and harmonising vintage maps dating back to 1759 — each with different scales, formats, and levels of degradation — into a single spatially accurate GIS environment suitable for comparative analysis. 260+ years of historical mapping digitised and layered. Lambert II precision georeferencing using Esri GIS tools. Multi-era land parcel and feature extraction delivered at scale.

"Historical GIS digitisation transformed fragmented archival maps into a searchable spatial database, accelerating anthropological research and long-term land-use analysis. "

US radiology AI company

AI-Powered CT Scan Annotation

30,000+ CT scans annotated at 98.9% segmentation accuracy for AI-driven radiology models. A US-based MedTech AI company developing radiology models for tumour detection and analysis required clinically precise annotation support to accelerate model training and validation. Existing workflows faced rising costs, limited access to qualified medical annotators and growing compliance pressure around handling sensitive patient imaging data.

HIPAA-compliant medical annotation workflows improved radiology AI accuracy, accelerated tumour detection model training and reduced operational costs significantly.

A US-based mortgage company

Mortgage Foreclosure Data Management

40%+ faster foreclosure data processing with 50% higher accuracy across multi-county property records. A US-based mortgage data company managing property intelligence across more than 155 million properties and 3,000+ counties required a scalable operational model for foreclosure data collection and processing. Their existing workflows relied heavily on manual back-office operations, creating delays, inconsistencies and rising operational overhead across fragmented government data sources.

Standardised foreclosure processing improved nationwide property data accuracy, reduced turnaround times and created a scalable mortgage intelligence operations framework.