Multi-Industry Visual Transformation

90% faster turnaround delivered through a unified visual content operations platform. Brands across e-commerce, automotive, food and real estate required a scalable creative production model capable of delivering high-volume visual assets with consistent quality across campaigns, catalogs and digital channels. Fragmented vendor ecosystems, inconsistent outputs and slow manual workflows were limiting launch speed and operational scalability.

Centralized visual production workflows accelerated campaign delivery, improved brand consistency and enabled scalable enterprise content operations across multiple industries and channels.

4+: Industries supported through one operating model
90%: Faster turnaround for campaign-ready assets
99%: Sales uplift reported from enhanced imagery

Challenge

Each industry operated with different visual standards, delivery timelines and content requirements, making consistency difficult to maintain across distributed creative workflows. High asset volumes increased operational complexity, while manual review cycles and fragmented vendor coordination slowed launches and reduced quality control across channels and campaigns.

Approach

SBL Infotech deployed MMS — its Managed Media Services platform — to govern the complete visual content lifecycle from intake through editing, quality control and final delivery. Structured workflows standardized asset routing, review cycles and approval management across multiple industries and delivery environments. Dedicated editing teams executed retouching, cleanup, lighting correction and image enhancement workflows tailored to each client’s brand and channel requirements. Multi-level quality control systems ensured consistency across all outputs while cloud-enabled delivery operations supported rapid scaling during peak campaign and seasonal demand periods.

Outcome

The client ecosystem replaced fragmented creative production processes with a centralized visual operations platform capable of supporting enterprise-scale content delivery across industries. Faster turnaround cycles accelerated campaign launches while improving consistency across digital storefronts, advertising assets and customer-facing channels. The engagement established a reusable creative operations model that reduced workflow friction, improved brand presentation and enabled scalable content production without rebuilding processes for each industry or campaign type.

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.