Sunco.com × Rastro AI
Sunco.com is an American lighting supplier dedicated to empowering electrical contractors to build better, faster, and under budget. Sunco's vision is to make building in America accessible and abundant, starting with lighting and electrical supply.Rastro helped Sunco accelerate tens of thousands of product content decisions, achieving 98% attribute coverage and saving 80+ hours per week.
Spec precision is a strict requirement for Sunco's customers. Rastro is a breakthrough in terms of our ability to both increase our bar for data quality, and shape the texture of that data.
Context
Sunco manages tens of thousands of product decisions every year, from onboarding new SKUs to enhancing data fields, upgrading imagery, and executing rigorous QA. These complex workflows ensure accuracy and consistency, yet they can limit the pace of innovation when handled entirely through manual effort. Rastro's automation technology enhances Sunco's catalog operations by unlocking faster iteration while preserving the highest standards of quality.
Rastro delivers PIM-level governance combined with autonomous agents built specifically for large product catalogs. Rastro agents intelligently extract product specifications from low-fidelity OEM sources, verify data against Sunco standards, and optimize imagery to align with Sunco's creative direction and brand guidelines. Developed by a team with deep experience in large-scale e-commerce automation at Shopify, Rastro powers scale, speed, and creative consistency for Sunco's ever-expanding catalog.
Capabilities
1. Automated OEM Ingestion with Human Verification
Rastro's AI agents aggregate and normalize OEM-provided specifications, extract relevant attributes, and normalize them to Sunco's schema—eliminating manual data entry and verification. Each captured field is source-linked for traceability and audit.
2. AI-Assisted Imagery
For SKUs lacking hero angles or consistent backgrounds, Rastro's agents locate and enhance images following Sunco's brand presets. Human reviewers approve batches for accuracy and quality. This enables a direct improvement in assets per page.
3. Controllable AI Agents
Agents can be tuned by product family (e.g., outdoor vs. indoor fixtures). Teams can run test batches, review confidence scores, and revert changes when needed. Low-confidence results are routed to review queues; high-confidence data auto-accepts.
4. Rapid Integration and Support
Using API-based integration, Sunco aligned its schema with Rastro to match Shopify metafields. The Rastro onboarding team provided real-time support via chat and calls, accelerating category rollout.
Our partnership with Rastro is the difference between certain types of work never leaving backlog versus those projects becoming achievable within the same month or quarter.
Process
Scope & Mapping
Confirm target categories and required attributes using Shopify metafields.
Crawl & Extract
Pull specs, tables, metadata, and imagery from OEM product detail pages and PDFs, preserving traceability.
Normalize & Validate
Standardize formats, units, and required fields to prevent incomplete publishes.
QA Controls
Run test batches, review confidence scores, and fine-tune extraction rules.
Publish & Refresh
Push approved SKUs to Sunco's systems; refresh automatically as OEM data evolves.
Results
Each of these gains compounds toward Sunco's mission: enabling electrical contractors to build better infrastructure, more quickly, with lower costs.
The support was immediate from onboarding to live troubleshooting. Questions were answered within minutes.
Want to accelerate your catalog operations with AI?
Let's walk through your schema and a small test batch together.