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AI Solutions

AI Automation for Steel Operations

SteelForest helps steel companies reduce manual coordination, document handling, RFQ processing, and operational follow-ups through focused AI workflows.

Most operational work is still handled manually.

Teams spend time reading emails, extracting specifications, copying data, comparing supplier responses, checking documents, and chasing updates across different systems.

AI should remove work, not add another tool.

SteelForest focuses on AI workflows that fit into existing operations — reading documents, extracting data, preparing structured requests, comparing options, and highlighting what needs attention.

AI prepares. Humans approve.

Automation Use Cases

RFQ Email Processing

Extract material, grade, size, quantity, delivery needs, and buyer context from incoming RFQ emails.

Document Extraction

Read invoices, delivery notes, certificates, and order documents to structure key information.

Quote Comparison

Compare supplier responses, pricing, availability, payment terms, and delivery conditions.

Supplier Follow-up Automation

Prepare follow-up messages, status checks, and reminders for pending supplier responses.

Logistics Status Automation

Turn pickup, tracking, ETA, and delivery updates into shared operational status.

Operational Reporting

Summarize order progress, bottlenecks, supplier performance, and workflow delays.

Start with one workflow. Prove value before scaling.

SteelForest can begin with a focused automation opportunity — one inbox, one document flow, one RFQ process, or one reporting workflow — and expand only after the value is clear.

No platform migration required. Start with one painful workflow.

Low-risk pilot

Have a manual steel workflow worth automating?

Let's explore where AI can reduce operational friction in your procurement, supplier, document, logistics, or reporting workflows.