Intelligence, Orchestrated.
Saudi companyRFQ to quote automation
Extract RFQ line items, match the catalog, apply pricing rules, generate quote drafts, and route approvals. Human approval stays in the loop.
Sales teams spend hours reading RFQs, looking up products, copying numbers into spreadsheets, and routing approvals. The bottleneck is rarely capability. It is the time between RFQ in and quote out.
A governed pipeline that converts RFQs into quote drafts using extraction, catalog matching, pricing rules, and exception handling. Sending stays manual until UAT and a security gate pass. Audit log on every action.
Parse PDFs, emails, and forms. Extract line items, quantities, specs, terms. Flag anything missing.
Map line items to your catalog. Apply pricing rules, discount tiers, and approval thresholds. Generate a quote draft with reasoning.
Send the draft to the right approver with the relevant attachments. Track status, log audits, hand back for human send.
Alrouf auto-quotation workflow: RFQ-to-quote in lighting and manufacturing, catalog matching, pricing logic with discount tiers, and approval routing. Proof artifacts available under NDA.
Full pilot: SAR 60,000 to 80,000 over 6 to 8 weeks. Mini-pilot: SAR 20,000 to 30,000 over 2 to 3 weeks.
No by default. The pilot produces draft outputs for human approval. Sending automation requires later approval and change control.
Yes. Arabic and English are first-class. Mixed-language RFQs are tested in UAT.
The system uses explicit rule precedence with a documented order. Conflicts surface as flagged exceptions for human resolution, not silent guesses.
Yes when the logic can be formalized into rules, tables, or approval thresholds. We start with the minimum viable ruleset and extend.
Default is read-only via API or scheduled exports. Write actions require UAT and explicit change control.
Share the workflow, systems, volume, and goal. We reply with scope, KPIs, timeline, and a SAR estimate within 24 hours.
Start nowSaudi companyRFQ to quote automation
Extract RFQ line items, match the catalog, apply pricing rules, generate quote drafts, and route approvals. Human approval stays in the loop.
Sales teams spend hours reading RFQs, looking up products, copying numbers into spreadsheets, and routing approvals. The bottleneck is rarely capability. It is the time between RFQ in and quote out.
A governed pipeline that converts RFQs into quote drafts using extraction, catalog matching, pricing rules, and exception handling. Sending stays manual until UAT and a security gate pass. Audit log on every action.
Parse PDFs, emails, and forms. Extract line items, quantities, specs, terms. Flag anything missing.
Map line items to your catalog. Apply pricing rules, discount tiers, and approval thresholds. Generate a quote draft with reasoning.
Send the draft to the right approver with the relevant attachments. Track status, log audits, hand back for human send.
Alrouf auto-quotation workflow: RFQ-to-quote in lighting and manufacturing, catalog matching, pricing logic with discount tiers, and approval routing. Proof artifacts available under NDA.
Full pilot: SAR 60,000 to 80,000 over 6 to 8 weeks. Mini-pilot: SAR 20,000 to 30,000 over 2 to 3 weeks.
No by default. The pilot produces draft outputs for human approval. Sending automation requires later approval and change control.
Yes. Arabic and English are first-class. Mixed-language RFQs are tested in UAT.
The system uses explicit rule precedence with a documented order. Conflicts surface as flagged exceptions for human resolution, not silent guesses.
Yes when the logic can be formalized into rules, tables, or approval thresholds. We start with the minimum viable ruleset and extend.
Default is read-only via API or scheduled exports. Write actions require UAT and explicit change control.
Share the workflow, systems, volume, and goal. We reply with scope, KPIs, timeline, and a SAR estimate within 24 hours.
Start now