Create one traceable RFQ record
Associate the sender, company, application, part or service, quantities, timing, files, revisions, and source message without losing the original evidence.
AI RFQ intake
Can AI organize an RFQ before sales and engineering spend time?
SocialCode designs AI RFQ intake workflows for manufacturers and industrial suppliers that need to capture application, specification, volume, material, timing, geography, certification, and document context before qualified review begins.
DIRECT ANSWER
RFQ automation should organize evidence, not decide manufacturability.
Industrial requests often arrive through email, forms, portals, attachments, and informal conversations. The AI role can classify the request, extract supported fields, identify missing information, match approved capability criteria, and assign an owner. Engineering feasibility, safety, tolerances, capacity, cost, and commercial commitments remain governed decisions.
Structure the supplied requirements
Identify supported dimensions, materials, processes, standards, certifications, delivery expectations, and questions while flagging uncertain extraction.
Request the missing decision inputs
Use an approved checklist to ask for information required before commercial or engineering review, without inventing specifications.
Send the RFQ to the right review path
Apply explicit product, process, geography, account, priority, and exception rules and preserve the reason for every recommended route.
WHAT CHANGES
What should improve before technical review?
Complete context
Sales and engineering begin with the original evidence, extracted requirements, missing inputs, and customer questions in one current record.
Faster ownership
Supported opportunities reach the right commercial or technical owner while obvious misroutes and exceptions become visible.
Traceable revisions
Changed specifications and document versions remain associated with the request rather than silently overwriting prior information.
QUESTIONS ANSWERED
What do business leaders usually ask next?
Each answer is written to help you make the next decision without forcing a sales conversation.
Can AI determine whether an RFQ is manufacturable?
It can compare supplied information with approved capability rules and flag questions. Final feasibility, tolerance, safety, quality, capacity, and engineering decisions should remain with authorized people.
Can it read drawings and attachments?
Supported files can be extracted or summarized with confidence checks, but the original document remains authoritative and critical dimensions or requirements require human verification.
How are RFQ revisions handled?
Every revision should retain source, timestamp, version, extracted changes, and review status so the team can identify what changed before using it in a decision.
START WITH THE CONSTRAINT
Which RFQ inputs repeatedly delay qualified review?
Bring us representative requests, required fields, capability rules, documents, and routing paths. We will separate safe intake automation from engineering authority.
Start the diagnostic