Sparkify Social builds AI-powered RFQ automation systems that help businesses process incoming quotation requests, extract requirements, organize pricing inputs and prepare quotes for human review faster.
Built for businesses handling quotation requests through email, PDFs, spreadsheets, drawings, BOMs and other business documents.
Manual RFQ Processing Slows Down Quotation Teams
Many quotation workflows still require teams to manually open emails, read attachments, identify specifications, copy information into internal systems, check pricing, calculate margins and prepare quotations. The result is slower response time, repetitive work and inconsistent processing.
Manual Data Entry · Slow Requirement Extraction · Pricing Bottlenecks · Missing Information · Approval Delays · Disconnected Systems
What an RFQ Automation System Can Do
Incoming RFQ → Email / PDF / Excel / Drawing / BOM → Requirement Extraction → Data Validation → Missing Information Detection → Product or Specification Matching → Pricing Inputs → Cost and Margin Logic → Human Review and Approval → Quotation Preparation → CRM / ERP Update → Follow-Up
The exact workflow depends on the company’s pricing rules, data sources, approval process and existing systems.
Automatically Structure Incoming RFQ Data
AI can help convert unstructured quotation requests into structured information that can be reviewed, validated and passed into downstream systems.
Customer information · Product or part requirements · Quantity · Dimensions · Technical specifications · Materials · Delivery requirements · Requested dates · Commercial requirements · Attached documents · Missing fields · Special notes
For technical, commercial or high-risk requirements, extracted information can be reviewed by a human before it moves forward.
Connect RFQs With Your Pricing Workflow
After requirements are structured, the system can support the next stages of quotation preparation using approved company data and rules.
Historical Quote Lookup · Supplier Pricing · Inventory Checks · Cost Calculation · Margin Rules · Quotation Preparation
Automation Without Losing Pricing Control
RFQ automation should reduce repetitive work without handing uncontrolled pricing authority to AI. Sparkify can keep important commercial decisions under human approval.
AI Prepares — Extracts requirements, structures data, checks available information and prepares the quotation workflow.
Human Reviews — The quotation team verifies requirements, pricing, margins and commercial terms.
System Completes — After approval, the system can generate the quotation, update connected systems and continue the workflow.
Who Can Use RFQ Automation?
Industrial Manufacturing · Precision Engineering · Industrial Distribution · Automation and Robotics · Machinery and Equipment · Electrical and Electronic Components · Process Equipment · B2B Suppliers
RFQ Automation That Connects With Existing Business Systems
Email · CRM · ERP · Inventory systems · Supplier databases · Pricing databases · Product catalogs · Internal APIs · Spreadsheets · Document storage · Quotation software · Custom internal systems
Integration availability depends on the APIs, permissions and technical capabilities of each system.
RFQ Automation FAQ
What is RFQ automation?
Can RFQ automation read PDFs and spreadsheets?
Can it process technical drawings or BOMs?
Can RFQ automation connect with our ERP or CRM?
Can the system automatically calculate pricing?
Still Building Quotes Manually?
Show us how RFQs move through your team today. We will identify where extraction, pricing preparation, approvals and quotation handling can realistically be automated.