Quote Comparison Engine
Supplier quotes arrive in different formats — email, PDF, WhatsApp messages. Sila parses them all, normalizes the data, and gives you a scored comparison in minutes.
Comparing quotes should not be manual data entry
A typical structural steel RFQ generates 4-5 supplier responses in different formats. Someone has to manually extract unit prices, lead times, payment terms, and validity from each one.
Real example: SAR 92,500 structural steel procurement
How it works
Collect
Sila monitors your email, WhatsApp, and file uploads for incoming supplier quotes.
Parse
AI extracts unit price, total, lead time, payment terms, validity, and delivery details from any format.
Normalize
All quotes converted to a standard structure. Currency, units, and terms aligned for comparison.
Score
Configurable scoring: weight price, lead time, reliability, and payment terms. Best match surfaced.
Capabilities
Multi-format parsing
PDF, email body, WhatsApp messages, Excel attachments. Arabic and English documents. No reformatting required.
Configurable scoring
Set your own weights: 40% price, 30% lead time, 30% reliability — or any combination that fits your priorities.
Full audit trail
Every quote, every extraction, every scoring decision logged. Know why any supplier was recommended.
Historical comparison
Compare current quotes against past purchases. Track price trends per supplier over time.
Automatic collection
Sila watches for incoming quotes and adds them to the comparison automatically. No manual upload needed.
Validation checks
Flags inconsistencies: quote validity expired, delivery date impossible, unit price significantly different from historical.
Start with a free process audit
On-site. No obligation. No software to install. We document your procurement workflow and deliver a prioritized automation roadmap.