B2B / Procurement / SaaS Development
SpecLens AI — Procurement SaaS
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The problem
Procurement teams spend hours manually comparing product specification sheets across vendors. The work is time-consuming and error-prone: teams copy specifications from PDFs into spreadsheets, reformat inconsistent units, and chase missing fields.
A comparison matrix can be out of date by the time the work is complete. The first version of SpecLens focused on a single flow — take uploaded documents and produce a comparison matrix.
The approach
Document ingestion
Accept vendor documents across PDF, Word, Excel, PowerPoint, and HTML, and read them into a common structure.
Extraction & normalization
An AI pipeline extracts specifications and normalizes inconsistent units across vendors so like is compared with like.
Cross-vendor alignment
Align fields across vendors and produce a structured comparison matrix with citations back to the source pages.
Confidence & summaries
Add confidence scoring and executive-summary generation so buyers can trust and act on the comparison.
The results
OutcomesRelated case studies
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