AI Product Comparison Engine
Search any product and get an AI-built, weighted comparison table in seconds — with live multi-user editing, so a team can score options together instead of passing a spreadsheet around.
A TecXra Labs project exploring how AI-assisted search and real-time collaboration change the way people evaluate and choose between products.
Comparing options across scattered listings ate up the afternoon
Real product research means a dozen open tabs, specs copied into a spreadsheet by hand, and a "how important is this one, really?" argument every time someone adds a new option. By the time the sheet is usable, most of it is already out of date.
And it's rarely a solo decision. Whoever built the spreadsheet becomes the bottleneck for every update, and everyone else is stuck commenting on a static snapshot instead of actually working through the trade-offs together.
- Manually copying prices, specs, and reviews from listing to listing
- No consistent way to weigh "this feature matters more than that one"
- Comparisons go stale the moment someone stops maintaining the sheet
- No way for more than one person to work on the same comparison at once
One search, an AI-built table, scored together in real time
TecXra Labs built a tool that turns a single product search into a structured comparison: an AI agent searches the web, pulls matching listings, and extracts their specs, pricing, and review signals into a shared table — no manual data entry.
From there it's a live document, not a snapshot. Anyone can set how much a feature should count, mark whether higher or lower is better, add a product or a custom feature row, and the weighted total score for every option recalculates instantly for everyone looking at it.
A look inside the workflow
A product name goes in; a scored, structured comparison comes out — the heavy lifting (finding listings, reading specs, weighing what matters) happens automatically, leaving people to make the actual call.
Searcher
Types a product name into the search bar.
AI Search Agent
Runs a live web search and retrieval pass to find matching listings.
Spec Extraction
Pulls structured data — price, materials, dimensions, and more — out of each result.
Comparison Table
Assembles the results into an editable, feature-by-feature table.
Collaborative Scoring
People join the same table live to set importance weights and scores.
Weighted Total
Recalculates and ranks a total score per product on every change.
What the system actually does
AI-assisted product search
Type a product name and the agent finds matching listings and pulls specs, pricing, and reviews from across the web.
Auto-built comparison table
Every result lands in a structured, feature-by-feature table automatically — nothing typed in by hand.
Weighted scoring
Set an importance weight and a "how to compare" direction per feature; the total score per product is computed, not guessed.
Real-time collaboration
Everyone sees the same table update live — features, weights, and scores stay in sync across every collaborator.
Custom features & products
Add a comparison criterion that matters to you, or bring in another product at any point — the scores update instantly.
Product-line deep dives
Compare every variant inside a single product line side by side, not just across different brands.
Built on
AI / Orchestration
Frontend
Backend
Data
What it looks like in use
Start with a search — the agent surfaces matching listings before you finish typing, then builds the table from whatever you pick.
What changed
Illustrative Impact — representative outcomes for this class of system, not measured client figures.
Faster research
A search-to-comparison table that used to take an afternoon of copy-pasting now assembles itself.
Consistent criteria
Weighted scoring replaces "it just felt right" with a number everyone agreed on.
No manual spec entry
Price, materials, dimensions, and more are pulled in automatically, not copied by hand.
Shared decision-making
The whole group works from one live table instead of comments on a static spreadsheet.
How it was built
Search & retrieval design
Built the web search and retrieval pipeline that finds and extracts listing data for a given product query.
Comparison & scoring engine
Designed the weighted-scoring model — per-feature importance, comparison direction, and the rollup total.
Real-time collaboration layer
Added live multi-user editing so a table's features, weights, and scores sync instantly across everyone viewing it.
Multi-category testing
Validated the approach beyond a single product line — from one shoe model to an entire product line to competing brands.
Need to compare more than two options, fast?
If your team is still passing a spreadsheet around to make a buying decision, let's talk about what an AI-assisted, collaborative comparison would look like for you.