Playground/ AI & Machine Learning/ Similarity Explorer
🤖 AI & Machine Learning

Similarity Explorer

Pick a product. Find the most similar ones, and see exactly why.

Demonstration using representative data: not a real product catalog.

Most Similar Products

What is happening?

Similarity is computed from four attributes: category (do they serve the same purpose?), price proximity, color, and material: weighted 40/30/15/15 and combined into a score out of 100. This is the same style of transparent, explainable scoring as Competitor Explorer, applied at the product level instead of the brand level.

Under the Hood
Product selection ↓ Pairwise attribute comparison against every other product ↓ Weighted similarity score, sorted and ranked

Inputs

  • Category, price, color, material

Processing

  • Exact-match scoring (category/color/material)
  • Price proximity
  • Weighted sum (40/30/15/15)

Output

  • Ranked similarity list

Technology

  • Vanilla JavaScript

Explore another experiment

More Playground experiments are on the way.