For Amazon private-label sellers & product research teams

Turn piles of Amazon reviews into prioritized product improvements.

LaunchLab reads thousands of customer reviews, classifies each into one of 12 problem categories, clusters the complaints behind semantic similarity, scores each fix opportunity from observable evidence — and produces a boardroom-ready report you can send to engineering.

Capabilities

Each line of intelligence links back to a real review.

Every claim in LaunchLab is traceable to its source review, and Opportunity Scores are computed — not vibes.

12-category AI classifier
Every review lands in one of 12 problem buckets — defects, durability, design, material, performance, usability, size/fit, safety, packaging, delivery, seller, feature requests.
Semantic clustering
"The handle broke." "The grip snapped after two weeks." "The plastic handle cracked." — one cluster, named by AI.
Deterministic Opportunity Score
No vibes: a 0-100 score from frequency, severity, cross-product spread, frustration, persistence, and feasibility.
Competitor comparison
Upload two SKUs and see which issues are universal across the category vs unique to your product.
AI Product Opportunity Report
One click to synthesise a 7-section boardroom report — every conclusion linked to its evidence.

Workflow

From CSV to decisions.

No setup, no integration, no AI guessing. Upload, analyse, prioritise.

1
Upload
A CSV of customer reviews — one row per review, with product ID, rating, and date.
2
Analyse
AI classifies each review, clusters similar complaints, scores opportunities.
3
Decide
Triage the ranked dashboard. Drill into evidence. Share reports with engineering.
Ready to see what your customers actually want?
Create a free account, upload your first CSV, and find the top three product improvements inside five minutes.