Product reviews / e-commerce ratings: exploiting reviews

Business question
What do product reviews tell us about our ranges and our shopping experience?
What's at stake
For an online apparel retailer shipping 200,000 orders a year on one product line: 2,000 to 4,000 returns avoided a year, or $60k to $120k in return handling cost avoided.
Data required
Customer reviews (text + rating) collected on the site or marketplaces.
Sample result
Recurring themes by product range, with prioritized corrective actions.
Demo · 1 min
Illustrative scenario

Consider an online apparel retailer shipping 200,000 orders a year on one product line. Analyzing its customer reviews surfaces two pain points, description accuracy and the size guide, and product pages are fixed on those two points first.

MetricBeforeAfter
Returns tied to description or size / year20,00017,000
Product line return rate25%23.5%
Handling cost of these returns / year$600k$510k
Trusted for Datakili's business intelligence

See the cockpit in action on this use case

Explore an interactive demo with data representative of your industry, without sending us anything. You can then test on your own data, with an expert by your side.

✓ Immediate demo, no data required
✓ No installation, no IT project
✓ Results presented in a workshop with an expert

Your demo, tailored to this use case

1 minute, no commitment

Selected use case

No spam, unsubscribe in one click

✓

We will contact you shortly to prepare your demo

Video placeholder - cockpit demo on this specific use case, 16:9 format.

Ready to see the cockpit in action?