iTromsø · IBM, VC2
10 minutes per day — time spent reviewing potential stories
Independently reportedMedia & entertainment · Document processing · NLP · In production
Document processing
JD Group · YUNO AI Studio
Vendor-reportedLogistics & transportScaledEnterpriseClassical ML
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by yuno.to (vendor self-report). Checked against the source page on 2026-09-06. 1 of 1 figures below appear on that page word for word.
The problem
Tariff classification was a major operational bottleneck, delaying operations by 30 minutes to 4 hours per new product.
What was deployed
- Vendor
- YUNO AI Studio
- Technique
- Classical ML
- Build or buy
- Built in-house or to order
- Deployment
- On-premise
- Data used
- 25 years of proprietary pre-classified tariff data
- Scale
- hundreds more products per day
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
<10 secondsClassification timefrom 4 hours
“<10s Classification time (from 4 hrs)”
Quoted word for word from the source
ROI as stated: dramatically increasing the profitability of every operation
“Protecting our data was non-negotiable. With YUNO we achieved classification certainty in nanoseconds — that's critical for avoiding costly fines and keeping our clients' operations moving without delays.”
Sources
- yuno.to — vendor self-report
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