Intelligence for skincare & clinics
Omni-channel sell-through analytics for indie beauty brands.
Unify retail sell-out data from wholesale partners with your e-commerce store — one dashboard, no Excel, no IT team.
Stop SKU proliferation and regional stockout crises before they hit. TaskifAI aggregates sell-through data from every clinic, spa, and retail partner — merged with your DTC performance — so you see what's actually selling at the shelf, not just what you shipped.
Customer story · BIBBI Parfum
A niche fragrance house stopped doing this in-house
BIBBI Parfum grew across retail partners in the EU and UK, and the reporting grew with it. They handed the whole thing to us. In their own words, before and after.
Before — doing it in-house
"The biggest challenge was that all our customers reported in different ways, which made it difficult to get a collective picture of our sell-out performance. We lacked the possibility to easily compare results between months and years and to analyze development per SKU."
After — TaskifAI runs it
"We can now clearly access performance data that makes it possible to compare different periods, analyze development over time, and follow our growth curve. Being able to rank performance at both SKU and store level gives us much better insight into what drives sales and where there is potential for improvement."
Time back
"We save a large amount of time because the data is already structured and ready for analysis."
Production planning
"We have better conditions for planning production because we can clearly see how volumes develop per SKU."
Investor reporting
"This has made our investor reporting much smoother and more effective."
The mechanism
Built for beauty brand sell-through visibility across every channel
Partner sell-out data consolidation
Merge retail sell-out data from clinics, spas, and wholesale partners with your e-commerce performance. One unified view of what your brand is actually selling across every channel.
AI-driven skincare demand forecasting
Don't wait for your dashboards to load. Get instant alerts when a specific skincare serum is trending in one region but overstocked in another.
Confidential wholesale data, protected by design
Built in Sweden with EU data residency and per-customer row-level isolation. Your confidential sell-out, margin, and channel data is encrypted at rest and never used to train AI models.
From the blog
Industry insights for beauty brands
What is sell-through rate? The metric every wholesale beauty brand must track
How to calculate sell-through rate, what good looks like, and how to use it to benchmark retail partner performance.
OperationsThe real cost of Excel hell: how beauty brands waste 40 hours a month on reporting
The direct and hidden costs of manual sell-out data consolidation — and what actually fixes it.
Proven impact
What our customers say
"We can now clearly see how sell-through volumes develop per SKU across all regional wholesale partners in real-time. This has made our inventory planning and monthly investor reporting much smoother, more accurate, and completely automated."
Stina Seger & Jan Vilhelm Ahlgren
Co-founders · BIBBI Paris
Pricing
One offer. Priced by the size of your problem.
One service, one published formula, no quote to negotiate. The base covers the parts that stay the same no matter how many resellers you have: running your month, writing the report, watching for anomalies, and your login. The per-reseller rate covers the part that grows: every extra format we have to read, maintain and watch.
The Sell-Out Close
€1,500
per month
€16,500
annual prepay · 12 for 11
Monthly billing · 6-month initial term, then rolling
Included, always
- Setup of all your resellers
- Full historical backfill — all the data you have
- A finished month, with the report in your inbox
- That month of data, ERP-ready
- Continuous anomaly watch, flagged as it happens
- Your login: performance views, exports, questions, and adding new products
- Ad-hoc questions and small requests, within reason
- New reseller later: no fee, +€75/month from the month added
Quoted separately, so the price above stays honest: genuinely custom analysis projects, and data that needs manual re-keying (scans, images).
If you pay for the year
You get 12 months for the price of 11, plus a yearly review where we sit down and walk you through what your numbers actually did.
Where the price sits
On our estimate, a 20-reseller brand spends 10 to 15 hours a month on this, in spreadsheets that still carry human error into reorder decisions. The realistic alternative is part-time analyst capacity at €2–4,000 a month. One reorder you don't get wrong pays for the year.