Webshops & e-commerce · Data, reporting & decision-making
Dead stock and stock-out losses priced every Monday
One report shows which SKUs have not sold in 90 days and how much cash sits in them, which items ran out and roughly how much revenue that cost, and which markdown or bundle would clear the slow ones without killing margin; a decision list, not a spreadsheet.
- Avg. time saved
- 2–4 h/week· ≈ 13 h/month
- Rollout
- CoreDays 15–35
- Who it is for
- Online retail and marketplaces
In short
Dead stock and stock-out losses priced every Monday: One report shows which SKUs have not sold in 90 days and how much cash sits in them, which items ran out and roughly how much revenue that cost, and which markdown or bundle would clear the slow ones without killing margin; a decision list, not a spreadsheet. It typically gives back 2–4 hours a week to whoever does this by hand today. Built for: Online retail and marketplaces.
Typical hours saved per week for the people doing this by hand today, from the 2026 report's ranges. The AI writes what that time makes possible.
Example
Comes in
Monday 6:00: stock file with 3,800 SKUs, 12 weeks of sales and the current purchase prices
The AI
- Finds 214 SKUs unsold for 90+ days worth 6.4 M HUF at cost; 31 SKUs were out of stock for 5+ days last week
- Proposes a 20% markdown on 60 items and a bundle for 12 seasonal ones
Comes back
Two-page brief in the manager's inbox with the list ready to import into the shop; dead stock down by a third in two months
Similar solutions
- Webshop anomaly detection (payments & coupons)Alerts instantly if card payment breaks or a mistyped coupon code causes loss-making purchases.1–3 h/week
- True margin per product after returns, shipping and adsMarketplace commissions, payment fees, shipping, returns and attributed ad spend are pulled into one margin figure per SKU and channel, so the weekly report shows which bestsellers actually lose money.3–6 h/week
- Return reasons and reviews turned into product fixesFree-text return reasons, review comments and support chats are clustered per product each week: sizes running small, missing parts, misleading photos, so buying and content teams see what to change first.2–4 h/week
- Competitor price watch with margin-safe repricing suggestionsPrices of your key products are checked daily on competitor shops and price-comparison sites; where you are undercut or leaving money on the table, the AI suggests a new price above your margin floor for one-click approval.2–5 h/week
Related terms
Have a process like this? Tell us about it.
Book a call