Webshops & e-commerce · Data, reporting & decision-making
Competitor price watch with margin-safe repricing suggestions
Prices 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.
- Avg. time saved
- 2–5 h/week· ≈ 15 h/month
- Rollout
- CoreDays 15–35
- Who it is for
- Online retail and marketplaces
In short
Competitor price watch with margin-safe repricing suggestions: Prices 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. It typically gives back 2–5 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
Daily check on 300 tracked SKUs at 6 competitors
The AI
- Finds 14 products where a competitor is over 5% cheaper and 9 where you are the cheapest by more than 15%
Comes back
Morning list: 14 cuts within the margin floor, 9 increases worth about 210,000 Ft a month; approve all or edit
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
- Morning trading brief in plain languageYesterday's orders, conversion, average basket, ad spend, stock-outs and refund rate are explained in a few sentences on chat every morning, with the one thing that changed and why.2–4 h/week
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