Webshops & e-commerce · Data, reporting & decision-making
Morning trading brief in plain language
Yesterday'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.
- Avg. time saved
- 2–4 h/week· ≈ 13 h/month
- Rollout
- Quick winDays 1–14
- Who it is for
- Online retail and marketplaces
In short
Morning trading brief in plain language: Yesterday'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. 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
Tuesday 7:30, Monday's data
The AI
- Compares to the same weekday over the last 4 weeks
- Finds the driver of the change
Comes back
“Revenue 3.1M (−12%). Cause: the top campaign's landing page returned errors from 14:00. Ad spend unchanged. Fix the page first.”
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
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