The Copilot caught a £14k pricing error on day two
How an operations team asks plain-English questions and acts on anomaly alerts before they cost a sale.
- Industry
- Multi-channel retail
- Use case
- Kai AI assistant
- The results
- £14k error caught
This is an illustrative scenario built from common Synergia360 workflows.
Meridian Retail turned on the Kai AI Copilot on a Monday. By Tuesday it had paid for itself.
The challenge
The data was all there — orders, listings, payouts, stock — but the answers were locked behind dashboards nobody had time to build. By the time a pricing slip or a looming stockout showed up in a report, it had usually already cost something.
What they did
The team started asking the Copilot questions in plain English instead of building reports:
- “Which SKUs are priced below cost right now?”
- “What’s going to stock out in the next two weeks?”
- “Which channel lost margin last month, and why?”
Kai reads every order, listing and payout in the workspace, so the answer comes back with the working attached — and anomaly alerts surface the problems nobody thought to ask about.
“On day two it flagged a SKU we’d mis-priced after a supplier change. That one alert was a £14,000 save.”
The results
- A £14k pricing error caught in the first 48 hours.
- Stockouts forecast before they cost a sale, not after.
- No dashboards to build and no SQL to write — just questions and answers.
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