Insights

Insights is the AI-driven analytics view at /dashboard/insights. It's not just numbers — it tells you what the numbers mean and what to do about them.

The weekly digest

Every Monday, the AI writes a 3-4 paragraph digest covering last week:

• Revenue: up/down vs last week, vs same week last year, forecast for this week
• Bookings: total, by status, no-show rate
• Popular service: which one booked the most
• Popular staff: who had the most appointments
• Busiest day: which day filled up fastest
• Customer trend: new vs returning, churn signal
• One tip: a specific recommendation (e.g. "Friday 5–7pm is fully booked but Saturday 11am–1pm is empty — try a Saturday promo")

You can also click "Regenerate" to get a fresh take on the same data — sometimes the AI notices different things.

Trend charts

Below the digest:

• Bookings over time: line chart, last 90 days, by status
• Revenue over time: line chart, last 90 days, deposits + on-site
• Service mix: pie chart, last 30 days
• Staff load: bar chart, bookings per staff last 7 days
• Customer cohort: new vs returning, last 30 days

Anomaly detection

If something unusual happens (e.g. Tuesday bookings dropped 40% vs last Tuesday), the AI flags it at the top of Insights with a likely cause and a suggested action.

Forecasts

The AI uses 90 days of history to forecast:

• Bookings next 7 / 30 / 90 days
• Revenue next 7 / 30 / 90 days
• Likely no-shows next week (by customer)
• Staff utilization next week

Forecasts are probabilistic, not magic. They get more accurate as you have more data. The more bookings you have logged, the tighter the confidence interval on the weekly forecast. We surface both the central estimate and the range.

Export

Click "Export" to download all charts as PNGs (for slide decks) or all data as CSV (for spreadsheets).

Privacy

Insights data is processed on BookFlow's side. The M2.7 model only sees aggregated numbers — never individual customer names or contact info.