Most businesses already have the data and no view of it. We take the exports you're sitting on, clean them, and hand back one live dashboard — KPIs, anomaly alerts, forecasts and an AI copilot that answers questions by computing from your actual numbers instead of guessing.
Column mapping, date normalisation, de-duplication and type coercion, with a transparent log of every correction so you can trust the inputs.
Revenue, volume, customers and average value with period-on-period movement, channel mix and top sources — one screen, no report building.
Z-score scanning across every trading period, flagging unusual weeks with severity before a human would notice them.
A trend and seasonality model projecting weeks ahead with honest confidence bands, so you can plan staffing and purchasing against something.
Ask in plain language and get an answer aggregated from the live dataset — with numbers, not canned marketing text.
Our analytics engine is a working product, not a mockup. The InsightAI case study shows it configured for a hotel operation, with anomaly scans, a twelve-week forecast, guest segmentation and a one-click owner report — all computing live in the browser from a seeded dataset.
Whatever exports you already have — CSV from your booking system, POS, accounting package or CRM. The cleaning pipeline handles the mess; you don't need to tidy it first.
We scope data handling explicitly per engagement and use the minimum necessary. In our demonstration product, CSV import runs entirely in your browser and the file never leaves your machine.
No. That's the point. The dashboard is built to be read by an owner or manager, and the copilot answers plain-language questions without anyone writing a query.
Yes, where an API exists. We often start with exports to prove the value quickly, then wire up live connections once the dashboard is earning its place.
We test your brand across ChatGPT, Gemini, Perplexity and Claude with your real customer questions, benchmark named competitors, and send you the scored report in 3 days.
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