Post-launch monitoring · Language school

Import your accounting, compare actual to forecast, get alerts before drift becomes a crisis.

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Market context

Launching a Language school business is not enough: without rigorous post-launch monitoring, 65 % of projects drift in the first 18 months. MarketLens automates that monitoring: balance sheet / general ledger / invoice import, AI extraction, auto-filled financial tables, forecast/actual comparison, and targeted alerts on cash, margin and payroll.

Key indicators

Supported documents
PDF · Excel · CSV · Word
Balance sheet, ledger, invoices, statements
Extraction
AI-powered
No manual entry, seconds to process
Alerts
6 critical KPIs
Cash, margin, working capital, payroll, DSO/DPO, annual variance
Comparison
Actual vs forecast
Monthly and YTD, % variance, alerts above 10 %

Supported data sources

Data source Supported formats
Balance sheet / tax filingPDF, ledger export, tax authority format
General ledgerExcel, CSV, exports from accounting platforms
Customer/supplier invoicesPDF (with OCR), Excel, zip batches
Bank statementsPDF, OFX, CAMT.053, PSD2 exports
Payroll and social chargesPayroll reports, PDF payslips, exports

Smart alerts triggered

90-day projected cash
Threshold < 1 month of fixed charges
Gross margin drift
Gap > 10 % vs business plan
Payroll ratio
Exceeding the 15 % net margin target
DSO / DPO
Extension > 15 days vs plan
Working capital surge
Cumulative increase > 20 % vs forecast
Cumulative annual gap
Revenue under-performance > 15 % vs plan

Monthly workflow

1
Day 1-5 — Import last month's accounting documents (balance sheet, invoices, payroll)
2
Day 5-7 — Automatic AI extraction: revenue, purchases, charges, working capital, cash
3
Day 7-10 — Actual vs forecast comparison, value and % variances
4
Day 10-12 — Automatic alerts on 6 critical KPIs
5
Day 12-15 — Dashboard shared with bank, accountant, investors

Frequently asked questions

What documents can I import to monitor my language school business?
MarketLens accepts all standard accounting formats: PDF balance sheets, Excel or CSV general ledger, client/supplier invoices, bank statements, exports from Pennylane/Dougs/Indy/Tiime/Sage. The AI automatically extracts items (revenue, purchases, salaries, external expenses, working capital, cash) and populates your monitoring tables in seconds, with no manual entry.
How is actual compared to forecast on a language school project?
The MarketLens monitoring dashboard shows for each month: forecast (from your business plan), actual (from imported documents), absolute and percentage variance. Variances >10 % trigger an alert (revenue under-delivery, cost overrun, margin below plan). You instantly see which lines are drifting and the impact on the year.
Which alerts are triggered automatically?
MarketLens continuously calculates 6 critical alerts: (1) 90-day projected cash below threshold, (2) abnormal working-capital rise, (3) gross margin drift >10 %, (4) payroll exceeding target ratio (vs 15 % net target), (5) DSO or DPO deterioration, (6) cumulative year vs business plan variance >15 %. Each alert suggests a quantified recommended action.
When does monitoring become critical for a language school business?
From the very first month of activity. For a language school project with initial investment between 25K € and 120K €, working capital and real cash quickly diverge from forecast: a client payment delay, a weaker season, a poorly estimated variable cost, and the 30-month payback stretches. Continuous monitoring detects these drifts at T+30 days, not T+12 months.

Monitor your business continuously, with zero manual entry

MarketLens imports your accounting documents, extracts data via AI, compares actual to forecast, and warns of drift before it becomes a crisis.

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