Demand Forecasting
SKU-level and channel-level forecasts using time-series models (Prophet, ARIMA, ML ensembles). Inputs: 24+ months of history. Outputs: weekly forecast, confidence bands, anomaly alerts.
Descriptive, diagnostic, predictive and prescriptive analytics — packaged as recommendations leadership can act on, not reports that gather dust.
SKU-level and channel-level forecasts using time-series models (Prophet, ARIMA, ML ensembles). Inputs: 24+ months of history. Outputs: weekly forecast, confidence bands, anomaly alerts.
RFM, behavioural and value-based segmentation that informs marketing, pricing, and retention strategy.
Predictive churn scoring with intervention recommendations. Used by fitness studios, loyalty programs and SaaS clients.
Multi-touch attribution across paid, organic and offline. Move beyond last-click. Reallocate spend with confidence.
Price elasticity modelling, basket analysis, margin diagnostics — where exactly is the money leaking?
"Revenue dropped 12% last month — why?" We diagnose it across cohorts, channels, products and geographies.
We bring rigor — confidence intervals, hypothesis tests, A/B test design — without the academic jargon. The deliverable is always a decision recommendation, not a 40-page methodology appendix.
Send us the question. We'll tell you whether it's answerable, how, and roughly what it costs.
Ask the Analytics Team