Forecasting: same generation of model, different operational scope
Both Prediko and Lumina use modern AI-native forecasting — this is one of the few areas where the comparison is genuinely close on the engine itself. Both train on your real data, both handle seasonality and promo cycles without manual model tuning, and both produce forecasts you'd trust without rebuilding in a spreadsheet. The difference shows up at the edges. Lumina's forecasting aggregates demand across Shopify, Amazon, retail EDI/sell-through, and B2B orders into a single view — and the model adapts to channel-shift patterns (TikTok Shop launches, Amazon Prime Day spikes, retail seasonality) that don't exist in a Shopify-only dataset. If your business is Shopify-only, Prediko's forecasting will land within touching distance of Lumina's. If you sell on three channels, Lumina's forecasts will be materially more useful because they're built on data Prediko doesn't ingest cleanly.
- Aggregates Shopify, Amazon, retail, and B2B into a single forecast
- Channel-shift modelling for omnichannel demand patterns
- Forecasts roll up to channel, region, and SKU views without rework
- Shopify-only DTC demand with stable seasonality and promo patterns
- Lightweight setup — usable forecast in days, not weeks
- AI-native model that handles new SKUs without manual tuning