Retail and FMCG AI. Demand forecasting from six fused signals. Promotion ROI prediction before campaigns run. Customer lifetime value modelling. Logistics pre-positioning via KCL.
ZYNC fuses six demand signals — historical sales, seasonality, promotions, events, weather, KCL logistics signals from ROAM — into SKU-level forecasts that outperform any single-signal model by 34%.
Six signals fused into one SKU-level forecast. Measurable improvement over single-signal baselines.
Predicts uplift, cannibalism, pull-forward, post-promo dip before campaign runs. Net margin focus.
12-month and 36-month CLV per segment. Identifies high-leverage loyalty investment opportunities.
Non-classified signals flow from ZYNC to sibling models — enabling cross-domain intelligence that no single-domain AI can produce.
Anonymised demand signals · promotional response patterns · inventory velocity data · seasonality models
Six-signal demand fusion. Promotion ROI prediction before campaign launch. Customer lifetime value modelling. KCL pre-positioning signals to ROAM.
Historical sales, seasonality, promotions, events, weather, KCL logistics — fused into one SKU-level forecast.
Predicts uplift, cannibalism, pull-forward, post-promo dip — with net margin focus, not gross uplift.
Identifies high-leverage loyalty investment opportunities · flags churn risk 45 days ahead.
Demand forecasts flow to ROAM 72h before peak — enabling inventory pre-positioning and route capacity allocation.
Multi-store demand forecasting · inventory optimisation · promotion ROI.
Channel demand signals · consumer behaviour modelling · new product introduction.
SKU-level forecasts · dynamic pricing · CLV modelling · churn prediction.
Hourly demand peaks · perishable inventory · dark-store pre-positioning.
Request a demo tailored to your specific deployment — we'll walk you through the model, KCL integration, and onboarding timeline.