Aurelia
AURELIA
Retail & Consumer Commerce

Retail

Retail & Consumer Commerce

Demand forecasting, personalisation, and inventory intelligence — margin recovered one decision at a time.

The landscape

What we've learned building here.

Retail margins die by a thousand small mispredictions: over-ordered inventory, mispriced promotions, generic recommendations, stockouts on the products customers actually wanted.

Aurelia's retail work attacks those decisions directly — demand models tuned to your assortment and seasonality, recommendation systems that understand your catalog, and Vibalitics signals that catch demand shifts while there's still time to act.

Deployed use cases

Where the models earn their keep.

01

Demand forecasting

SKU × store × week forecasts that beat statistical baselines by 20–35% MAPE reduction.

02

Personalisation & recsys

Session-aware recommendations measured on incremental revenue, not clicks.

03

Inventory optimisation

Replenishment signals that cut stockouts and markdown exposure simultaneously.

04

Customer lifetime value

CLV and churn models that redirect spend to where it compounds.

Compliance posture

GDPR/CCPA-aware data handlingConsent-scoped personalisationPII minimisation by default