AURA ATLAS
Structures assortment, pricing and promotions across the portfolio.
Retailers operate tens of millions of SKUs spread across SAP Retail, Oracle Retail, RELEX and homegrown pricing tools. Assortment / price / promo trade-offs are rarely coordinated and cannibalization effects are invisible at the category level.
ATLAS unifies assortment, pricing and promotion decisions on a common product ontology. It quantifies each move's effect on total margin and market share — not just the affected SKU.
What ATLAS does for you.
ATLAS rebuilds the retail value chain: per-segment price elasticity, marginal contribution per linear meter, promo halo effects. It proposes structured trade-offs between private label and national brands with a pre-modelled competitive impact view.
Targeted read: only the data relevant, impactful or critical to this business enters the ontology. No full IS replication.
What you activate
from day one.
Illustrated on Retail & Merchandising.
True beyond.
The examples above rely on the AURA ATLAS sector. The principles below, however, hold for any organisation steering a real operation — regardless of the business.
No generative AI reasons correctly without an explicit representation of business concepts. The model comes after meaning.
Legacy stays in place. AURA reads, never writes, never moves data. Switching cost is zero, full reversibility.
Every recommendation is tied to the source attributes that produced it. Reproducible. Contestable. Auditable.
Value arises at the intersection of constraints — finance, ops, compliance, customer. AURA arbitrates; it does not optimise one silo.