ATLAS
All sectors
Decision Cockpit · PresetRetail & Merchandising

Cockpit Retail & Merchandising

Structures assortment, pricing and promotions across the portfolio.

Preset
sector · one cockpit
7
native connectors
4
included knowledge agents
The legacy data challenge

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.

AURA added value

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.

Description

What ATLAS does for you.

ATLAS rebuilds the retail value chain — per-segment price elasticity, marginal contribution per linear meter, promo halo effects — drawing on your applications: retail ERP (SAP Retail, Oracle Retail), planning engine (RELEX, Symphony) or data platform (Snowflake: datalake, analytics, KPIs, AI). It arbitrates between private label and national brands by quantifying the real competitive impact.

AURA reads from your IS: only the data relevant and impactful for Business decision-making enters the ontology.

Primary connectors
SAP RetailOracle RetailRELEXSnowflakeNielsen ConnectGoogle Big QuerySymphony
ATLAS — Retail & Merchandising
Sector illustration · Retail & Merchandising
Reasoning in progress · Retail & Merchandising
ingest :: SAP Retail
ontology :: Business · Retail & Merchandising
argued recommendation
Knowledge agents & capabilities

The knowledge agents shipped with this cockpit
— ready to use, customised for you.

01
Multi-format assortment optimization
02
Shopper-mission dynamic pricing
03
Halo and cannibalization modeling
04
Promo plan argued with expected lift
Common principles

Preset Retail & Merchandising.
Universal principles.

The examples above use the Retail & Merchandising preset. The principles below hold for any organisation steering a real operation — regardless of sector.

01 · Ontology first

Business understanding precedes the model. AURA adapts its ontology to your organisation's reality before contextualising its agents — never the reverse.

02 · Targeted read of your IS

AURA plugs into your systems and reads only the data relevant to the decision. Legacy stays in place, without disruption.

03 · Defensible decisions

Every recommendation is anchored on the data that produced it. Reproducible to the board, auditable to the regulator — by design.

04 · Multi-constraint arbitration

AURA reasons at the intersection of constraints — finance, operations, compliance, customer. No silo optimisation: a decision that holds across the full scope.

Contracted Discovery

Activate the Cockpit Retail & Merchandising on your scope.

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