●  OMNIA  —  AI Retail Decision Engine
Seed Round  ·  2026
Adrien Naeem  ·  Laetitia Lamari
Julien Nouet  ·  Bruno Enten
OMNIA
The retail stack has everything — except decisions.

We build the decision layer
for $32 trillion
in global retail.

One system that connects ERP, OMS, POS and e-commerce — and tells retailers what to do next, with the margin impact attached.
●  OMNIA
€3M
Seed  ·  18–24 mo runway
01  /  The market
Europe, 2023–2025

Retail is bleeding margin.
Existing tools only address symptoms.

01  ·  Closures
17,000+
European store closures between 2023 and 2025. The cycle is already here.
02  ·  Margin
−40%
Average margin decline in mid-market retail over five years. Net margin now sits at 3–5%.
03  ·  The prize
$32T
Global retail — still run on spreadsheets and gut instinct. Nobody owns the decision layer.
●  OMNIA
Slide 02  ·  The problem
02  /  The gap

Data is everywhere.
Decisions are nowhere.

Today  —  disconnected silos

Every vendor ships AI inside their own silo.

ERP
OMS
POS
WMS
E-com
CRM
Footfall
Logistics
Shopify, SAP, Blue Yonder, Snowflake. Every platform is bolting on AI — but only from their corner of the data.
The cost  —  what it means in the P&L

The gap between knowing and doing costs millions.

5–15%
of margin lost annually to poor allocation, reactive pricing, cross-channel blind spots.
~30%
of inventory decisions still run on spreadsheets and gut instinct.
Weeks
to validate a pricing move in a market that moves in hours.
●  OMNIA
Slide 03  ·  The gap
03  /  OMNIA

OMNIA is the decision layer
that sits between data and action.

/ 01Data sources
ERP
OMS
WMS
POS
E-com
CRM / CDP
Footfall
Logistics
/ 02Decision engine
● OMNIA
11 performance drivers — ranked by margin impact, in real time.
Demand · 4 Commerciality · 4 Network · 3
/ 03Ranked actions
Rebalance
Move 1,240 units
PAR → FRA
Markdown
−15% on SS collection
week 34
Reprice
+3.2% on 180 SKUs
in UK market
Expected impact
+€840K margin
next 90 days
●  OMNIA
Slide 04  ·  The solution
04  /  Traction

The pipeline is
already built.

Qualified pipeline
~€1.3M
Ten enterprise prospects across luxury, watches & home retail. Contracts €80K–€160K. Relationships, not cold outreach.
10+
Enterprise prospects
1,500+
Decision-makers in network
Saint Laurent
COO  ·  Head Digital Ops
~€110K
Versace
VP Commercial
~€145K
Christian
Louboutin
Global Planning Dir.
~€130K
Boucheron
Controlling Director
~€95K
Baccarat
Head FP&A
~€120K
LACOSTE
CDO
~€155K
KERING
Data & AI Dir. · SC Dir.
~€140K
Tissot
Head of E-commerce
~€105K
Castorama
Mktg & Digital Dir.
~€125K
Maisons
du Monde
Ex — Mktg & Digital
~€115K
●  OMNIA
Slide 05  ·  Traction & network
05  /  The ask

€3M to own
the decision layer.

€3M
Round
Seed
Runway
18–24 mo
Trigger
€1.5M ARR → A
Use of funds
Product
70%
Operations
20%
Sales
10%
→€1.5M ARR & 10+ enterprise retailers in 24 months
→Deploy across France & UK, expand to global Y3
→Establish OMNIA as the AI operating layer for retail
→Build the data moat: cross-client benchmarks at scale
●  OMNIA
Slide 06  ·  Let's talk  —  adrien@omnia.ai