Praesenz / Léa¶
"We eat what's put under our nose. Praesenz changes that. Léa is the first presence that helps you eat better and cheaper, where you already shop."
Léa doesn't talk to you. She waits for you.
Value for the whole aisle¶
Stores
- Monetise non-performing m² as media space
- Recurring revenue via suppliers
- Modern, differentiated experience
- Data-driven, automated animation
- Less pressure on sales teams
Suppliers
- Retail-media channel, right in the aisle
- Animation cost divided by 3
- Real-time interaction data
- Total seasonal flexibility
- Measurable performance reports
Shoppers
- Eat better and cheaper, made simple
- Instant product info, no waiting
- Targeted promotions all year
- Multilingual, adaptive experience
- Expert advice, 16h/7
Start where you fit¶
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I'm new here
Read the Golden Circle, then the ecosystem L1 map. 10 minutes to get the whole picture.
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Investor / Advisor
The pitch in 3 docs: vision, business model, retail media path.
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Retailer / groupement (Leclerc, U, ITM, Centrakor, Grand Frais, Picard)
What Léa does at your counter, why it doesn't touch your IT, how the partnership works.
→ Groupements go-to-market → Picard one-pager → Back-office paths
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Brand / PIM / Salsify partner
How Praesenz consumes your product data through standard PIMs.
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Engineer / Architect
Stacks, ADRs, sensors, hardware shortlist.
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Product / Strategy
State machine, KPIs, 4-QR mechanic, customer journey.
At a glance¶
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Why
Help everyone eat better and cheaper, where they already shop. Inverted magnet: the customer approaches, Léa waits.
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How
Photorealistic avatar + 4 QR codes by moment of day + WhatsApp continuity. Local-first, no captive cloud, GDPR-clean.
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What
A discreet kiosk at the endcap. State machine sleep → wake → display → engage → convert. Data from PIM (Open Food Facts, Salsify, Akeneo, Equadis), not from the retailer SI.
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Where we are
Stack 1A (Virbe) + Stack 1B (UE5 containers) both dev/QA. Per-site prod shape decided: 16 GB master + thin workers, NeuroSync lip-sync, 1.0-1.8 s latency. Lead partnership: E.Leclerc via Infomil; targets U, Intermarché, Centrakor, Grand Frais; Picard SAP track in parallel.
Latest accepted decisions¶
| ADR | Title | Status |
|---|---|---|
| 001 | Two parallel stacks (Windows VM vs Linux Containers) | Accepted |
| 002 | Local-first architecture | Accepted |
| 003 | Inverted magnet | Accepted |
| 004 | Stack 1B local-first as Stack 2 prod target | Accepted |
| 005 | PIM-native architecture | Accepted |
| 006 | 3-tier data supply (OFF → Salsify → retailer) | Superseded by 013 |
| 007 | ESL broadcast as real-time price truth | Proposed |
| 008 | Pilot retailer N°1 / Picard | Accepted (extended by 012) |
| 009 | Per-site master + GPU-less thin workers | Accepted |
| 010 | NeuroSync lip-sync (replaces Audio2Face) | Accepted |
| 011 | Fleet central mini-HPC (beyond ~30 kiosks) | Accepted |
| 012 | Multi-enseigne go-to-market (Infomil lead) | Accepted |
| 013 | PIM source tiers extended (Akeneo + Equadis) | Accepted |
| 014 | In-store Phase 2 (RTX 4090 AI + GPU-render workers) | Accepted |
How this site is organized¶
- Product Vision / the "why", target user, narrative
- Architecture / C4 model (L1 ecosystem, L2 per-stack), legacy Stack B detailed design
- Decisions (ADRs) / every load-bearing decision, dated, immutable, traceable
- Engineering / technical specs (sensors, hardware, GDPR posture)
- Partnerships / retailer back-office mapping, pilot one-pagers
- Pricing & Business / economic models per kiosk and per channel
- Operating / current tasks, status, contribution guide
Use the top navigation tabs or the search bar (top right) to jump anywhere.