IRIS
Multimodal AI for Retail Store Operations
Retail's operating layer, running on WhatsApp: photo-based visual validation, voice-note ticket routing, and AI-answered Google reviews.
- Stores · 10+ brands
- 160+
- Photo to verdict
- <10s
- Google listings managed
- 196
The problem
Running 160+ stores and 10+ brands with a lean team means nobody can be everywhere. Brand standards degrade silently, maintenance issues travel through ownerless WhatsApp threads, and hundreds of Google reviews sit unanswered.
How it works
No app to install, no training: the store manager sends a photo or a voice note on WhatsApp. AI validates visual merchandising against brand standards in under 10 seconds, classifies the voice note and routes the ticket to the right team, and drafts on-brand replies across the group's 196 Google listings. Supervisors see everything on a dashboard with a health score per store.
What it does
- 01
Visual validation
Photo to verdict in under 10 seconds, against each brand's implementation standards.
- 02
Voice-note routing
Voice notes transcribed and classified into maintenance, checklist or commercial tickets, with SLAs.
- 03
Review agent
Replies in each brand's voice — 157 style profiles — with theme-based escalation of negative reviews.
- 04
Per-store health score
Weighted composite of visual, zonal and commercial compliance, with traffic-light alerts.
Deployment scope
In production across the group's stores in Chile, over WhatsApp — no app to install, no prior training.
Related projects
- ChispezaVoice AI for Retail Hiring and Sales Training
- CifraAI Cash-Flow Intelligence for Multi-Entity Retail
- DelphineML Demand Forecasting for Footwear Retail
Last updated: August 2026
Run a retail operation and recognize the problem? The advisory side of this work lives at Menlo & Oak — and you can always write to me directly.