Retail‑Shelf Vision Audits 📸

Concept

Brands want to know if their products are placed correctly in stores. You build a lightweight tool using phone cam + vision AI to check if real shelf setups match planograms—and charge per audit.

Micro‑Capex Stack

• $60 for a pre-trained model API (Roboflow, AWS Rekognition, etc.)
• Your phone + Figma for UX mockups
• Airtable to log results

48‑Hour Validation

1. Go to your local grocery store, film a quick “this is shelf #5, this is wrong” demo.
2. DM 3 CPG (consumer packaged goods) brand managers or field reps on LinkedIn.
3. If one asks for pricing or pilot—go build.

Service Flow

• Field reps take shelf photos using your tool or form
• AI flags misplacements, gaps, and errors
• You return an audit report (PDF or dashboard)
• Charge $29–$199 per location depending on depth

Scale Plays

• License the system to merchandising firms
• Bundle with in-store promo tracking
• Use AI to trigger reorders if gaps persist

Pitfalls to Dodge

• Data labeling—model may need tuning for specific products
• Store pushback—stay discreet or work via the brand