Visual Merchandiser
AI app for tracking product placement, dominance, and compliance via photos.
Publisher
Devoteam
Industry Type
Retail & Consumer Goods
Product Details
This AI app tracks product placement, dominance, and compliance in stores using photos. It is built for retailers that lack visibility into individual stores, rely on error-prone manual data collection, and have no central reporting on product performance.
Devoteam built it on Google Cloud with Cloud Run, Vertex AI, Gemini, BigQuery, and Cloud Storage. It analyzes in-store images to give real-time insight into product performance at each location, along with market trends, customer behaviour, and competitor activity. Data collection and reporting are automated, which saves time and lets teams make faster decisions as market conditions change. Retailers can use the results to improve product placement, manage inventory more effectively, and improve the customer experience.
Key Use Cases
Automated Planogram & Share-of-Shelf Auditing
Uses Gemini vision models on Vertex AI to inspect shelf photos, quantifying planogram compliance and brand shelf dominance without labor-intensive manual inspections.
Retail Execution & Competitor Intelligence
Aggregates store-level visual data in BigQuery to surface out-of-stock conditions, merchandising non-compliance, and competitor promotional activity in near real-time.
Explore detailed deployment path
Requires Gemini. Access integration prerequisites, specialized agent configuration guides, and implementation documentation.