Benefits
This suite of AI agents analyzes in-store product sales, evaluates shelf efficiency, recommends optimal planogram placement, and identifies adjacent pairings to improve physical retail performance. It delivers a closed-loop system for data-driven product placement and merchandising strategy.
Problem Addressed:
Retailers often lack visibility into how product placement and shelf utilization impact sales. This agent suite solves inefficiencies in merchandising, optimizes shelf space, and enhances product visibility by leveraging real-world sales, shelf metadata, and transaction behavior.
What the Agent Does:
• Sales Intelligence Agent: Aggregates product performance by analyzing quantity sold, revenue, discount trends, and associated promotional campaigns.
• Shelf Efficiency Evaluator: Calculates sales velocity, shelf utilization (Underutilized, Overloaded, Optimal), and identifies visibility issues based on shelf position.
• Planogram Recommendation Agent: Recommends product reallocation, repositioning, or retention based on velocity, shelf utilization, and visual access.
• Product Adjacency Recommendation Agent: Detects high co-purchase pairs and suggests side-by-side shelf placement to drive impulse sales.
Standout Features:
• Velocity-based shelf optimization
• Co-purchase analysis for adjacency recommendations
• Multi-agent collaboration across sales and shelf metadata
• Intelligent filtering using visibility and discount data
• Actionable recommendations for every SKU
