Benefits
The Planogram Optimization AI Agent helps retailers improve in store performance by turning sales and shelf data into actionable merchandising decisions. This AI driven agent suite evaluates how products perform on the shelf, identifies inefficiencies in shelf utilization, and recommends optimal product placement to increase visibility, velocity, and revenue.
By combining real world sales performance with shelf metadata and transaction behavior, the agent creates a closed loop system for continuously improving planograms and merchandising strategy across stores and categories.
Problem Addressed
Retail teams often struggle to understand how shelf placement, product adjacency, and space allocation affect sales performance. Traditional planogram decisions are frequently based on static rules or manual reviews that do not reflect real customer behavior.
This agent addresses those challenges by:
- Revealing how shelf position and utilization impact product velocity
- Identifying underperforming or overcrowded shelf sections
- Improving product visibility and discoverability
- Optimizing physical shelf space using data driven insights
- Supporting consistent merchandising decisions at scale
What the Agent Does
The Planogram Optimization AI Agent operates as a coordinated suite of specialized agents, each focused on a critical aspect of in store performance.
Sales Intelligence Agent
- Aggregates product level sales performance across stores
- Analyzes quantity sold, revenue contribution, and discount behavior
- Associates sales trends with promotional campaigns and pricing activity
- Establishes a performance baseline for merchandising decisions
Shelf Efficiency Evaluator
- Calculates sales velocity at the shelf level
- Evaluates shelf utilization and classifies sections as underutilized, overloaded, or optimal
- Identifies visibility issues related to shelf height, position, or congestion
- Highlights where shelf space is not aligned with demand
Planogram Recommendation Agent
- Recommends which products should be repositioned, reallocated, or retained
- Aligns shelf placement with velocity, utilization, and visibility insights
- Supports data driven planogram updates that maximize performance
- Helps teams prioritize changes with the highest expected impact
Product Adjacency Recommendation Agent
- Detects frequently co purchased products using transaction data
- Identifies high value adjacency opportunities that drive impulse sales
- Recommends side by side placement to increase basket size
- Supports smarter cross merchandising strategies
Standout Features
- Velocity based shelf optimization using real sales data
- Shelf utilization scoring to surface underperforming space
- Co purchase analysis for intelligent adjacency recommendations
- Multi agent collaboration across sales, shelf, and transaction data
- Visibility aware filtering using shelf position and discount context
- SKU level recommendations that are easy to act on
Who This Agent Is For
This agent is designed for teams who want to:
- Improve in store sales through smarter product placement
- Optimize shelf space based on real customer behavior
- Identify underperforming planograms quickly and accurately
- Increase product visibility and impulse purchases
- Scale merchandising decisions across stores and regions
- Reduce guesswork in physical retail optimization
Ideal for: retail merchandising teams, category managers, store operations leaders, retail analysts, supply chain planners, and omnichannel retail teams.
