slotting-optimization-engine

Solid

AI-driven warehouse slotting skill to optimize product placement based on velocity, pick frequency, and operational efficiency

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Slotting Optimization Engine ## Overview The Slotting Optimization Engine is an AI-driven skill that optimizes warehouse product placement based on velocity, pick frequency, and operational efficiency. It analyzes product characteristics, order patterns, and warehouse layout to recommend optimal slot assignments that minimize travel time and maximize picking productivity. ## Capabilities - **Velocity-Based Slot Assignment**: Assign fast-moving items to prime picking locations based on historical velocity data - **Travel Distance Minimization**: Optimize slot locations to reduce average travel distance per pick - **Ergonomic Zone Optimization**: Place heavy or frequently picked items at ergonomically optimal heights to reduce worker strain - **Pick Path Efficiency Analysis**: Analyze and optimize slot assignments based on typical pick path patterns - **Seasonal Demand Adjustment**: Adjust slotting recommendations based on seasonal demand patterns and promotional calendars - **Product Affinity Clustering**: Group frequently co-ordered items in proximity to reduce pick travel - **Golden Zone Placement**: Strategically utilize prime picking zones for highest-velocity items ## Tools and Libraries - WMS APIs - Slotting Optimization Algorithms - Heuristic Solvers - Data Analytics Libraries ## Used By Processes - Slotting Optimization - Pick-Pack-Ship Operations - Receiving and Putaway Optimization ## Usage ```yaml skill: slotting-optimization-engine inputs: warehouse: ...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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