Babysitter slotting-optimization-engine

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

install

source · Clone the upstream repo

git clone https://github.com/a5c-ai/babysitter

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/domains/business/logistics/skills/slotting-optimization-engine" ~/.claude/skills/a5c-ai-babysitter-slotting-optimization-engine && rm -rf "$T"

manifest: library/specializations/domains/business/logistics/skills/slotting-optimization-engine/SKILL.md

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

skill: slotting-optimization-engine
inputs:
  warehouse:
    warehouse_id: "WH001"
    zones:
      - zone_id: "ZONE_A"
        type: "pick_module"
        locations: 500
        golden_zone_locations: 100
      - zone_id: "ZONE_B"
        type: "bulk_storage"
        locations: 200
  products:
    - sku: "SKU001"
      velocity_class: "A"
      picks_per_day: 150
      cube: 0.5
      weight_lbs: 2.5
      stackable: true
    - sku: "SKU002"
      velocity_class: "B"
      picks_per_day: 45
      cube: 1.2
      weight_lbs: 8.0
      stackable: false
  constraints:
    optimize_for: "travel_time"
    respect_product_families: true
    ergonomic_weight_limit_lbs: 25
outputs:
  slot_recommendations:
    - sku: "SKU001"
      recommended_location: "A-01-02-A"
      zone: "ZONE_A"
      reason: "High velocity - golden zone placement"
      expected_picks_reduction: 15
    - sku: "SKU002"
      recommended_location: "A-05-03-B"
      zone: "ZONE_A"
      reason: "Medium velocity - mid-zone placement"
      expected_picks_reduction: 8
  projected_improvement:
    travel_time_reduction_percent: 12.5
    picks_per_hour_increase: 8.3

Integration Points

Warehouse Management Systems (WMS)
Inventory Management Systems
Labor Management Systems
Order Management Systems
Slotting Analysis Tools

Performance Metrics

Picks per hour improvement
Travel distance reduction
Slot utilization rate
Replenishment frequency
Ergonomic compliance rate