Stock AI agent illustration

Stock

Inventory Flow & Slotting

Stock keeps inventory positioned for speed—not just “on hand.” It monitors velocity, aging, replenishment, and slotting effectiveness across the DC, then recommends moves that reduce travel, touches, and stagnation. Stock helps teams prevent pick-path chaos, avoid inventory “aging in place,” and keep forward-pick locations set to match real demand.

Primary Outputs

Typical deliverables
Velocity map by SKU/location with forward-pick sizing recommendations
Inventory aging report with risk flags (expiry, obsolescence, slow-movers)
Pick-path friction scorecard: travel, touches, congestion, and rework drivers
Replenishment exceptions: chronic stockouts, overfills, and mis-slotting callouts
Slotting move list ranked by impact: labor minutes saved, picks improved, risk reduced
Weekly inventory flow brief: “what’s stuck / what to move / what will break next”

Core Capabilities

What it does
Measures true velocity by SKU and location (picks, cases moved, replenishment frequency)
Optimizes forward-pick sizing and replenishment triggers to reduce stockouts and overfills
Detects mis-slotting and poor adjacency that drive travel time, congestion, and errors
Flags inventory aging and stagnation with clear disposition options (move, consolidate, clear)
Recommends slotting moves ranked by impact and operational feasibility
Standardizes inventory flow definitions (on-hand vs. available vs. committed) to reduce debate

Operational Fit

How it’s used
Used By

DC Managers, Inventory Control, Warehouse Ops, Continuous Improvement, and Planning.

Used For

Slotting reviews, replenishment tuning, productivity improvement, and aging risk management.

Typical Questions
  • Which SKUs are driving travel and touches—and what should we re-slot first?
  • Where is inventory aging or stagnating—and what’s the best corrective action?
  • Are forward-pick locations sized correctly for real demand and replenishment cadence?