Collection Sell-Through Tracker

Know which pieces are moving—and which aren't

Merchandising teams need to know quickly which collection pieces resonate and which are languishing—before the selling window closes.

Above-expectation sell-through: SKU exceeds 120% of planned weekly rate
Below-expectation sell-through: SKU falls below 50% of planned rate after two weeks
Collection summary with units shipped, sold, aggregate sell-through %, and weeks since launch
SKU performance grid ranking pieces by sell-through rate with variance to plan
Request a DemoSee How It Works

Collection Performance

FW24 sell-through analysis • Week 8

42%
Sell-Through
42%target 50%
Fast Movers
18SKUs
Slow Movers
24SKUs
Reorder Need
8SKUs
Performance Highlights
Mini Pochette84% ST (replenish)
Oversized Tote18% ST (markdown)
Chain Bracelet72% ST (reorder)
Merchandising Actions
Replenish bestsellersReallocation neededMarkdown candidates

Built for luxury supply teams
who achieve perfect allocation

Merchandising teams need to know quickly which collection pieces resonate and which are languishing—before the selling window closes.

Supply Chain Directors

Strategic oversight & escalation

Merchandising Managers

Product placement & promotion

Inventory Planners

Stock accuracy & optimization

Allocation Analysts

Data-driven insights

From alert to action in minutes

The objective of this agent is to maximize full-price sell-through and minimize markdown risk.

Step 1

The Trigger

You define when the agent should activate. When conditions are met, it starts working automatically.

  • Above-expectation sell-through: SKU exceeds 120% of planned weekly rate
  • Below-expectation sell-through: SKU falls below 50% of planned rate after two weeks
  • Size or color imbalance: Specific variants selling 3x faster or slower than the SKU average
Step 2

360° View

The agent opens a tailored dashboard consolidating data from all your systems.

  • Collection summary with units shipped, sold, aggregate sell-through %, and weeks since launch
  • SKU performance grid ranking pieces by sell-through rate with variance to plan
  • Size/color matrix highlighting fast and slow variants
Step 3

Automated Analysis

The agent follows a structured analysis flow, combining checks with exploratory reasoning.

  • Variance calculation: Flags SKUs more than 20% above or below planned sell-through.
  • Attribute decomposition: Identifies whether weakness is in specific sizes, colors, or materials.
  • Location analysis: Determines whether variance is chain-wide or concentrated in specific regions.
Step 4

Actionable Output

After analysis, the agent creates a human-friendly report with everything your team needs.

  • Executive summary: Collection sell-through versus plan, top performers, items requiring action
  • Fast movers: SKUs exceeding targets with replenishment recommendations
  • Slow movers: Underperforming SKUs with root cause indicators and suggested actions
Step 5

Delivery

Reports are sent automatically via email or accessed directly in Veezoo.

Key benefits for supply teams

Concrete, measurable value for your team from day one

Fast Action

Faster visibility

Before: monthly manual reports. Now: weekly automated updates catching issues in the first selling weeks.

More Revenue

Higher full-price sell-through

Recover 2-5% of collection revenue through timely replenishment.

Key Benefit

Data-driven allocation

Replace intuition with quantified recommendations showing impact on margin.

Up and runningin production in weeks

To deploy this Agent, you connect Veezoo to your existing Data Warehouse, typically containing data from:

Merchandise Planning System: Collection plans, sell-through targets, allocation strategies
Inventory Management System: On-hand quantities by SKU and boutique, in-transit inventory
Point of Sale (POS): Transaction data with size, color, and boutique attribution
Product Master: SKU attributes including collection, category, colorway, price point
SKU
Allocation
Markdown
Velocity
Collection
Sell-Through

Ready to explore Collection Sell-Through Tracker?

Fully customizable to your workflows, data sources, and business requirements.

Try for freeBook a call

Typical initial implementation in weeks, not months.