Store Performance Pulse

Understand why stores are over or under plan—daily

Retail leaders spend mornings piecing together yesterday's numbers, trying to understand which stores missed plan and why.

Daily schedule: Runs at 6:00 AM for all stores, analyzing prior day results
Variance threshold: Triggers deeper analysis when comp sales variance exceeds +/- 5% to plan
Comp sales variance: Actual vs. plan and prior year, dollar and percentage gaps
Traffic count: Footfall compared to same day last week and last year

Daily Performance Summary

12 stores flagged • Yesterday vs Plan

-$48K
Comp Sales
-3.2%
Traffic
-1.8%
Conversion
18.4%
Avg Basket
$67
Top Underperformers
Store #142 - Westfield-$12K
Store #089 - Downtown-$8K
Store #203 - Mall of America-$6K
Primary Drivers
Conversion -1.4ptsLunch staffingReview scheduling

Built for retail leaders
who spot every trend

Retail leaders spend mornings piecing together yesterday's numbers, trying to understand which stores missed plan and why. The **Store Performance Pulse** agent automates this.

District Managers

Deep, consistent analysis

Regional Directors

Strategic oversight & escalation

Store Operations Managers

Operational efficiency & SLAs

VP of Retail

Strategic oversight & escalation

From alert to action in minutes

The objective of this agent is to improve comp sales performance through faster root-cause identification.

Step 1

The Trigger

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

  • Daily schedule: Runs at 6:00 AM for all stores, analyzing prior day results
  • Variance threshold: Triggers deeper analysis when comp sales variance exceeds +/- 5% to plan
  • Consecutive misses: Flags stores with 3+ consecutive days of underperformance
Step 2

360° View

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

  • Comp sales variance: Actual vs. plan and prior year, dollar and percentage gaps
  • Traffic count: Footfall compared to same day last week and last year
  • Conversion rate: Transactions as percentage of traffic, trended over 7 days
Step 3

Automated Analysis

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

  • Decompose variance: Calculate how much comes from traffic vs. conversion vs. basket size.
  • Identify category drivers: Rank categories by contribution to the gap.
  • Analyze dayparts: Determine if the miss was concentrated in specific hours.
Step 4

Actionable Output

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

  • Executive summary: Top 3 stores requiring attention, with dollar impact quantified
  • Root-cause breakdown: Primary drivers for each flagged store
  • Category insights: Departments that over- or underperformed
Step 5

Delivery

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

Key benefits for sales teams

Concrete, measurable value for your team from day one

Fast Response

Faster response

Before: 1-2 hours compiling data. Now: briefing arrives before 7 AM.

Early Warning

Catch issues earlier

Problems surface after one bad day, not a week of misses.

More Revenue

Pinpoint root causes

Get "6-point conversion drop during understaffed lunch" instead of "Store 142 missed."

Up and runningin production in weeks

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

Point of Sale (POS): Transactions with timestamps, category, basket details
Traffic counting system: Hourly footfall by store
Workforce management: Scheduled and actual labor hours
Planning system: Daily sales plans by store and category
Traffic
Conversion
Basket
Category
Store
Comp Sales

Ready to explore Store Performance Pulse?

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

Typical initial implementation in weeks, not months.