Find underperforming stores before local issues become regional problems.
Scoop is an AI performance manager that screens every store, diagnoses likely drivers, and gives regional, district, and store managers clear actions across traffic, labor, inventory, and assortment: every store, every cycle.
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Overview: 11 of 12 stores are positive on comps, but conversion is declining district-wide and two top-velocity SKUs have been out of stock for 9 days.
Status: Weekend peak traffic at S-01, S-03, and S-08 is not being converted: understaffing is the likely driver.
Recommended actions: Add Sat/Sun coverage at S-01, S-03, S-08; expedite SKU replenishment at S-01; check planogram compliance at S-04, S-06, S-09.
We're in a competitive industry with tight margins. Just bringing our underperforming locations closer to the mean could get us over a point of margin improvement.
Three challenges Scoop solves
The diagnostic queue never clears
District and regional managers spend most of their review time figuring out what happened, not deciding what to do. By the time the root cause is identified, the next cycle has already started.
Scoop runs the full diagnostic before anyone opens a spreadsheet: traffic, conversion, labor, inventory, and assortment, so every review starts at the action, not the analysis.
Underperformers stay underperformers
Without a consistent process for identifying root causes and assigning actions, the same stores underperform cycle after cycle. The problem is known. The fix never quite lands.
Scoop creates a specific, traceable action plan for each store every cycle, and tracks whether those actions moved the needle, so the same issues don't recur indefinitely.
The skill gap is invisible until it's expensive
Not every store or district manager reads reports the same way. Less experienced managers miss patterns that experienced ones catch immediately, and there's no systematic way to close that gap.
Scoop gives every manager the same quality of analysis regardless of experience level, codifying the judgment of your best operators into a consistent process that scales across the entire district.
Diagnostics your best operators would run, on every cycle
Store performance screening
Which stores are performing well or poorly relative to plan, history, or peer stores, and why.
Conversion and traffic anomalies
Answer why a store is down before anyone asks. Pinpoints traffic, staffing, assortment, and local conditions.
Gross margin pressures
Find out up front whether mix, shrinkage, product availability, or discounting are at work.
Labor and scheduling effectiveness
See whether labor coverage matches traffic and sales opportunities throughout the day.
Inventory and assortment gaps
See whether stockouts, aging inventory, or local assortment issues are constraining sales.
Segment and product detail
Drill into which segments and product lines are driving the result, not just the headline number.
Connects to what you have. Secure from day one.
Read-only access to your data warehouse
We connect directly to Snowflake, BigQuery, Redshift, Databricks, and more: read-only, no write access, no disruption to current pipelines.
No warehouse? No problem.
IT can provision automated flat-file extracts on a schedule. If the tables and reports already exist, the lift is low.
SOC 2 compliant. Governable at scale.
Role-based access, audit trails, and outputs that are reproducible and explainable. Your data never leaves your control.
100+ supported connectors including
For vertical-specific systems (POS, PMS, ERP), we work with your IT team to build the required extraction path.
Book a discovery call
Reach out to start a two-way conversation about your industry, your performance variations across locations, and whether Scoop is the right fit for you.