Scoop Scoop Analytics
Sample Report
District Manager Brief
MW3 District
Intelligence Brief
Sanitized example customer · District MW3
Generated August 4, 2026 · Data through August 1, 2026 · Biweekly cycle
4 of 10
stores flagged for
targeted coaching action
7 new
actions surfaced
automatically this cycle
−38.7%
loan count decline at
top watch store
What you're reading

This is a sanitized example of what Scoop Intelligence delivers to a customer's district managers every two weeks — automatically. Scoop codified how the COO and top analysts run the business into a secure, custom AI model. Everything you read was generated automatically from that model. Key points:

  • Inception to pilot in around 5 weeks, with ~10 hours of COO investment
  • Operating playbook now scaled to every district, location without adding headcount
  • Performance of every location investigated every reporting cycle automatically — nothing gets missed
  • Adverse trends now surfaced 2–3 months before they appear in headline numbers
  • Raises the performance floor across the network; more for lower performers
  • In production today; rolling out to 1,000+ locations in Q4 2026
Scoop Analytics · Sanitized district briefing · Confidential

Overview

MW3 is a broadly healthy district — 1 Healthy and 2 Mild stores are performing at or above expectations. 3 Watch stores show leading indicators that require attention before they compound. 4 Moderate stores have specific, addressable gaps in GM origination or merchandise sales velocity that warrant coaching visits this cycle.

Severity key

Critical — Visit this week (sustained 6+ month decline across 3+ correlated metrics)
Severe — Priority for this quarter (clear 3–6 month declining trend in 1–2 key metrics)
Moderate — Issues to address (mixed signals or single-category issue)
Watch — One more month of this means trouble (borderline trajectory or leading indicator firing)
Mild — Generally stable with minor concerns in one area
Healthy — Stable or growing across key metrics

10 stores | 10 requiring investigation | For: District Manager

What changed since last report

7 new actions surfaced this cycle; 4 status changes were detected; 0 continuing actions remain active.

Status changes

New actions surfaced

Store status summary

Store Status Story Top action
4201 Healthy Broad-based growth across all metrics — PLO +28.4%, NLM +31.7%, Net Revenue +34.2%, PSC +29.8% YoY — strong Jewelry origination and improving GM transaction counts across all subcategories.
4238 Mild Growing across all headline metrics YoY; Jewelry the standout at PLO +24.1%. Power Tools origination has softened slightly in recent months — a minor concern worth monitoring before it compounds into a broader GM trend. New: Monitor Power Tools Origination Trend
4315 Mild Posting solid growth — PLO +16.8%, NLM +18.3%, Net Revenue +21.4% — with Rings and Electronics the strongest contributors. Merchandise sales velocity is slightly below district peers but manageable if addressed this cycle. New: Improve Jewelry Floor Conversion Rate
4402 Moderate Retains positive YoY growth on PLO (+14.2%) and Net Revenue (+17.8%), but Electronics NLM fell 34.6% YoY and Household & Office fell 41.2% YoY — two consecutive months of GM decline that have brought loan count well below peer levels. New: Recover GM Loan Volume — Focus on Electronics and Household & Office
4451 Moderate Growing across headline dollar metrics but merchandise sales have declined 18.4% YoY — the widest merchandise gap in MW3. Jewelry inventory at 310 days and 0.71x annualized turns suggests the drop-to-sale conversion process needs attention on the floor. New: Convert Jewelry Drop Inventory to Merchandise Sales
4418 Watch Growing on PLO (+11.3%) and Net Revenue (+14.8%) but loan transaction count declining 8.9% YoY while average loan size rises — growth is concentrated in fewer, larger loans, creating forward PLO risk. GM origination in Household & Office and Power Tools is the primary gap. New: Rebuild GM Transaction Count in Household & Office and Power Tools
4490 Watch Positive on all headline metrics, but NLM growth (+2.1%) is decelerating significantly below peers and the replenishment ratio has fallen to 22.4% vs. a peer typical of ~34%. Repeat-customer loan volume is contracting, suggesting a counter engagement gap. New: Stabilize Jewelry PLO — Address Declining Loan Count
4534 Watch Growing modestly on PLO and Net Revenue but sits at the bottom of the district on NLM growth (+4.7%), with repeat-customer origination declining 19.3% over the trailing three months — a leading indicator of PLO pressure. New: Recover Repeat-Customer Origination Volume
4512 Moderate Underperforming peers significantly on merchandise sales (−12.8% YoY) and Jewelry inventory turns (0.63x vs. peer ~2.1x). PLO growth is positive but decelerating as Jewelry sell-through lags drop volume. New: Accelerate Jewelry Sell-Through to Reduce Excess Inventory
4601 Moderate Only location in MW3 with negative PLO (−8.3%), NLM (−11.6%), and Net Revenue (−6.4%) YoY. Decline concentrated in Jewelry origination — loan count fell 38.7% over 12 months — with offer consistency on Chains and Bracelets cited as the primary root cause. New: Rebuild Jewelry Origination to Stabilize PLO Trajectory

PLO growth by store — YoY %

Healthy
Mild
Moderate
Watch / negative
District avg (+11.9%)
4201 +28.4% 4238 +19.6% 4315 +16.8% 4402 +14.2% 4451 +12.7% 4418 +11.3% 4490 +9.8% 4534 +8.1% 4512 +6.4% 4601 −8.3% 0% +11.9% avg

Recommended actions

Coaching at Stores 4402 and 4418 on GM counter solicitation — Electronics and Household & Office loan counts down 34.6% and 47.3% respectively; walk the counter approach and confirm the team is actively quoting on all item types presented.

Visit Store 4601 to assess Jewelry origination gap (loan count −38.7% YoY) — walk through grading and offer consistency on Chains and Bracelets specifically, and verify whether the early-July stabilization is holding.

District-wide GM solicitation reminder — Electronics and Household & Office loan counts are declining at 6 of 10 stores; reinforce with store teams the expectation to actively quote GM items at the counter rather than defaulting to Jewelry-only conversations.

Watch list

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AI-generated action plans and aligned to your playbook
Trends flagged 2–3 months before headline numbers decline
Uses existing data stack — no rip-and-replace required
From inception to pilot in under 5 weeks
Requires minimal time from IT or senior operators to go live
"
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.
— COO, multi-location specialty finance operator
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