Your BI shows you what happened. Scoop makes it actionable.
Scoop codifies your best operators' judgment into an AI model that scans operating performance at every location. Every manager knows what's happening, why, and the action plan that the best locations follow.
A map of all 1,214 Kestrel Outfitters stores, each checked. 52 need action this week: 14 are Severe, visit this week, and 38 are Moderate, address this week. The most urgent is Store 2114 in Aurora, Colorado.
- 1,214 of 1,214 checked
- 52 of 1,214 need action
- 14 of 1,214 visit this week
- Severe, visit this week
- Moderate, address this week
- Mild or Healthy
- Each mark is one store.
Kestrel Outfitters is a fictional retailer. Figures are illustrative.
Store 2114, Aurora, COSevere, visit this week
Saturday sales are 22% below last year. Traffic is steady; conversion fell 7 points after the August schedule moved two associates off Saturday afternoons.
Sent to Chris Palmer and Dana Morales at 6:10 a.m.
Scoop is the next step after BI.
BI answers what's happening. Why it's happening and what to do about it still lands on your team. Scoop picks up exactly where BI leaves off. It runs diagnostics automatically, delivers plain-language action plans to every manager based on your best operators' judgment, and tracks what worked. No chat interface. No prompting required.
Layers on top of your existing BI stack: Power BI, Tableau, Looker, and 100+ more
Every store, read every week.
Every week, Scoop reads every location the way your best district manager would, if they had the time to visit all of them. Most stores get a quick look. The ones that need it get a real investigation, run by your playbook, not a generic checklist. Problems show up while they are still small, before they reach your bottom line. Your team sets the calendar. Scoop does the reading.
Most stores are fine, and Scoop says so.
Nobody needs another alarm. When a store is doing well, its manager hears that in one line and gets back to the floor. Attention goes where it is actually needed: a note to keep an eye on the few that are drifting, and a real plan for the handful that need one.
“Healthy. Sales up 7.0% on traffic up 1.0%, and Saturday conversion held at 30.2%. Nothing needs your attention this week.”
The 52 that need action share four causes.
Fifty-two stores with problems sounds like fifty-two fires. It isn’t. Read under one standard, they come down to four causes. That is four decisions for your leadership team, not fifty-two separate conversations.
A pattern no single store manager could see.
From inside one store, it looked like a slow Saturday. From a district office, it looked like bad luck. Read together, every one of those Saturday problems traced back to the same place: the August labor model, rolled out in three regions. One cause, and one decision for the people who can change it.
And every manager still gets a briefing written for them: a territory overview for each district manager, a location report for each store.
The store looked perfect. The report flagged something a newer manager would have walked right past. We followed the thread and found the problem.
Make every location run like your best one.
Scoop applies your best practices automatically, at every location, every cycle. Nothing gets missed. Performance improves across the network.
Turn your BI into a decision engine
BI tells you what happened. Scoop tells you why it happened and what to do about it. Every location is screened every reporting cycle automatically. Silent performance drifts, margin leaks, and execution gaps are surfaced before they reach your bottom line.
It layers directly on top of your existing stack (Power BI, Tableau, Looker, or whatever you run) without disrupting your team or requiring a new tool for anyone to learn.
- Split sales into trips and ticket
- Ranked against 11 peers
- Traced to Footwear
Trips are the problem, not spend. Transactions fell 11.2%, last of 12 stores, while avg ticket rose 3.2%.
Reset the Footwear wall. Sell-through is 41% against a 56% district median, lowest in SE2.
Sample report. Stores and figures are illustrative.
Encode your best operators' judgment
Eight hours with your best district managers. Their thresholds, their investigation logic, their veto decisions, the exceptions they know to make. Encoded into versioned rules that run at every location, every cycle.
Your best operators turn over. The judgment they carry does not have to. Every manager gets the same quality of insight your best DMs provide in person, without the travel, the headcount, or the institutional knowledge walking out the door.
Store 2053 is holding ticket but losing trips. The lead this visit is Footwear sell-through.
Severe- Trips are the store-specific gap. Transactions fell 11.2%, last of 12 stores, while avg ticket rose 3.2% to $43.10.
- Footwear is not turning. Sell-through is 41% against a 56% district median, lowest in SE2.
Footwear aging: sell-through under 45% for 2 cycles
Walk the Footwear wall with the manager. Which styles are past 120 days, and what is holding their markdown?
Sample report. Stores and figures are illustrative.
Closed-loop action management
Scoop delivers a specific action plan to each manager (store manager, district manager, regional VP) based on their location's data and your operating playbook. Not another report to interpret. A concrete next step.
It then tracks which actions were taken, what happened to the numbers, and feeds that signal back into the playbook. The performance gap between your best and worst locations closes automatically, cycle by cycle.
Footwear sell-through is 41%, lowest in SE2, with 158 days of stock on hand.
- 1Walk the wall with the category lead every Monday; pull anything past 120 days.
- 2Mark down aged styles on cadence and confirm to the district manager.
Goal: lift sell-through from 41% to 56%.
Store 2114 completed its Hardlines action. Transactions YoY moved from −9.1% to −6.8%, and the store dropped from Severe to Moderate.
Sample report. Stores and figures are illustrative.
For the team who'll actually own this.
Your environment. Your models. Your configuration. Your data, exportable.
Read the build vs buy caseRuns where you run.
Deploy into your own cloud. Your data never leaves your governance boundary.
Configuration you can read.
Versioned, auditable rules, not a prompt in one person's head.
Your model contracts.
Bring your own provider credits. Routing stays current as the model market moves.
Yours to leave with.
Your data, knowledge layer, and action history, exportable, contractually.
Augment your frontline, improve your bottom line.
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.