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.
SE2 grew net sales at 9 of 12 stores, but transactions fell at 8. The shared work this cycle is Footwear sell-through.
- Screened 12 of 12 stores
- 40+ investigations per store
- Checked against your playbook
Growth is coming from ticket, not trips. All 5 stores flagged for review sit below the 56% Footwear sell-through median. Attention goes first to 2053, then 2619 and 2847.
Transactions fell 11.2%, last of 12 stores. Footwear sell-through is 41% against the 56% median.
The store looked perfect. The report flagged something a newer manager would have walked right past. We followed the thread and found the problem.
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
This is what Scoop actually delivers.
Every manager in the chain gets a briefing: what's happening in their business, why, and what to do about it. District managers get a territory overview. Store managers get a location report. Generated automatically, every cycle.
Net sales grew at 9 of 12 stores, but transactions fell at 8. The shared work is Footwear sell-through.
Growth is coming from ticket, not trips. All 5 stores flagged for review sit below the 56% median.
Holding ticket but losing trips. The lead is Footwear.
Trips are the store-specific gap. Transactions fell 11.2%, last of 12.
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.
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?
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 a dashboard 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.
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.