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.
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.
The store looked perfect. The report flagged something a newer manager would have walked right past. We followed the thread and found the problem.
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
Scoop applies your best practices automatically, at every location, every cycle. Nothing gets missed. Performance improves across the network.
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.
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.
Hardlines transaction count declining sharply — Team Sports −24% YoY, Fitness Equipment −27% YoY. Loyalty member transaction share dropped from 31% in January to 18.9% in June. When member share falls this fast, comp sales typically follow 2–3 months later.
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.
Comp trajectory stabilizing. Now close inventory overhang — full-price Footwear sell-through is the next lever.
Your environment. Your models. Your configuration. Your data, exportable.
Read the build vs buy caseDeploy into your own cloud. Your data never leaves your governance boundary.
Versioned, auditable rules, not a prompt in one person's head.
Bring your own provider credits. Routing stays current as the model market moves.
Your data, knowledge layer, and action history, exportable, contractually.
Sanitized samples from a retail client live in production today. A district brief and a store report — the actual outputs district managers and store managers receive every cycle.
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.