Scoop

Keep your BI tools. Make them actionable.

Scoop doesn't replace your BI reports. It's an AI-powered performance management layer that uses your existing BI data to proactively diagnose issues, generate action plans, and close the loop on execution: automatically, at every location, every cycle.

YOUR BIBI SystemsWhat happened.PerformanceManagementWhy it happened, and what to do.

Layers on top of your existing BI stack: Power BI, Tableau, Looker, and 100+ more

Power BI
Tableau
Looker
Snowflake
BigQuery
Redshift
+ 100 more
We trained it once. Now it handles 95% of our diagnostic work without us.
Director of Business Intelligence · F&B Operator · 140+ locations

Your BI answers 'the what'. The hard part is 'what now?'

Your BI stack surfaces the numbers. Scoop combines them with the operating knowledge inside your best people, codified into the model, then runs it automatically: screening every location every cycle, diagnosing the cause, delivering role-specific action plans, and tracking whether they moved the needle.

Your data
Your operators
What your BI gives you
  • Dashboards
  • Periodic reports
  • Self-serve BI
  • Visualizations
  • Some RCA (manual)
What Scoop adds
  • Opportunity detection
  • Autonomous RCA
  • Role-specific reports and action plans
  • Action monitoring

Same infrastructure, more outcomes, less inbox.

You built the data infrastructure, defined the KPIs, and trained the teams. Scoop sits on top of all of it: no new reports, no data plumbing, no rebuild required.

Diagnostic interruptions drop out of your queue

Managers get the analysis from Scoop, not from you. No more ad-hoc "why is location X down?" requests.

Your KPIs generate action, not just numbers

The infrastructure you built gets used at every level of the business, every cycle, not just by the people who know their way around a BI tool.

No new reports. No new plumbing.

Scoop maps to your existing BI data. If the metrics are there, we’re good. Your setup stays exactly as it is.

Focus on what only you can do

Strategic analysis, new data questions, higher-value work, not "can you pull this for me?"

Your BI shows every location the same view.

Scoop writes a narrative for each one, then picks the chart that says it best.

A category gap gets a category chart. A peer gap gets a ranked strip. A slow drift gets a trend line. The same template never fits every store. You cannot configure a BI tool to do this.

Sample data shown, in the structure of a real Scoop report.

A generic summary
Scoop’s page
Store 2053

Store performance showed mixed results this period. Sales were 8.4% below the prior year while transactions were down 11.2%. The store should continue to focus on conversion, staffing and inventory to drive improvement in the coming weeks.

Store 2053Severe

Footwear is the one category not turning.

Sell-through by category, tick marks the district median
Hardlines61%
Apparel58%
Accessories54%
Footwear41%
Store 2619

Store performance showed mixed results this period. Sales were 2.7% below the prior year while transactions were down 6.1%. The store should continue to focus on conversion, staffing and inventory to drive improvement in the coming weeks.

Store 2619Moderate

Visitors are not turning into buyers. Conversion is 20.3%, 10th of 12.

Conversion, all 12 stores, median 23.2%
2619median
Store 2847

Store performance showed mixed results this period. Sales were 2.1% above the prior year while transactions were down 3.9%. The store should continue to focus on conversion, staffing and inventory to drive improvement in the coming weeks.

Store 2847Moderate

Transactions have slipped 6 months running. Small today, but steady.

Transactions YoY, Oct 25 to Sep 26
Cover the store number

The stack, layer by layer

Layer 1

Management

Schedulers, configuration, and task orchestration. The operational layer that keeps every cycle running on time, across every location, without manual intervention.

Few AI projects are high ROI, timeboxed, accurate. Pick all three.

AI analytics projects are hard to execute: ensuring output accuracy, maintaining data quality, governing security, codifying operating playbooks, and managing inference costs at scale are non-trivial problems, especially across large organizations with multiple product lines and segments. We've done the hard work over 4 years already. Talk to us about how.

Fast time to value

We typically get to pilot in around 4 weeks

No pilot purgatory

Results in the first reporting cycle, not the tenth

Predictable inference costs

Inference costs are heavily optimized to screen cheaply, investigate only where needed. At 1000+ locations, 40+ investigations, naive solutions don't scale economically.

Closed-loop actions

You're running a business. Scoop creates clear actions that generate impact, and tracks them

Your data stays in your control.

Scoop does not share your data or your operations with anyone outside the teams and systems required to deliver your implementation. We maintain strict separation between client engagements. Scoop became SOC 2 certified in 2025.

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.

Questions, answered