The autonomous investigation engine for executives. Encodes your business expertise to continuously surface insights you didn't know to ask for.
Embedded analytical agents that deliver insights to each customer.
Find performance problems before they hit the P&L.
Investigate every property, every cycle, automatically.
Portfolio intelligence before owners start asking.
Know what's happening across every location before the call.
Our story, our mission, and the people behind Scoop.
Fresh thinking on data, AI, and business intelligence
Using a two-year transactional dataset of orders, Scoop’s agentic AI pipeline automated advanced revenue, product, and retail segmentation analysis, delivering actionable insights that accelerated planning and doubled quarterly order growth.
Using project management task data, Scoop’s end-to-end AI pipeline highlighted bottlenecks in resource allocation and surfaced actionable patterns—resulting in clearer prioritization and improved operational insight.
Leveraging item-level inventory and warehouse utilization data, Scoop’s AI pipeline rapidly generated actionable insights—highlighting allocation rate as the single most impactful lever for inventory turnover.
From a rich transactional dataset, Scoop’s end-to-end AI pipeline surfaced actionable, segment-specific insights that transformed how teams understand profitability, customers, and region-level drivers.
Drawing from a cross-section of retail performance, Scoop’s agentic analytics pipeline swiftly transformed 9-company benchmarking data into actionable insights—identifying the operational and digital levers linked to top-quartile industry performance.
Aggregating over 87,000 retail collection records, Scoop’s agentic AI pipeline revealed performance drivers behind a national footwear recycling program—enabling data-backed decisions that improved efficiency by up to 37%.
A rich US-wide sales and operations dataset met Scoop’s full-cycle AI pipeline—revealing drivers of margin loss and surfacing actionable strategies that increased profit potential across product and customer segments.
Leveraging a diverse menu review dataset, Scoop’s autonomous AI pipeline mapped granular drivers of burrito satisfaction, uncovering actionable insights that elevated both quality and customer engagement.
.webp)