AI-powered analytics for ops leaders and analysts. Connect your data, ask questions, and get answers in minutes — no SQL, no waiting.
The autonomous investigation engine for executives. Encodes your business expertise to continuously surface insights you didn't know to ask for.
Turn marketing data into insights—without manual reports.
Drive renewals and upsells with AI analytics.
Turn CRM Data Into Clear Who, Why, and When Answers
Transform any application into an intelligent analytics platform
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Using a comprehensive patron dataset, Scoop’s automated AI pipeline rapidly uncovered revenue gaps, churn signals, and high-value audience segments—empowering a volume-based subscription business to stabilize income and identify fresh monetization opportunities.
By applying Scoop’s agentic AI pipeline to a comprehensive multi-client IT service ticket dataset, teams uncovered critical process bottlenecks and achieved breakthrough efficiency improvements.
By analyzing over 2,100 customer support tickets from a retail & e-commerce management platform, Scoop’s automated AI pipeline rapidly surfaced actionable insights—enabling teams to target resolution barriers, slim manual workload, and unlock opportunities for better user self-service.
By analyzing nearly 5,000 nonprofit sector sales opportunities with Scoop’s agentic AI pipeline, the client swiftly identified lead qualification gaps and prioritized market segments—achieving actionable sales insights and new growth strategies.
Using a rich dataset on executive roles from technology and telecommunications businesses, Scoop’s AI-driven pipeline rapidly mapped organizational hierarchies—revealing that 73 % of leadership positions are management-level, with strategic insight into role combinations and title diversity.
A project management tracking dataset was assessed using Scoop’s automated AI-powered pipeline, which surfaced a critical implementation gap: complete data absence, preventing actionable project timeline insights.
This case study draws on a cross-industry B2B customer feedback dataset; Scoop’s end-to-end AI pipeline unlocked actionable pathways to greater customer satisfaction.
Analyzing a registry of Gmail addresses, Scoop's end-to-end AI pipeline uncovered decisive patterns in email complexity, enabling improved interface and validation design for smoother user onboarding.
Using multi-region sales, marketing, and customer satisfaction data, Scoop’s agentic AI pipeline revealed the precise marketing thresholds that drove sales performance and highlighted actionable patterns for improving regional efficiency—resulting in significant sales uplift and sharper marketing ROI.
A compact dataset capturing new client bookings was analyzed by Scoop’s end-to-end AI pipeline—automating feature extraction, machine learning, and narrative generation—to reveal clear, actionable insights on revenue drivers and retention risks.
By automating end-to-end insight extraction from a 244-row issue tracking dataset, Scoop’s AI pipeline identified root backlog causes and unlocked a 50% boost in average issue resolution efficiency.
By applying Scoop’s agentic AI pipeline to 244 issue-tracking records, this organization revealed workload imbalances, rapid root causes of backlog, and new paths to operational efficiency.
A transactional snapshot of plan adoption across marketplace shops, processed end-to-end by Scoop’s agentic AI pipeline, pinpointed concentration and opportunities for higher-tier conversion.
Analyzing comprehensive time-tracking data from a security contractor, Scoop’s agentic AI automatically mapped workforce, location patterns, and compensation, revealing actionable ways to optimize coverage and payroll.
By unifying multi-country security framework implementation and service coverage data, Scoop’s end-to-end agentic AI pipeline revealed a glaring maturity gap—enabling rapid benchmarking and action.
By integrating workforce time-tracking and payroll data, Scoop’s AI pipeline surfaced non-obvious patterns in shift allocation, pay structures, and validation workflows, leading to actionable improvements in resource planning.
A centralized transactional billing dataset underwent Scoop’s automated AI analytics pipeline, revealing hidden reporting gaps and delivering action-ready insights for optimizing category utilization.
Leveraging opportunity lifecycle data, Scoop’s end-to-end AI pipeline surfaced key pipeline conversion metrics, speeding sales cycles and highlighting actionable optimization levers.
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