arcticglacier.com
The playbook uses aggregated delivery records from 75,000 customer locations to benchmark ice consumption against similar stores by ZIP code, and correlates historical delivery patterns with public event calendars to provide predictive demand surge alerts.
arrowstream.com
The playbook uses aggregated pricing from 130,000+ restaurant purchase orders to show distributors SKU-level pricing gaps behind lost bids, and correlates internal supplier incident logs against state health inspection data to identify which distributors precede violations.
View Playbook →bentobox.com
The playbook uses state liquor license databases to identify full-service restaurants with renewals coinciding with peak spring booking seasons, connecting compliance scrutiny with high no-show risk during revenue-critical periods.
View Playbook →aretheyhappy.com
The playbook forensically links state health department violation dates to Yelp review sentiment surges at casual dining chains, demonstrating the exact timeline from health violation to negative review spike with specific location and percentage data.
View Playbook →duettocloud.com
Playbook synthesizes rate shopping intelligence, SEC casino occupancy filings, and NIGC tribal gaming revenue data to show hotel and casino operators where competitors are capturing displaced demand due to rate floor differences during high-value booking windows.
View Playbook →enseo.com
Playbook uses state-level assisted living inspection databases to identify large-capacity facilities with documented emergency response time deficiencies, and benchmarks them against internal MadeSafe system response data to surface facility-by-facility performance gaps.
View Playbook →fourth.com
Playbook maps DOL wage violation patterns, health inspection records, and internal labor cost benchmarks across restaurant locations to predict compliance risk zones for expansion openings.
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