BeonIQ
Enterprise SaaS for shippers managing $2M to $50M+ in annual freight spend.
Enterprise shippers were running their logistics on spreadsheets. Cost anomalies went unnoticed for days because by the time an analyst pulled the data, formatted it, and found the spike, the window to act had closed. Warehouse teams at loading docks had zero access to analytics. They could not query the system without leaving their station, finding a computer, and waiting for someone in the office to run a report. The people closest to the freight had the least visibility into what it cost.
AI Executive Briefings
Every morning the system analyzes overnight freight data and surfaces what changed. Cost spikes, carrier delays, volume shifts. Each anomaly comes with root cause analysis attributing it to specific factors: fuel costs, volume changes, carrier rate increases, weight shifts. Recommended actions are quantified with savings potential. Operations leads see lane-level detail. Executives see portfolio-level trends. Finance sees cost allocation breakdowns. Same data engine, three lenses.
Voice-First Warehouse Access
A conversational AI interface powered by ElevenLabs lets warehouse teams ask questions hands-free at the loading dock. "Which carriers had the highest delay rate this quarter?" translates to Databricks SQL, executes against the warehouse, and returns a formatted answer in seconds. The same query engine backs a text interface for office users. Natural language in, structured insight out, no SQL knowledge required anywhere in the organization.
Fourteen KPI dashboards track cost per pound, cost per mile, load count, margin analysis, equipment utilization, and seasonal forecasting with month-over-month and year-over-year trends. Built on 25 Lambda functions, 12 DynamoDB tables, and AWS AppSync with GraphQL. Enterprise authentication through Cognito and Okta SSO. The anomaly detection system identifies unusual metric changes and generates cost-saving recommendations with quantified consolidation and optimization opportunities.
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