Advanced Data Analytics
Overview
The CloudBox KPI Dashboard is a centralized analytics view that evaluates inventory performance using live data from Smart Containers, movement logs, compliance systems, and external integrations. Each KPI card provides a targeted insight into turnover behavior, stock risks, update consistency, expiration exposure, velocity, predictive trends and overall inventory health.

What Problem It Solves
Without CloudBox, operators struggle to understand true inventory performance because data is scattered, outdated, or unreliable.
- Operators lack real-time visibility into stock levels, expiration risk, and SKU performance.
- Manual counts and stale updates lead to inaccurate reporting and silent financial losses.
- Slow-moving, overstocked, or dead inventory goes unnoticed until it becomes costly.

How CloudBox Does It Better
CloudBox automatically calculates KPIs using continuous sensor data and system integrations—building an accurate, always-live analytics environment.
- Smart Containers generate real-time weight, movement, and access data for precise metrics.
- POS, ERP, and compliance integrations ensure accuracy across all systems.
- Automated insights surface low stock, overstock, dead stock, and expiration issues instantly.
Instantly view turnover, expiration risk, velocity, and stock status without reports or spreadsheets.
CloudBox flags low stock, overstock, dead stock, and variance issues the moment they occur.
A single score summarizes operational accuracy, update activity, and inventory stability.
See top sellers, most active SKUs, and slow-moving items to optimize purchasing and restocking.
Watch it in action!
Benefits to the End User
CloudBox’s KPI cards deliver operational clarity, financial protection, and automation.
- Significant time and labor savings by eliminating manual reporting and analysis.
- Reduced shrinkage, expiration loss, and overstock through early-risk detection.
- Real-time insights enhance purchasing accuracy, replenishment planning, and compliance readiness.
