Build auditable and definitive cold chain compliance across hundreds or thousands of remote cold chain warehouses in the world with contextual, automated, touchless, active temperature monitoring technology and contextual analytics for every stakeholder involved.
Get a DemoToday, the most common method of tracking the cold chain warehouses is using passive or active data loggers, leading to:
Manual touchpoints in passive data logging that make data delayed and unusable for preventive action.
Challenge #2Visibility limited to a zone level, not a product level, even if data is captured in real-time.
Challenge #3Inability to identify and foresee an impact on quality control (QC) or stock expiry date changes at an aggregate level.
Better visibility by combining warehouse information with real-time location and condition data from NIST-certified IoT sensors on products on zones and data streams from weather forecasting platforms.
Step 2: Alerts & SignalsBuilt on verifiable visibility, alerts & signals empower better decisions and drive automation. For example, a business signal about an optimal warehouse temperature setting is derived by sensing internal and external conditions to enable quality compliance (QC).
Step 3: IntelligenceUse AI-powered network insights & foresights for better supply chain planning & execution. For example, score quality compliance (QC) by zone, warehouse, and region and forecast this key performance indicator (KPI).
Business Signals for
Business Signals for
Business Signals for
A prominent global food company wanted to weather-proof its vendor-managed warehouses in warm regions. Roambee's intelligence helped identify the top 50 of their 487 zones across 265 warehouses, contributing to more than 75% of their cold chain compliance breaches. It enabled them to reduce their aggregate temperature excursions by 10X to ensure top product quality and maintain shelf life.
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