An average shipment emits tens of thousands of sensor and third-party data points. Our customers have hundreds of lanes that contain thousands of shipments per day.
Dots on a map and streaming temperature data are nice, but they fail to tell us what action needs to be taken, limiting visibility program ROI.
Manually extracting patterns, trends and insights is not scalable or optimal – the process must be automated, and it must be self-learning.
An ounce of prevention beats the best pound of cure
Whether it’s a delayed shipment or a temperature excursion, reacting to OTIF excursions puts products at risk, reduces operational efficiencies and strains customer relationships.
Machine learning-enabled prediction minimizes delays, prevents temperature excursions, and keeps customers happy.
If you don't know what's causing your historical excursions, it's impossible to identify and predict when, where and how they'll strike again.
Gain clarity by getting granular with your data.
Visibility should not be about responding to alerts and alarms. Action what matters and leave the rest.
Inject intelligence into your visibility control tower by quantifying risk on your lanes and live shipments and knowing exactly which factors to address to assess critical tradeoffs.
PAXAFE is the OS for visibility control towers. PAXAFE's B2B SaaS platform — CONTXT — is an AI-enabled, device-agnostic risk-management platform that reduces product loss, improves operational efficiency and optimizes decision making for perishable shippers and service providers. PAXAFE contextualizes active and passive visibility data, quantifies risk and predicts OTIF adverse events.
Unlike sensor-enabled visibility providers that leave enterprises as ‘data rich but insights poor’, PAXAFE understands that operationalizing visibility is not a human problem -- it’s a machine problem. PAXAFE exists to unleash the value of visibility program data.
Unleash the value of supply chain visibility by contextualizing insights that unlock intelligent decision making
