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Deborah Hamilton
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Deborah Hamilton2021-01-19 16:16:222021-01-19 16:16:22Seeing Supply Chain Visibility through Different Lenses
Trace.ai is a cloud-based track and trace product designed to proactively provide operational intelligence for logistics and warehouse functions.
Powered by the convergence of IoT, AI, ML, external supply chain data and your enterprise data, Trace.ai helps you monitor, control and optimize your supply chain execution strategy.
With Trace.ai …
Configure and monitor real-time alerts
on estimated time of arrival and quality of your shipments, deliveries and orders.
Improve shipment visibility
with automation of carrier shipment tracking.
Monitor real-time location and condition
of your inbound and outbound assets and shipments with data streams from carriers, third-party logistics providers, IoT devices, etc.
Overlay external event risk
on supply chain operations, powered by Sense.ai.
DATA SOURCES
- 3PL and carrier data
- IoT-based location and condition data
- On-demand AIS (ocean) and ELD (truck) data feeds
- ERP data (order to shipment)
- External events and risk data feed from Sense.ai
COGNITIVE DATA PROCESSING
- Big data processing (real-time and batch)
- Extract, transform and load data into the Trace.ai ML engine
- Proactive alerts on time and quality from transit to arrival
- Configurable business workflows and alerts
ACTIONS AND INSIGHTS
- OKTA/SSO federated cloud-native web application
- Android and iOS mobile app
- Email and SMS push notifications
- Powerful RESTful API
Benefits and Business Value
Visibility into location, movement, indoor and outdoor path of your inventory
Leading indicators for ETAs and EQAs at your fingertips
Proactive reporting of temperature, humidity, shock, vibration, wear and tear, physical damage, etc.
Timely alerts on delays, missing assets, counts and condition breach
Blockchain-ready solution with easy integration with ERP, WMS, EAM systems and third-party data
Optimized dwell, aging, cycle times and throughput
NEWS AND INSIGHTS
What’s new? What’s trending? What’s to come?
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Deborah Hamilton
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Deborah Hamilton2021-01-19 16:16:222021-01-19 16:16:22Seeing Supply Chain Visibility through Different Lenses
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Vasilisa Barsukova
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Vasilisa Barsukova2020-10-29 18:17:022020-11-02 16:19:05How an Automotive Aftermarket Leader Leveraged ML to Improve New Product Launch Forecast
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Vasilisa Barsukova
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Vasilisa Barsukova2020-09-10 11:53:112021-07-07 23:55:26How to Embrace the New Normal in Demand Planning
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Vasilisa Barsukova2020-05-19 02:10:482020-09-25 19:30:06Webinar: Getting Started with Supply Chain Visibility