Overview
With just-in-time inventory now the norm across many industries, lost or misdirected goods can cause measurable disruption to operations. Historically, production, logistics, and supply chain management have been separate domains, with key information spread across ERP data (such as parts lists and product quantities), schedule data (such as truck loading and unloading events), and transit data (such GPS location and speed of movement). By harnessing the power of cloud services to ingest and combine data from multiple sources, TensorIoT can bring digital transformation to your logistics and supply chain management.
Enhanced supply chain track and trace capability provides improved situational awareness for the flow of goods in tandem with actionable insight to allow your team to take corrective steps before operations are significantly disrupted.
Regardless of your current system setup, TensorIoT can work with you to bring digital transformation to your supply chain visibility capabilities, helping you avoid missed shipments, misdirected shipments, or mislabeled shipments. Whether through computer vision, RFID tagging, data integration and analytics, or machine learning enhanced scheduling and forecasting, TensorIoT will work with you to deliver a Supply Chain Track and Trace solution that is tailored to your needs, no matter your role in the supply chain as a producer, consumer, or logistics operator. And your solution will be fully scalable so your track and trace solution will grow as your business grows.
Highlights
- Enhance visibility of goods from production to ultimate destination
- Track product at any point in the supply chain
- Trace goods back to their origin, with rich history