Data as of Sep 9, 2026 · Based on 3,265,539 AI responses across 10,525 prompts · See how Parse measures this
Tive provides real-time shipment visibility using cellular, GPS, and Wi‑Fi trackers to monitor location and condition through a cloud-based Tive Platform, including data on temperature, shock, and light. The solution combines hardware, software, and 24/7 expert monitoring to detect risks, trigger alerts, and automate workflows that help prevent delays and damages. It serves industries such as Food & Beverage, Life Sciences, and High-Value Goods, with use cases including cold chain monitoring, cargo theft prevention, and shipment delay management.
Parse Score
Tone of voice
73% of how AI describes Tive reads positive.
Words AI uses
AI reaches for real-time · specialized · ideal when it describes Tive.
Sources
tive.com shapes more of what AI says about Tive than any other source, at 42% of its citations.
wsj.com · youtube.com · parse.gl · tradeverifyd.com
Excerpts where Tive appeared in the AI's answer

Tive : A top choice for real-time, physical shipment tracking using cellular IoT sensors to provide alerts on location, climate, and potential delays.

Tive's proprietary multi-sensor trackers use global cellular connectivity
Excerpts where Tive appeared in the AI's answer

Tive : While primarily an IoT hardware and real-time visibility provider, Tive’s Solo trackers and platform can be deployed for high-value or sensitive ocean cargo

Tive — Known for combining robust software with real-time cellular/GPS hardware trackers (like the Solo 5G).
Excerpts where Tive appeared in the AI's answer

Tive: Offers cellular multi-parameter trackers (temperature, humidity, shock, and light) paired with a cloud software platform that provides real-time location and active excursion alerts to prevent spoilage.

Tive — particularly strong for shipment-level visibility: temperature, humidity, light, shock, GPS, alerts, and audit trails.
Excerpts where Tive appeared in the AI's answer

Tive : Combines real-time shipment sensor data with AI insights to predict in-transit environmental and delay risks before they result in damaged goods or missed delivery windows.