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AI in logistics and transportation: Use cases

Jen Bui
Jennifer Bui

Senior Product Marketing Manager

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Artificial Intelligence

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Fun fact:

Dialpad has amassed almost 4 billion minutes of transcription and voice, 5 billion Ai events categorized, and 145 million Ai recommendations.

Post call summary UI
Screenshot of Dialpad Ai Recaps generating a summary and action items after a phone call ends
Case study:

TRAFFIX said Dialpad “was the most advanced phone system out of all the competitors.” Thanks to Ai-powered transcription, analytics, real-time agent assistance, and more.

Screenshot of Dialpad Ai analyzing the sentiment of multiple calls in real time Knock out recruiting
Case study:

Diapad keeps C.R. England's 120 fleets of drivers connected: “It’s been a mover for our company. The goals we’re setting and achieving as a company couldn’t have been done without our drivers participating on Dialpad. So it’s been a strong initiative and has been very successful.”

Fun fact:

According to the State of AI in Customer Service Report, agents using Dialpad Ai can handle, on average, twice as many calls as those who don’t.

Screenshot of Dialpads real time assist card feature popping up helpful notes for an agent or rep when a tricky question comes up on a call Strawberry Hill
Case study:

Dialpad Ai gives ShipEx, a Truckload fleet, a competitive advantage (a few, actually) by enabling real-time transcription, sentiment analysis, feedback and coaching, risk management, and more.

Creating a chatbot flow in dialpad self service blog size healthcare
Real-world example:

BearingPoint and DHL joined forces to create "Marie," an innovative solution leveraging Salesforce Service Cloud and Einstein AI. By automating the resolution of customer requests received via chat, Marie provided a seamless experience for customers, while enabling agents to efficiently handle inquiries more effectively.

Real-world example:

UPS uses an AI-powered system called "ORION" (On-Road Integrated Optimization and Navigation) to optimize its delivery routes. By analyzing package weight, destinations, and delivery schedules, ORION intelligently determines the most efficient route for each driver. Since its launch in 2012, ORION has enabled UPS to save approximately 100 million miles and conserve 10 million gallons of gasoline each year.

Real-world example:

DHL uses an AI-powered system called "Cubicycle" to optimize its delivery routes in city centers. Cubicycle uses data on traffic patterns, delivery locations, and weather conditions to optimize the most efficient route for its electric bikes.

Real-world example:

Amazon uses an AI-powered system called "Kiva" to optimize its warehouse operations. Kiva uses robots to transport products to and from storage shelves, significantly reducing the time it takes to fulfill customer orders.

Real-world example:

FedEx uses an AI-powered system called "SenseAware" to track and monitor the condition of packages in real-time. SenseAware uses sensors and AI algorithms to monitor temperature, humidity, and other environmental conditions, allowing FedEx to ensure that sensitive packages are delivered in optimal conditions.

Transportation & logistics companies love Dialpad Ai

See how transportation & logistics companies are using Dialpad Ai to optimize their operations, reduce inventory costs, and ensure timely delivery of goods. Book a chat with our team, or take a self-guided interactive tour!