United Rentals

We Build Technology Like You Would If You Knew How To

United Rentals

AI Voice Assistant
United Rentals is the largest equipment rental company in the world. The company’s approximately 26,000 employees serve construction and industrial customers, utilities, municipalities, homeowners and others.

Business Challenge

An AI-driven assistant app  “AI Max” that  enhances engagement through voice-to-voice experience and automates  responses to support a salesperson placing a complex order while on the move.

What we did

Fully functional application on web, Android and iOS
Designed to place a draft reservation in their UR Max saved cart with draft information using voice interaction.
A custom voice assistant
to place orders leveraging 1000 of equipments, customer and jobsites with unparalleled speed and accuracy.
Speech To Text (STT) and Text to Speech (TTS)
Using OpenAI’s whisper, and have the ability to switch to groq within the application.
Fully functional application on web, Android and iOS
Designed to place a draft reservation in their UR Max saved cart with draft information using voice interaction.
A custom voice assistant
to place orders leveraging 1000 of equipments, customer and jobsites with unparalleled speed and accuracy.
Speech To Text (STT) and Text to Speech (TTS)
Using OpenAI’s whisper, and have the ability to switch to groq within the application.

How we did it

Custom AI Agent Solution

At the start, we aimed to build a fully customizable AI system using Autogen to orchestrate a group of specialized agents.

Agents as a Service

To reduce complexity and expedite development, we transitioned to AWS Bedrock Agents, a managed ecosystem designed to leverage pre-configured agent architectures. Bedrock offered out-of-the-box support for multiple Large Language Models (LLMs), including Claude, Llama, and Mistral.

Improving Speed and Tool Calls

To enhance performance, we revisited the architecture, focusing on optimizing tool usage and response times.

Delivering a working prototype

The prototype proved the concept but highlighted issues with accuracy, customization, and audio quality. Iterative improvements in STT/TTS flexibility, state management, and user feedback created a faster, user-friendly experience.

Key features Delivered

Voice Calibration
Calibrate your voice to help Max accurately recognize your voice in your current environment.
Assigned customers
You can find all of your assigned customers along with the favorites you chose in UR max.
Change speech models
If you are not happy with the way your voice messages are trascribed to text, you can try changing the model.
Voice Calibration
Calibrate your voice to help Max accurately recognize your voice in your current environment.
Assigned customers
You can find all of your assigned customers along with the favorites you chose in UR max.
Change speech models
If you are not happy with the way your voice messages are trascribed to text, you can try changing the model.

What was the result?

Wissam Kahi

Digital Transformation & Sustainability Director

Polar Stork undertook the ambitious challenge of developing an AI-driven voice conversational agent designed to revolutionize how Sales Representatives place reservations on behalf of customers. The resulting product is not only a testament to their innovation and expertise but has also garnered such acclaim that it will be prominently showcased at the company’s Annual Management Meeting- a true benchmark of its impact and excellence.