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What is PAR?

PAR stands as a comprehensive technology platform specifically designed for the restaurant and hospitality sector, offering a wide range of integrated solutions that include point-of-sale systems, ordering methods, payment processing, loyalty programs, operational tools, hardware, and analytics capabilities. The diverse product range features PAR POS, catering to both large enterprises and smaller businesses, in addition to PAR Pay and PixelPoint, while also providing PAR OPS tools that address inventory management, workforce optimization, analytics, and delivery services. In the realm of customer engagement, PAR supports marketing efforts, promotions, and loyalty initiatives through innovative tools like Punchh Loyalty and digital ordering systems. Moreover, PAR underscores its dedication to innovation with the PAR AI suite, which utilizes artificial intelligence within its restaurant technologies to generate valuable insights, streamline processes, and improve operational intelligence. These interconnected solutions not only improve the efficiency of front-of-house and back-of-house operations but also unify data management and convert customer interactions into valuable insights. Furthermore, the company offers a variety of hardware options, including tablets, drive-thru systems, and POS peripherals, supplemented by essential services such as cloud computing and hardware maintenance, creating a comprehensive ecosystem for its clients. By providing such a wide array of solutions, PAR effectively positions itself as a crucial ally in enhancing both restaurant operations and customer experiences while continuously adapting to the evolving needs of the industry.

What is Agot?

Agot addresses major hurdles encountered by restaurant managers, including ensuring accurate orders, reducing food waste, and improving service efficiency. By employing cutting-edge computer vision technology, Agot observes restaurant operations and provides real-time feedback to staff while generating valuable analytics. The system identifies items being prepared in the kitchen and sends immediate correction alerts to line personnel, ensuring that each dish is made precisely with the correct ingredients and packaged correctly. Additionally, Agot offers real-time preparation timelines based on fluctuating demand forecasts, reflecting both dine-in and drive-thru customer patterns, as well as the current inventory available for sale. It also assesses customer interactions both inside the restaurant and at the drive-thru, issuing timely notifications to mitigate long wait times. The critical performance indicators tracked by Agot include drive-offs, customer exits, wait times, and customer dwell durations, among various other essential metrics. By harnessing this innovative technology, restaurant operators can optimize their workflows and greatly improve the overall dining experience for their customers. This leads to enhanced customer satisfaction and loyalty, ultimately benefiting the restaurant's bottom line.

Media

Media

Integrations Supported

PAR Engagement
PAR OPS
PAR Ordering
PAR POS
PAR Pay
PAR PixelPoint

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

PAR Technology

Date Founded

1968

Company Location

United States

Company Website

partech.com

Company Facts

Organization Name

Agot

Date Founded

2019

Company Location

United States

Company Website

agot.ai

Categories and Features

Customer Loyalty

Not specified

Online Ordering

Not specified

Point of Sale

Not specified

Restaurant Management

Not specified

Restaurant Marketing

Not specified

Restaurant POS

Not specified

Categories and Features

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