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What is PAR OPS?

PAR OPS™ is an advanced restaurant operations platform built to give operators full control over costs, performance, and efficiency. Acting as a single source of truth, it unifies inventory management, labor scheduling, data analytics, theft detection, and delivery recovery under one ecosystem. The Inventory module reduces waste and food costs through recipe-level tracking, prep sheets, and theoretical vs. actual costing, cutting daily inventory time to under 15 minutes. Workforce tools balance labor efficiency with employee satisfaction by enabling mobile scheduling, automated shift management, and predictive staffing based on demand. Intelligence offers powerful forecasting and custom reporting, while Coach allows leaders to monitor 100+ KPIs in real time and assign tasks across locations. Detect combats loss with transaction-level visibility and video integration, preventing theft and saving operators thousands annually. Recovery simplifies delivery loss disputes, automatically detecting issues with third-party marketplaces and recovering revenue with minimal manual effort. The Delivery module streamlines reconciliation across DSPs, consolidating data into one dashboard while detecting outages before they affect customers. With premium add-ons like checklists, manager’s logs, and invoice scanning, operators can customize PAR OPS™ to fit their exact needs. Trusted by top franchises like Arby’s and Cousins Subs, the platform combines industry-leading expertise, automation, and support to help restaurants save money, protect margins, and focus on growth.

What is FoodDataLab?

FoodDataLab provides a comprehensive range of food and grocery data intelligence specifically designed for major global markets, delivering precise market signals across diverse sectors such as food delivery, restaurants, online grocery, quick commerce, FMCG, CPG, and the HoReCa industry. The platform tracks more than 10 million venues and SKUs in over 200 markets and across 500 platforms, ensuring that users receive daily updates and real-time insights into food and grocery services worldwide. These extensive datasets empower organizations to analyze their market share, assess venue coverage, monitor competitor menus, evaluate SKU ratings and reviews, and examine numeric distribution, while also identifying potential restaurant leads and tracking loyalty and subscription efforts. For chains operating restaurants, the platform facilitates oversight of operating hours, system uptime, estimated delivery times, visibility on multiple platforms, competitor evaluations, and menu changes. In contrast, grocery and quick-commerce teams can use the data to track shelf share, search rankings, product pricing, stock availability challenges, assortment gaps, delivery zones, and the locations of dark stores. By providing such in-depth information, FoodDataLab not only boosts operational efficiency but also enhances strategic decision-making across a multitude of sectors, making it an invaluable resource for businesses looking to thrive in the competitive food and grocery landscape. Ultimately, the insights gleaned from this platform can significantly influence market strategies and improve overall performance in the industry.

Media

Media

Integrations Supported

AllianceHCM
PAR

Integrations Supported

Deliveroo
DoorDash
Google Maps
Grubhub
Keeta
Snoonu
Talabat
Uber Eats

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
iPhone
iPad
Mac

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

PAR Technology

Date Founded

1968

Company Location

United States

Company Website

partech.com/products/par-ops/

Company Facts

Organization Name

FoodDataLab

Company Location

United States

Company Website

fooddatalab.com

Categories and Features

Categories and Features

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