AI Buyer Insights:

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Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

A&W Restaurants, Inc. Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Stripe Legacy Stripe Payments Payment Processing ERP Financial Management n/a 2020 2020
Payment Processing ERP Financial Management 2020 2020
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Workstream Legacy Workstream Hiring Recruiting HCM n/a 2020 2020
In 2020, A&W Restaurants, Inc. implemented Workstream Hiring as a centralized Recruiting platform to modernize hourly talent acquisition across its United States restaurant footprint. The deployment targeted store-level hiring teams and corporate talent acquisition staff supporting more than 625 restaurants, consolidating applicant intake from walk-ins, SMS links, employee referrals, and online job posts into a single operational feed. Workstream Hiring was configured with category-aligned capabilities including smart screening, video resume capture, a consolidated application feed, interviewer and training notes, and automated scheduling workflows. Hiring managers used the Workstream Hiring mobile application and email notifications to review candidates, recommend hires, and advance applicants through staged workflows, while recruiters leveraged video resumes to reduce in-person screening requirements. The implementation integrated native job board distribution across 25,000 job boards, two-way SMS reminders with rescheduling, and calendar links to managers Google Calendar for interview setup, creating a connected candidate communication layer. Operational coverage included store managers, district hiring teams, and corporate recruiting, with the platform surfacing applicants from multiple channels into a single dashboard for faster decisioning. Governance shifted toward digital scheduling and structured screening workflows, with automated candidate status notifications and SMS reminders embedded in hiring processes to reduce no-shows. A&W reported explicit outcomes from the Workstream Hiring deployment, including a time savings of three hours per candidate in screening, a 60 percent reduction in no-show rates, and maintenance of a 70 percent turnover rate as stated by internal stakeholders, with senior leadership describing the platform as a significant time saver for the talent acquisition function.
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Sift Science Legacy Sift Science Digital Trust Platform ML and Data Science Platforms AI Development n/a 2020 2020
In 2020, A&W Restaurants, Inc. implemented Sift Science Digital Trust Platform on their website. The Sift Science Digital Trust Platform was deployed in the ML and Data Science Platforms category to instrument customer touchpoints on awrestaurants.com and establish automated risk signaling for online ordering and customer interactions. Configuration focused on core digital trust capabilities common to the category, including behavioral profiling, device and session telemetry ingestion, model driven risk scoring, automated decisioning through policy rules, and analyst case management dashboards. The deployment of Sift Science Digital Trust Platform included pipelines for feature ingestion and model scoring, and configuration of policy engines to convert risk scores into allow, challenge, or review actions. Integrations were delivered through client side instrumentation and server side API calls to surface risk signals during checkout and account interactions, embedding scoring into order and payment decision flows on the public website. The implementation's operational scope is web centric, affecting ecommerce, payments, and customer support functions that interact with flagged transactions and analyst review queues. Governance was organized to centralize decision policies and escalation workflows, with staged rollout across the site and operational handoff to risk analysts for rule tuning and model monitoring. Sift Science Digital Trust Platform supports ongoing monitoring and feedback to refine detection logic and sustain model performance over time.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2015 2015
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Content Management Content Management 2022 2022
Contract Lifecycle Management Content Management 2016 2016
SCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Order Management SCM 2018 2018
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Data Management Platform CRM 2019 2019
Data Management Platform CRM 2019 2019
Digital Advertising Platform CRM 2017 2017
Digital Advertising Platform CRM 2019 2019
Digital Advertising Platform CRM 2016 2016
Digital Advertising Platform CRM 2021 2021
Marketing Analytics CRM 2020 2020
Marketing Analytics CRM 2016 2016
Marketing Analytics CRM 2023 2023
Marketing Automation CRM 2001 2001
Marketing Automation CRM 2017 2017
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Remote Monitoring and Management ITSM 2020 2020
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2017 2017
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2015 2015
Content Delivery Network IaaS 2021 2021
IT Decision Makers and Key Stakeholders at A&W Restaurants, Inc.
First Name Last Name Title Function Department Email Phone
No data found
Apps Being Evaluated by A&W Restaurants, Inc. Executives
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD A&W Restaurants, Inc. Technographics

A&W Restaurants, Inc. is a Leisure and Hospitality organization based in United States, with around 4000 employees and annual revenues of $350.0 million.

A&W Restaurants, Inc. operates a diverse technology stack with applications such as Stripe Payments, Workstream Hiring and Sift Science Digital Trust Platform, covering areas like Payment Processing, Recruiting and ML and Data Science Platforms.

A&W Restaurants, Inc. has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Stripe, Workstream and Sift Science.

A&W Restaurants, Inc. recently adopted applications including Chatmeter Analytics Studio in 2023, Jolt Information Library in 2022 and Adform in 2021, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of A&W Restaurants, Inc.’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates A&W Restaurants, Inc.’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete A&W Restaurants, Inc. technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.