Lexington, 40508, KY,
United States
A&W Restaurants, Inc. Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by A&W Restaurants, Inc. and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 4000 A&W Restaurants, Inc. employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that A&W Restaurants, Inc. has purchased the following applications: Stripe Payments for Payment Processing in 2020, Workstream Hiring for Recruiting in 2020, Sift Science Digital Trust Platform for ML and Data Science Platforms in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems A&W Restaurants, Inc. is running and its propensity to invest more and deepen its relationship with Stripe , Google , Workstream or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing A&W Restaurants, Inc. revenues, which have grown to $350.0 million in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for A&W Restaurants, Inc. intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury 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 |
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Payment Processing | ERP Financial Management |
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2020 | 2020 |
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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.
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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.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Collaboration | Collaboration |
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2015 | 2015 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Content Management | Content Management |
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2022 | 2022 |
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Contract Lifecycle Management | Content Management |
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2016 | 2016 |
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SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Order Management | SCM |
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2018 | 2018 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Data Management Platform | CRM |
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2019 | 2019 |
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Data Management Platform | CRM |
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2019 | 2019 |
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2019 | 2019 |
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Digital Advertising Platform | CRM |
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2016 | 2016 |
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Digital Advertising Platform | CRM |
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2021 | 2021 |
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Marketing Analytics | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2016 | 2016 |
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Marketing Analytics | CRM |
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2023 | 2023 |
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Marketing Automation | CRM |
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2001 | 2001 |
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Marketing Automation | CRM |
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2017 | 2017 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
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Remote Monitoring and Management | ITSM |
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2020 | 2020 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2017 | 2017 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Hosting and Computing Services | IaaS |
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2015 | 2015 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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