St. Louis, 63118, MO,
United States
Anheuser-Busch US Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Anheuser-Busch US and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 19000 Anheuser-Busch US employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Anheuser-Busch US has purchased the following applications: Augeo Workplace Engagement for Employee Engagement in 2021, Pluto7 Platform for ML and Data Science Platforms, Artificial Intelligence Marketing in 2017, Iris - AI travel Analyst for Chatbots and Conversational AI in 2022 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Anheuser-Busch US is running and its propensity to invest more and deepen its relationship with Augeo , Pluto7 , ITILITE 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 Anheuser-Busch US revenues, which have grown to $12.79 billion 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 Anheuser-Busch US 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.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Augeo | Legacy | Augeo Workplace Engagement | Employee Engagement | HCM | n/a | 2021 | 2021 |
In 2021, Anheuser-Busch US deployed Augeo Workplace Engagement, an Employee Engagement application, to motivate manufacturing staff to volunteer for overtime across 12 US brewery locations. The program called Brew More, Play More launched in summer 2021 and implemented a gamified digital incentive and redemption model to address front-line shift coverage.
Augeo built the Brew More, Play More experience using Augeo Workplace Engagement's gamification and rewards modules, configuring points-based earning tied to overtime sign-ups, a tiered reward catalog, and digital redemption workflows. Configuration emphasized rapid enrollment, visible participation mechanics, and streamlined reward fulfillment to align incentives with hourly manufacturing schedules.
Operational coverage included manufacturing employees at 12 brewery sites in the United States, with workforce sign-up workflows coordinated alongside site scheduling and HR communications. Outcomes reported from the deployment include 55 percent of participants signing up for an average of two shifts and a 91 percent reward redemption rate, and the program received the 2022 Motivation Masters award.
Program governance combined centralized rule and reward configuration in Augeo Workplace Engagement with site-level coordination for shift management and reward distribution, enabling repeatable rollout across breweries. The implementation demonstrates how an Employee Engagement platform can be instrumented to orchestrate frontline incentive programs in manufacturing using gamification and rewards capabilities.
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Pluto7 | Legacy | Pluto7 Platform | ML and Data Science Platforms, Artificial Intelligence Marketing | AI Development | n/a | 2017 | 2018 |
In 2017 Pluto7 built an ML prototype on Google Cloud for Anheuser-Busch US using the Pluto7 Platform. The Pluto7 Platform is categorized as ML and Data Science Platforms,Artificial Intelligence Marketing and was applied to optimize the K Filter beer filtration process within manufacturing.
The implementation focused on manufacturing and process optimization modules, including cloud-hosted data ingestion, feature engineering, model training, and inference pipelines designed to predict filtration performance and drive run parameter adjustments. Pluto7 configured the platform to support iterative model development and automated scoring, aligning typical ML and data science workflows with brewery operational data.
Deployment architecture was cloud-first, leveraging Google Cloud infrastructure for compute and model hosting, and the work originated as a Makeathon in late 2017 in Newark, New Jersey before being scaled and presented publicly in 2018. Operational coverage centered on brewery manufacturing processes and process optimization use cases rather than enterprise finance or HR systems.
Governance and rollout followed an experimentation to scale pattern, with prototype validation during the Makeathon phase and public scaling in 2018. Outcomes reported from the engagement included improved manufacturing outcomes and an increase in barrelage per run of approximately 60 percent as a result of the Pluto7 Platform implementation.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| ITILITE | Legacy | Iris - AI travel Analyst | Chatbots and Conversational AI | AI-Powered Application | n/a | 2022 | 2022 |
In 2022, Anheuser-Busch US implemented Iris - AI travel Analyst with ITILITE to digitize its corporate travel and expense program across global and European operations. Anheuser-Busch US implemented Iris - AI travel Analyst in the Chatbots and Conversational AI category to support corporate travel and expense management for travel and finance teams.
The deployment emphasized rapid onboarding and operational readiness, producing first bookings within weeks. Functional capabilities implemented as part of the engagement included conversational booking assistance and itinerary search, automated booking workflows, travel policy guidance and enforcement, and platform analytics for centralized T&E reporting. Iris - AI travel Analyst was used as the conversational interface and analytics layer within ITILITE’s platform to surface travel visibility and streamline booking actions.
Operational coverage targeted corporate travel and expense workflows used by travel managers and finance teams across its global and European footprint, with configuration focused on consolidating bookings and reporting. Governance centered on centralized T&E reporting and consolidated visibility to improve control, and the engagement delivered faster bookings and centralized T&E reporting for finance and travel teams as described in the ITILITE case summary.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Analytics and BI | Analytics and BI |
|
2024 | 2024 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Enterprise Content Management | Content Management |
|
2019 | 2019 |
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SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Real-Time Transportation Visibility | SCM |
|
2016 | 2016 |
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Route Accounting | SCM |
|
2015 | 2015 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Customer Experience | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2015 | 2015 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Robotic Process Automation | PaaS |
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2019 | 2019 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Cloud Storage | IaaS |
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2020 | 2020 |
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