Miami, 33131, FL,
United States
Anaplan Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Anaplan and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 2200 Anaplan employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Anaplan has purchased the following applications: Workday Accounts Receivable for AR Automation in 2014, Greenhouse ATS for Applicant Tracking System in 2015, Google TensorFlow for ML and Data Science Platforms in 2018 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Anaplan is running and its propensity to invest more and deepen its relationship with Workday , Oracle , Expensify 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 Anaplan revenues, which have grown to $1.02 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 Anaplan 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 |
|---|---|---|---|---|---|---|---|---|
| Workday | Legacy | Workday Accounts Receivable | AR Automation | ERP Financial Management | n/a | 2014 | 2014 |
In 2014, Anaplan implemented Workday Accounts Receivable as part of an AR Automation deployment to centralize collections and cash workflows. The implementation was led from the Senior Credit and Collections function which managed all collection activities for US, Canada, EMEA, Latin America, and APAC from January 2014 to December 2016. Business functions in scope included accounts receivable, credit, collections, cash application, tax compliance and external audit support.
Workday Accounts Receivable deployment concentrated on Workday cash, accounts receivable, collections and credit modules, configured to handle daily cash collections, processing of new vendor forms, collections outreach and problem resolution. The configuration supported automated aging, bad debt reserve tracking and periodic AR flux reporting consistent with AR Automation capabilities. Workday Accounts Receivable served as the system for weekly and monthly aging updates and for producing quarterly bad debt and accounts receivable flux reports.
Operational coverage extended across regional finance teams and the controller, with the Senior Credit and Collections team acting as the chief liaison between Anaplan and external auditors, providing reports to assist quarterly and yearly audits of accounts receivable and cash balances. The role included researching tax treatments and applying for a PAN document to reduce India withholding rates, indicating the Workday Accounts Receivable implementation supported tax compliance workflows. Expense processing and approval of submitted billable hours were evaluated and processed as part of broader finance operations tied to AR reporting.
Governance changes included establishment of credit policy and procedures with guidance from the Senior Credit and Collections lead, and instituting a regular reporting cadence to the controller. An explicit outcome documented during the period was a reduction of greater than 90 days past due balances from over 1 million dollars or 20 percent of the aging to less than 50 thousand dollars or 1 percent in the first month of hiring. The implementation combined AR Automation tooling in Workday Accounts Receivable with strengthened credit and collections governance.
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ERP Financial | ERP Financial Management |
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2015 | 2015 |
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ERP Financial | ERP Financial Management |
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2014 | 2015 |
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Expense Management | ERP Financial Management |
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2014 | 2014 |
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Expense Management | ERP Financial Management |
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2015 | 2015 |
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Subscription and Recurring Billing | ERP Financial Management |
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2015 | 2015 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Greenhouse | Legacy | Greenhouse ATS | Applicant Tracking System | HCM | n/a | 2015 | 2015 |
In 2015, Anaplan implemented Greenhouse ATS as its Applicant Tracking System. Greenhouse ATS was provisioned to operate on Anaplan's public careers site and serve as the primary job posting and candidate intake mechanism for hires sourced through the website.
The deployment focused on standard Applicant Tracking System capabilities, including job requisition publishing, candidate pipeline and stage management, interview orchestration, and offer tracking. Operational coverage centers on Anaplan's recruiting and talent acquisition functions, with configuration work to align hiring workflows and role based access controls and to ensure the career site integration routes applicants directly into Greenhouse ATS. Anaplan Greenhouse ATS Applicant Tracking System supports recruiting and talent acquisition business functions across the organization.
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google TensorFlow | ML and Data Science Platforms | AI Development | n/a | 2018 | 2018 |
In 2018, Anaplan implemented Google TensorFlow to embed machine learning capabilities into its Connected Planning platform as part of a strategic move into ML and predictive planning. The deployment used TensorFlow models running on Google Cloud Machine Learning Engine to add predictive forecasting and optimization capabilities to Anaplan’s planning workflows.
Anaplan engaged Google Cloud Professional Services to identify required datasets and accelerate model development, resulting in two customer prototype builds that used custom TensorFlow models. The implementation focused on predictive planning and inventory optimization workflows, aligning TensorFlow model training and inference with Anaplan’s Connected Planning use cases and complementing existing mathematical optimization capabilities such as Optimizer.
Integrations implemented during the proofs of concept included ingestion of historical sales, inventory, and promotions data, point of sale feeds, external signals such as customer demographics and weather from BigQuery Public Datasets, and cross‑market sales and health data. The first POC ran on 10 percent of a large beverage customer’s U.S. market over two months, and a second POC for a CPG customer evaluated short term forecasting across three brands over six weeks, demonstrating the operational scope was customer program level and focused on planning and supply chain decisioning.
Governance and rollout emphasized rapid proofs of concept to discover high value use cases, a collaborative delivery model with Google Cloud Professional Services to avoid false starts, and an ongoing partnership model to provide continued ML expertise and platform updates. The approach prioritized fast time to market for machine learning solutions and selective operationalization of models that proved relevant to enterprise customers.
Outcomes reported by Anaplan and Google include identification of almost $2 million in achievable savings for a large beverage customer through local retail inventory optimization, described as a 15 percent uplift versus other methods, and more than $4 million in potential improvements for a CPG customer from improved forecasting and inventory decisions. Anaplan stated that running Google TensorFlow models on Google Cloud Machine Learning Engine made the company more competitive in an AI driven market and reduced the risk and cost of tactical decision making for its customers.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Chatbots and Conversational AI | AI-Powered Application |
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2020 | 2020 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Audio Video and Web Conferencing | Collaboration |
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2018 | 2018 |
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Event Management | Collaboration |
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2019 | 2019 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Contract Lifecycle Management | Content Management |
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2021 | 2021 |
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Digital Signing | Content Management |
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2021 | 2021 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Account Based Marketing | CRM |
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2020 | 2020 |
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Customer Data Platform | CRM |
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2020 | 2020 |
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Customer Experience | CRM |
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2019 | 2019 |
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Customer Experience | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2021 | 2021 |
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Customer Experience | CRM |
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2022 | 2022 |
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Customer Support | CRM |
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2011 | 2011 |
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Data Management Platform | CRM |
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2020 | 2020 |
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Digital Advertising Platform | CRM |
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2015 | 2015 |
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Marketing Analytics | CRM |
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2015 | 2015 |
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Marketing Analytics | CRM |
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2017 | 2017 |
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Marketing Analytics | CRM |
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2020 | 2020 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2011 | 2011 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2014 | 2014 |
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EPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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EPM | EPM |
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2007 | 2007 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2013 | 2013 |
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Incident Management | ITSM |
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2018 | 2018 |
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IT Service Management | ITSM |
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2019 | 2019 |
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PPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Project Portfolio Management | PPM |
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2019 | 2019 |
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Procurement
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Procurement | Procurement |
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2015 | 2015 |
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Sourcing | Procurement |
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2016 | 2016 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Governance, Risk and Compliance | TRM |
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2018 | 2018 |
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Governance, Risk and Compliance | TRM |
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2018 | 2018 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Test Automation Platform | PaaS |
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2016 | 2016 |
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Test Automation Platform | PaaS |
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2016 | 2016 |
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Test Automation Platform | PaaS |
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2020 | 2020 |
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Transactional Email | PaaS |
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2019 | 2019 |
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Transactional Email | PaaS |
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2021 | 2021 |
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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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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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Cloud Storage | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2015 | 2015 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Identity and Access Management (IAM) | CyberSecurity |
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2021 | 2021 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2018 | 2018 |
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| First Name | Last Name | Title | Function | Department | Phone | |
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