Chope
100 Beach Road Shaw Tower, No 35-00,
Singapore, 189702,
Singapore
Singapore, 189702,
Singapore
65 6225 6612
Professional Services
Chope Technographics
Chope Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Chope and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 200 Chope employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Chope has purchased the following applications: Xero for ERP Financial in 2017, Workable ATS for Applicant Tracking System in 2022, Google Cloud Machine Learning Engine for ML and Data Science Platforms in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Chope is running and its propensity to invest more and deepen its relationship with Xero , Workable , Breezy HR 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 Chope revenues, which have grown to $15.0 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 Chope 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.
Chope Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Xero | Legacy | Xero | ERP Financial | ERP Financial Management | n/a | 2017 | 2017 |
In 2017, Chope implemented Xero as its ERP Financial application to support finance and accounting functions. The implementation included an assisted data migration effort, where financial records were cleaned and prepared for transfer onto Xero, and the project emphasized mapping the chart of accounts and transactional records to the new accounting structure.
The Xero deployment was configured as a cloud-based accounting instance with core ERP Financial capabilities enabled for general ledger, accounts payable, accounts receivable, bank reconciliation, and financial reporting. Operational scope centered on Chope's finance and accounting teams in Singapore, with governance focused on data validation, chart of accounts alignment, and revised reconciliation and bookkeeping workflows to align with Xero's platform during cutover and initial rollout.
|
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Workable | Legacy | Workable ATS | Applicant Tracking System | HCM | n/a | 2022 | 2022 |
In 2022, Chope implemented Workable ATS as its Applicant Tracking System. The deployment uses Workable ATS embedded on Chope's public website to host job listings and capture candidate applications directly into the vendor's cloud-hosted recruitment environment. Configuration focused on job posting templates, branded career site pages, and candidate pipeline stages to suit a small professional services firm with approximately 10 employees.
Functional capabilities implemented include requisition creation, applicant tracking across configurable pipeline stages, interview scheduling, and candidate evaluation forms, aligned to core recruiting and HR workflows. The integration between the website and Workable ATS centralizes application intake for HR and hiring managers, enabling a single administrative control point for user permissions and hiring approvals. Governance was established through role-based hiring owner accounts and standardized pipeline workflows to support consistent hiring operations at Chope.
|
|
|
|
|
Recruiting, Applicant Tracking System | HCM |
|
2021 | 2021 |
|
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud Machine Learning Engine | ML and Data Science Platforms | AI Development | n/a | 2016 | 2017 |
In 2016, Chope deployed Google Cloud Machine Learning Engine to power its restaurant discovery and dish search functionality, implementing a cloud-first ML stack within the ML and Data Science Platforms category. Chope used Google Cloud Machine Learning Engine to process, analyze, and report on a high-volume event stream, achieving a sustained throughput of 775,000 records per day to support discovery features in customer-facing applications.
The implementation centered on model training and serving workflows, with configuration for batch data processing, feature engineering, and online inference to support both recommendation and search use cases. Google Cloud Machine Learning Engine was used for iterative model development, automated training runs, and model versioning, while operational workflows included scheduled batch scoring alongside lower-latency serving for user queries about nearby restaurants and specific dishes.
Operationally the deployment linked Chope’s data ingestion and analytics pipelines to the machine learning serving layer, enabling product and engineering teams to surface personalized and location-aware results in web and mobile experiences. The work impacted product search, recommendation, and analytics functions, and included reporting capabilities to track model outputs and daily data volumes.
Governance practices emphasized model evaluation, data quality checks, and retraining cadence to maintain relevance of dish-level search and restaurant recommendations. The deployment of Google Cloud Machine Learning Engine enabled Chope to scale machine learning-driven discovery at operational pace, processing 775,000 records per day and enabling users to discover restaurants around them and search for restaurants that serve dishes they crave.
|
Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Collaboration | Collaboration |
|
2014 | 2014 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Digital Advertising Platform | CRM |
|
2016 | 2016 |
|
|
|
|
|
Marketing Analytics | CRM |
|
2013 | 2013 |
|
|
|
|
|
Marketing Analytics | CRM |
|
2021 | 2021 |
|
|
|
|
|
Marketing Analytics | CRM |
|
2016 | 2016 |
|
|
|
|
|
Marketing Analytics | CRM |
|
2021 | 2021 |
|
|
|
|
|
Marketing Automation | CRM |
|
2017 | 2017 |
|
|
|
|
|
Tag Management | CRM |
|
2017 | 2017 |
|
ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Performance Management | ITSM |
|
2017 | 2017 |
|
PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Apps Development | PaaS |
|
2022 | 2022 |
|
|
|
|
|
Transactional Email | PaaS |
|
2021 | 2021 |
|
|
|
|
|
Transactional Email | PaaS |
|
2018 | 2018 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2014 | 2014 |
|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2020 | 2020 |
|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2013 | 2013 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2018 | 2018 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2022 | 2022 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2018 | 2018 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2021 | 2021 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2022 | 2022 |
|
IT Decision Makers and Key Stakeholders at Chope
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Chope Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Chope Technographics
Chope is a Professional Services organization based in Singapore,
with around 200 employees and annual revenues of $15.0 million.
Chope operates a diverse technology stack with applications such as
Xero, Workable ATS and Google Cloud Machine Learning Engine,
covering areas like ERP Financial, Applicant Tracking System and ML and Data Science Platforms.
Chope has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Xero, Workable and Google.
Chope recently adopted applications including
Workable ATS in 2022, Bubble Platform in 2022 and StackPath CDN in 2022,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Chope’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Chope’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 Chope technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.