Osaka-shi, n/a,
Japan
Daiso Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Daiso and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 755 Daiso employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Daiso has purchased the following applications: Office Station Labor for Workforce Management in 2022, Google Tag Manager for Tag Management in 2014, Amazon EC2 for Application Hosting and Computing Services 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 Daiso is running and its propensity to invest more and deepen its relationship with F&M Co , Google , Amazon Web Services (AWS) 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 Daiso revenues, which have grown to $250.0 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 Daiso 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 |
|---|---|---|---|---|---|---|---|---|
| F&M Co | Legacy | Office Station Labor | Workforce Management | HCM | n/a | 2022 | 2022 |
In 2022, Daiso implemented Office Station Labor, deploying Office Station's Year End Adjustment plus BPO services to handle HR and payroll year end adjustment processes within its Workforce Management scope. The deployment in Japan processed tens of thousands of employee records, 24,750 reported in the vendor case study, and centralized year end workflows under the Office Station Labor application.
The implementation centered on the Year End Adjustment module combined with vendor operated BPO, configuring application workflows for payroll data intake, statutory withholding calculations, document generation for 年末調整, validation and exception handling. Office Station Labor was configured to support batch processing and administrative case management to reduce manual tasks associated with year end adjustment processing.
Operational coverage focused on Daiso Japan HR and payroll functions, with the BPO functioning as the primary processing layer for employee year end adjustments and administrative tasks, orchestrating payroll record intake and secure processing between Daiso teams and Office Station Labor. The deployment emphasized centralized processing and vendor run operations to handle the high volume of employee records.
Governance shifted toward an oversight model where an internal Daiso operations team supervised vendor BPO controls and exception workflows, while Office Station Labor executed the transactional and document generation work. Daiso reported roughly an 80% reduction in year end adjustment work, enabling a dramatically smaller operations team as a direct outcome of the Office Station Labor Year End Adjustment plus BPO deployment.
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Tag Manager | Tag Management | CRM | n/a | 2014 | 2014 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon EC2 | Application Hosting and Computing Services | IaaS | n/a | 2018 | 2018 |
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Application Hosting and Computing Services | IaaS |
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2022 | 2022 |
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2016 | 2016 |
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Content Delivery Network | IaaS |
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2023 | 2023 |
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