Cape Town, 7708,
South Africa
Pick n Pay Technographics
Pick n Pay Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Pick n Pay and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 52000 Pick n Pay employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Pick n Pay has purchased the following applications: SAP ERP ECC 6.0 for ERP Financial in 2020, Paymenow for Earned Wage Access in 2022, Pragma On Key Enterprise Asset Management for Enterprise Asset Management in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Pick n Pay is running and its propensity to invest more and deepen its relationship with SAP , Paymenow , Pragma 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 Pick n Pay revenues, which have grown to $6.65 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 Pick n Pay 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.
Pick n Pay Tech Stack and Enterprise Applications
Pick n Pay ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP ERP ECC 6.0 | ERP Financial | ERP | n/a | 2020 | 2020 |
In 2020, Pick n Pay implemented SAP ERP ECC 6.0 to consolidate core financial processes and support its ERP Financial landscape while addressing high transaction volumes and inventory challenges. The initiative was part of a broader effort to adopt SAP reference architecture across retail operations, with SAP ERP ECC 6.0 positioned to underpin financial and administrative reporting for a multi-format retailer operating over 2,000 stores and a large online grocery marketplace.
The technical implementation focused on integrating SAP Customer Activity Repository as a strategic retail data layer, with a targeted SAP CAR POSDTA deployment to replace the previous SAP POSDM application and establish a master data foundation. Configuration work centered on POSDTA capabilities and standardized CDS view development to automate reconciliation file creation, and to ensure the master data model could feed real-time analytics and inventory control functions into SAP ERP ECC 6.0.
Integrations emphasized the flow of point-of-sale transaction data into SAP CAR and onward into the SAP ERP ECC 6.0 financial ledger and reporting layers, alongside file-based reconciliation exchanges with third parties using the new CDS view outputs. The scope covered retail operations and the finance and inventory management functions across Pick n Pay brands, enabling centralized inventory visibility and faster processing of very large transaction volumes exceeding 30 billion.
Beyond Technologies and SAP were engaged in the CAR and POSDTA implementation, with Beyond Technologies delivering the POSDTA build and reconciliation tooling. Reported outcomes included accurate, real-time data and analytics, enhanced stock management with a centralized inventory overview, and optimized one-click administrative and financial reporting, while SAP ERP ECC 6.0 continued to serve as the ERP Financial backbone for transactional finance and reconciliation workflows.
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Pick n Pay HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Paymenow | Legacy | Paymenow | Earned Wage Access | HCM | n/a | 2022 | 2022 |
In 2022, Pick n Pay implemented Paymenow to provide Earned Wage Access and voucher purchases for store and frontline staff in South Africa. The Paymenow deployment targeted employee liquidity and payroll-adjacent financial-wellness offerings, enabling access to earned pay and vouchers for groceries and airtime.
The implementation combined core Earned Wage Access capabilities with voucher issuance workflows, configuring Paymenow to present pay-on-demand balances and generate prepaid grocery and airtime vouchers. Workflows were configured to be HR and payroll facing, so requests and approvals flowed into payroll reconciliation and disbursement processes rather than consumer-facing payroll channels.
Integration was explicitly HR/payroll-facing, linking Paymenow transaction records into payroll cycles and employee benefit records to ensure net pay adjustments and voucher accounting. Operational scope covered store and frontline staff across Pick n Pay in South Africa, aligning the Paymenow deployment with HR, payroll and workforce financial-wellness programs.
Publicity and press coverage indicate Paymenow provided wider employee access to liquidity and measurable reductions in financial stress among users, outcomes cited in external communications. Governance responsibilities were placed with payroll and benefits teams to manage enrollment, eligibility and reconciliation workflows, with configuration focused on embedding Paymenow into existing payroll run cadences.
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Pick n Pay ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Pragma | Legacy | Pragma On Key Enterprise Asset Management | Enterprise Asset Management | ERP Services and Operations | n/a | 2017 | 2017 |
In 2017, Pick n Pay implemented Pragma On Key Enterprise Asset Management to digitise facility and asset management processes across its large retail network. The deployment targeted the group level facilities and store operations for 1925 stores across seven African countries, focusing on complex equipment classes such as HVAC, refrigeration and generators, and on the coordination of a substantial contractor pool.
Pragma On Key Enterprise Asset Management was configured to support asset identification and verification, mobile asset tagging, structured work order management and preventive maintenance workflows. Pragma used an asset tagging mobile app and a formal asset identification and verification process to establish standards and populate the asset register, while functional capabilities implemented included warranty management, supplier rate structures and a budget dashboard to display committed versus spent budget.
The implementation centralized workflows and removed complexity caused by multiple stakeholder systems and processes by consolidating facility and asset lifecycle activities within the Enterprise Asset Management platform. Operational coverage included store maintenance teams, central facilities management and external contractors, with On Key EAM acting as the primary system of record for assets and maintenance activities.
Governance and process transformation were driven by detailed process analysis with the Pick n Pay team, resulting in a simplified and streamlined workflow and automation of several manual steps. The rollout required extensive training and change management across many stakeholder groups, and the overall program experienced delays due to COVID-19 restrictions.
Explicit outcomes recorded in the implementation included improved cost control mechanisms, the identification of cost saving opportunities through warranty enforcement and structured supplier rates, combining non-urgent with urgent work and reducing breakdowns with preventive maintenance. A budget dashboard was delivered to track committed against spent budget, supporting tighter financial oversight of facilities and asset spend.
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Pick n Pay 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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2024 | 2024 |
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Pick n Pay Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Collaboration | Collaboration |
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2017 | 2017 |
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Pick n Pay eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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eCommerce | eCommerce |
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2017 | 2017 |
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Pick n Pay 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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Marketing Analytics | CRM |
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2021 | 2021 |
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Pick n Pay ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2017 | 2017 |
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Pick n Pay 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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2014 | 2014 |
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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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2017 | 2017 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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IT Decision Makers and Key Stakeholders at Pick n Pay
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Pick n Pay Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||