AI Buyer Insights:

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Pickles Auctions Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Microsoft Legacy Microsoft Dynamics 365 for Finance and Operations ERP Financial ERP Financial Management n/a 2018 2018
In 2018, Pickles Auctions implemented Microsoft Dynamics 365 for Finance and Operations as its ERP Financial platform to establish a single source of truth and cloud-based visibility across the enterprise. The decision followed a requirement for greater flexibility and scalability to support broader commercial partnerships and faster business pivoting, and Pickles adopted a cloud-native Microsoft Dynamics 365 for Finance and Operations solution because the organization was already an existing Microsoft customer and preferred the familiar interface. The implementation began with a phased program that started by restructuring the company accounts, reflecting an emphasis on core financial management first. Microsoft Dynamics 365 for Finance and Operations was configured to deliver core ERP Financial capabilities, including general ledger consolidation, accounts payable and receivable workflows, cash management, and unified financial reporting, alongside operational controls to provide transactional and inventory visibility consistent with auction operations. Deployment was executed as a cloud-based Microsoft Dynamics 365 for Finance and Operations architecture managed through an engagement with DXC Technology, the selected implementation partner and the DXC Practice for Microsoft. The platform was positioned to enable cross-functional coverage across finance, sales and operations, and to support future partnerships with finance companies and lease companies by providing standardized data models and a single enterprise record for transactions and counterparties. Governance and rollout were organized as a five-phase business transformation program led by DXC and Pickles leadership, with the first phase focused on accounts restructuring and subsequent phases addressing wider operational integration and process standardization. Outcomes explicitly stated in the program rationale include improved ability to pivot and adapt, faster capture of partnership opportunities, and enhanced competitiveness through broader buyer engagement, all enabled by Microsoft Dynamics 365 for Finance and Operations as the companywide ERP Financial system.
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
The Access Group Legacy Access MicrOpay (ex Sage MicrOpay) Payroll HCM n/a 2017 2017
In 2017, Pickles Auctions deployed Access MicrOpay (ex Sage MicrOpay) as its Payroll application. The deployment targeted finance and HR operations across Australia and supported payroll processing for approximately 1,000 employees in the professional services business. Access MicrOpay was configured to deliver core Payroll capabilities including pay calculations, tax and superannuation processing, leave and entitlements management, scheduled pay runs and statutory payroll reporting. Configuration work emphasized Australian payroll compliance, pay file generation for banking and payroll reporting exports used in financial routines. The implementation included a defined payroll integration project linking Access MicrOpay to Pickles Auctions' enterprise resource planning system, creating a data interface for posting payroll journals into the ERP. Payroll transaction feeds were surfaced into internal reporting routines, supporting the Senior Financial Accountant's PowerBI reports for debtor analysis, entity performance and accounts payable reconciliation. Governance and rollout centered on cross functional stakeholder coordination between finance, HR and IT, with finance ownership for reconciliation rules, payroll to general ledger mappings and role based access controls. Change activities focused on establishing payroll processing cadence, validation workflows and executive level reporting handoffs to the ELT.
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Microsoft Legacy Microsoft Azure Machine Learning ML and Data Science Platforms AI Development n/a 2016 2017
In 2016, Pickles Auctions implemented Microsoft Azure Machine Learning as part of its ML and Data Science Platforms adoption to centralize model development for its data science and analytics functions. The implementation sits alongside a broader shift to Microsoft and Azure services, including Power BI and Azure cognitive services, and is coordinated with the companywide master data management strategy that underpins data, information and knowledge competency. Microsoft Azure Machine Learning was configured to support standard platform capabilities such as experiment tracking, model training and validation, pipeline orchestration and model registry for operational scoring. The deployment emphasized reusable model artifacts and automated pipelines to accelerate iteration, while retaining governance controls through experiment metadata and model lineage capture. Integrations reflect the stated Microsoft stack, with Microsoft Azure Machine Learning linked to Power BI for downstream visualization and to Azure cognitive services for inference enrichment, while the master data management approach supplies curated feature sets and reference data. Operational coverage included the centralized data science team, analytics and IT platform teams across Pickles Auctions in Australia, serving business intelligence and analytic consumption needs. Governance and rollout aligned with the master data management program, instituting model governance practices, deployment gating and version control consistent with MLOps principles. The vendor stack and data governance posture were positioned to enable Pickles Auctions core competency in data, information and knowledge as the organization expanded its use of ML and analytics.
Analytics and BI
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Analytics and BI Analytics and BI 2019 2019
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Web Content Management Content Management 2018 2018
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
CRM, Sales Engagement CRM 2021 2021
Customer Analytics CRM 2021 2021
Customer Experience CRM 2018 2018
Data Management Platform CRM 2019 2019
Digital Advertising Platform CRM 2016 2016
Digital Advertising Platform CRM 2020 2020
Digital Advertising Platform CRM 2017 2017
Marketing Analytics CRM 2015 2015
Marketing Analytics CRM 2012 2012
Marketing Analytics CRM 2018 2018
Marketing Analytics CRM 2021 2021
Marketing Automation CRM 2018 2018
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
IT Service Management ITSM 2019 2019
PPM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Project Portfolio Management PPM 2017 2018
TRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Governance, Risk and Compliance TRM 2020 2020
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2012 2012
Application Hosting and Computing Services IaaS 2021 2021
Application Hosting and Computing Services IaaS 2014 2014
Application Hosting and Computing Services IaaS 2018 2018
Application Hosting and Computing Services IaaS 2021 2021
Content Delivery Network IaaS 2021 2021
Content Delivery Network IaaS 2021 2021
Content Delivery Network IaaS 2018 2018
Content Delivery Network IaaS 2020 2020
Content Delivery Network IaaS 2021 2021
Content Delivery Network IaaS 2021 2021
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Secure Email Gateways (SEGs) CyberSecurity 2017 2017
Secure Web Gateways (SWG) CyberSecurity 2021 2021
IT Decision Makers and Key Stakeholders at Pickles Auctions
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Pickles Auctions Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Pickles Auctions Technographics

Pickles Auctions is a Professional Services organization based in Australia, with around 1000 employees and annual revenues of $1.55 billion.

Pickles Auctions operates a diverse technology stack with applications such as Microsoft Dynamics 365 for Finance and Operations, Access MicrOpay (ex Sage MicrOpay) and Microsoft Azure Machine Learning, covering areas like ERP Financial, Payroll and ML and Data Science Platforms.

Pickles Auctions has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Microsoft and The Access Group.

Pickles Auctions recently adopted applications including Zoho CRM Plus in 2021, GoSquared in 2021 and AppsFlyer Marketing Analytics in 2021, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Pickles Auctions’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Pickles Auctions’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

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