AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

AJE Group Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Oracle Legacy Oracle Cloud ERP ERP Financial ERP Financial Management n/a 2020 2021
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Oracle Legacy Oracle Cloud HCM Core HR HCM n/a 2020 2021
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 2019 2019
In 2019 AJE Group implemented Microsoft Azure Machine Learning as a core component of its ML and Data Science Platforms strategy. The implementation was initiated under the Global Data & Analytics Coordinator remit and targeted analytics coverage across LATAM and ASIA, driven by an integrated DataLake architecture to consolidate Salesforce, SQL sources, and AWS Redshift data. The deployment combined Microsoft Azure Machine Learning with a DataLake and a BI repository composed of a DataWarehouse and DataMarts for LATAM and ASIA. Microsoft Azure Machine Learning was used to develop predictive models and machine learning algorithms focused on churn prediction and customer segmentation, with model development conducted in Python using standard data science libraries and data preparation performed through SQL, SSIS, and SSAS processes. Integrations implemented during the program included Salesforce for CRM data, AWS Redshift as an external data source, on premise SQL databases, and downstream visualization in Tableau and Salesforce Einstein Analytics Desktop and Mobile Exploration. Model scoring and segmentation results were operationalized through Python based integration workflows that loaded outputs into Salesforce to influence pricing and promotion actions at points of sale. Governance work established a BI repository and DataLake model to standardize data ingestion, lineage, and reporting across the organization, aligning analytics workflows with commercial teams. The clustering model identified four customer segments and was applied to discount and bonus decisioning, with the model contributing to a 4% increase in sales versus the 2021 forecast as reported by the analytics team.
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Chatbots and Conversational AI AI-Powered Application 2020 2020
Analytics and BI
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Analytics and BI Analytics and BI 2019 2019
Data Warehouse Analytics and BI 2019 2019
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Audio Video and Web Conferencing Collaboration 2022 2022
Collaboration Collaboration 2012 2012
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application, Web and Enterprise Search Content Management 2020 2020
eCommerce
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
eCommerce eCommerce 2023 2023
SCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transportation Management SCM 2020 2021
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Customer Experience CRM 2020 2021
Sales Automation, CRM, Sales Engagement CRM 2021 2021
EPM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
EPM EPM 2020 2021
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Data Migration PaaS 2019 2019
Extract, Transform, and Load (ETL) PaaS 2019 2019
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2019 2019
Application Hosting and Computing Services IaaS 2019 2019
Application Hosting and Computing Services IaaS 2015 2015
Cloud Storage IaaS 2019 2019
Content Delivery Network IaaS 2020 2020
Content Delivery Network IaaS 2020 2020
IT Decision Makers and Key Stakeholders at AJE Group
First Name Last Name Title Function Department Email Phone
No data found
Apps Being Evaluated by AJE Group Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD AJE Group Technographics

AJE Group is a Consumer Packaged Goods organization based in Peru, with around 10000 employees and annual revenues of $1.30 billion.

AJE Group operates a diverse technology stack with applications such as Oracle Cloud ERP, Oracle Cloud HCM and Microsoft Azure Machine Learning, covering areas like ERP Financial, Core HR and ML and Data Science Platforms.

AJE Group has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Oracle and Microsoft.

AJE Group recently adopted applications including Riqra E-Commerce Platform in 2023, Zoom in 2022 and Salesforce Sales Cloud in 2021, highlighting its ongoing modernization strategy.

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

Our research team continuously updates AJE Group’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 AJE Group technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.