AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

PepsiCo Mexico Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
SAP Legacy SAP S/4 HANA ERP Financial ERP Financial Management n/a 2022 2023
In 2022, PepsiCo Mexico deployed SAP S/4 HANA to establish ERP Financial coverage for Order to Cash and Accounts Receivable operations across its Mexican business. The initiative was aligned to the PepsiCo Global template and PBNA deployment efforts, with a Deployment Coordinator role focused on embedding Order to Cash functionality into the new SAP S/4 HANA environment. The implementation covered explicit functional modules including Order and Contract Management, Pricing, Rebates and Free Goods, Direct Store Delivery DSD models, Transportation and Logistics, and Accounts Receivable. Core OTC workflows configured in SAP S/4 HANA included order capture and management, pricing agreements such as on-invoice and off-invoice discounts, free goods, list price and surcharge handling, freight and tax calculation, rebate agreements and customer bill backs, and returns and inbound product receipts. Master data governance workstreams were defined for business partner and customer hierarchy objects to support consistent pricing and settlement. Integrations were scoped to connect SAP S/4 HANA with front line mobility solutions for Van Sales and other DSD GTM models, and with warehouse systems and advanced transportation systems for palletization, route planning and load building. Operational coverage emphasized picking, packing, shipping and delivery processes plus settlement flows for customer and stock transport orders, with route accounting and settlement capabilities for van sales, pre sales, pre order and vending channels. Governance and delivery adopted PepsiCo Agile Methodology PAM, using sprint planning, retrospectives and cross-functional scrum teams with onshore and offshore members to maintain a prioritized product backlog. The Deployment Coordinator role partnered with Order to Cash Global Process Owners and Solution Design Leads, and collaborated with RTR, PTP, MTD, FP&A, FTS and HTR value stream teams to align RICEFs and end-to-end solution design. Engineering practices emphasized continuous integration, automated testing and continuous peer review to support phased rollout and sustained operation. PepsiCo Mexico SAP S/4 HANA ERP Financial implementation centered on operationalizing OTC and A/R capabilities, coordinating master data, pricing controls and DSD logistics within the global template, and embedding governance and Agile delivery practices to sustain the end-to-end ERP solution.
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
iCIMS Legacy iCIMS Recruit Applicant Tracking System Applicant Tracking System HCM n/a 2021 2021
In 2021, PepsiCo Mexico implemented iCIMS Recruit Applicant Tracking System on its public careers website to centralize job posting and application intake for the Mexican organization. The deployment serves PepsiCo Mexico recruiting and talent acquisition teams across the country and is provisioned to support centralized requisition capture and candidate submission workflows. The iCIMS Recruit Applicant Tracking System implementation configures core Applicant Tracking System capabilities including job requisition management, career site posting and branded application flows, candidate profile and resume intake, applicant tracking workflows, interview scheduling and standard reporting and compliance tracking. Workflow automation and configurable hiring stages are applied to route candidates through screening, assessment and offer stages, and to maintain candidate status history for audit and compliance needs. Architecturally the solution is implemented as a web-embedded careers site integration that captures applications in real time and provides candidate self-service on the public portal. Governance and operational ownership reside with PepsiCo Mexico talent acquisition and HR operations teams, who manage requisition creation, approval workflows and access controls, and who localize hiring workflows and data handling for Mexico. PepsiCo Mexico iCIMS Recruit Applicant Tracking System supports Recruiting and Talent Acquisition as an Applicant Tracking System.
Core HR HCM 2019 2020
Core HR HCM 2022 2023
Environment, Health and Safety (EHS) HCM 2019 2019
Payroll HCM 2018 2019
Payroll HCM 2017 2018
Workforce Management HCM 2018 2019
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, PepsiCo Mexico implemented Microsoft Azure Machine Learning as its central ML and Data Science Platforms environment to support advanced analytics and enterprise ML projects. The Microsoft Azure Machine Learning deployment was positioned to service data scientists and ML engineers working on ML and AI projects, with a specific emphasis on automating the ML lifecycle within a CI/CD operating model. The implementation centered on Azure Machine Learning Services and Pipelines to provide experiment management, model training orchestration, model registry and automated model deployment capabilities. Functional workflows included model development using Python and Spark, time series analysis and forecasting, pipeline-driven training and validation, and operational monitoring including cloud alerts, dashboards and logging for machine learning infrastructure. Integrations documented in the scope included Databricks for big data processing, Azure Pipelines for CI/CD orchestration, the NGAA Azure platform for platform services, Azure Data Factory for data movement, Power BI for reporting, and version control via GitHub. The environment was also aligned with tools commonly used by the team such as MLflow and Kubeflow for model tracking and deployment, and it supported collaboration between data scientists, data engineers and ML engineers across multiple locations. Governance and rollout emphasized adherence to enterprise architecture standards, automated end to end ML pipelines, and operational controls for monitoring and troubleshooting production models. Responsibilities explicitly included delivering advanced analytics projects on time and on budget while applying MLOps practices, and establishing version control, CI/CD pipelines and alerting to operationalize model deployments.
Analytics and BI
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Analytics and BI Analytics and BI 2021 2021
Analytics and BI Analytics and BI 2021 2021
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Web Content Management Content Management 2016 2016
SCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Supply Chain Management SCM 2020 2020
Transportation Management SCM 2022 2023
Warehouse Management SCM 2020 2020
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Customer Analytics CRM 2021 2021
Marketing Automation CRM 2021 2021
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Lifecycle Management ITSM 2022 2023
Incident Management ITSM 2019 2020
IT Service Management ITSM 2020 2020
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Apps Development PaaS 2020 2020
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2014 2014
Content Delivery Network IaaS 2018 2018
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Web Application Firewalls (WAF) CyberSecurity 2021 2021
IT Decision Makers and Key Stakeholders at PepsiCo Mexico
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by PepsiCo Mexico Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD PepsiCo Mexico Technographics

PepsiCo Mexico is a Consumer Packaged Goods organization based in Mexico, with around 10200 employees and annual revenues of $7.01 billion.

PepsiCo Mexico operates a diverse technology stack with applications such as SAP S/4 HANA, iCIMS Recruit Applicant Tracking System and Microsoft Azure Machine Learning, covering areas like ERP Financial, Applicant Tracking System and ML and Data Science Platforms.

PepsiCo Mexico has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as SAP, iCIMS and Microsoft.

PepsiCo Mexico recently adopted applications including SAP S/4 HANA in 2022, SAP SuccessFactors Employee Central in 2022 and SAP S/4 HANA Transportation Management in 2022, highlighting its ongoing modernization strategy.

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

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