AI Buyer Insights:

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Nissan Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
SAP SAP ERP ECC 6.0 SAP S/4 HANA ERP Financial ERP Financial Management Ibm 2019 2022
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Workday Legacy Workday HCM Core HR HCM n/a 2018 2018
Payroll HCM 2018 2018
Recruiting, Applicant Tracking System HCM 2018 2018
Recruiting, Applicant Tracking System HCM 2015 2015
ERP Services and Operations
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Senseye Legacy Senseye PdM Computerized Maintenance Management (CMMS) ERP Services and Operations n/a 2018 2018
In 2018 Nissan implemented Senseye PdM in the Computerized Maintenance Management (CMMS) category to scale predictive maintenance across its global manufacturing footprint. The program targeted a reduction of production downtime by up to 50 percent across thousands of diverse machines, addressing an abundance of sensor data and limited skilled analysis resources. Nissan operates manufacturing sites in 20 countries and expanded the deployment into plants producing models such as the Qashqai, X-Trail, Leaf, and Rogue. Over more than five years Nissan deployed Senseye PdM to remotely monitor machine health across its plants, leveraging Senseye’s patented artificial intelligence and proprietary machine learning algorithms to deliver failure forecasts. The implementation emphasized per machine type model development, remote condition monitoring, automated alerts and operational dashboards, and a structured process to on-board new equipment. Nissan adopted Senseye PdM Omniverse to upskill users, enabling engineers to independently provision models and scale predictive capability across sites. The environment currently monitors more than 10,000 machines across over 100 machine types, including robots, conveyers, drop lifters, pumps, motor fans, and press and stamping machines. Integrations were extended to operate alongside Nissan’s enterprise software landscape, with engineers able to integrate Senseye PdM outputs with other systems independent of Senseye, supporting maintenance planning and work order orchestration. Operational coverage centers on maintenance, reliability engineering and operations teams, with over 500 concurrent users accessing the platform to manage maintenance activities and execute condition driven repairs. Governance shifted toward autonomous adoption, with centralized upskilling through the Omniverse and in house processes to on-board equipment and scale models. Reported outcomes tied to the implementation include tens of millions in saved downtime and a rapid return on investment of less than 3 months, with advance warnings of up to 6 months for impending failures. The deployment reduced preventative maintenance and secondary activities while delivering year on year OEE improvements as teams moved from reactive to predictive maintenance workflows. Nissan’s use of Senseye PdM illustrates application of a Computerized Maintenance Management (CMMS) solution through machine level modeling, remote monitoring, integrations and internal governance to embed predictive maintenance practices.
Enterprise Asset Management ERP Services and Operations 2020 2020
Analytics and BI
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Analytics and BI Analytics and BI 2014 2014
Data Warehouse Analytics and BI 2014 2014
Blockchain
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Blockchain Platform Blockchain 2023 2023
SCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Supply Chain Management SCM 2017 2018
Supply Chain Management SCM 2019 2019
Warehouse Management SCM 2019 2019
Warehouse Management SCM 2019 2019
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Call Center CRM 2019 2019
Marketing Automation CRM 2014 2014
Sales Automation, CRM, Sales Engagement CRM 2019 2019
PLM and Engineering
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Material Simulation PLM and Engineering 2006 2006
Process Simulation PLM and Engineering 2022 2022
Product Lifecycle Management PLM and Engineering 2022 2022
TRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Governance, Risk and Compliance TRM 2018 2018
Treasury Management TRM 2007 2008
Treasury Management TRM 2005 2006
Treasury Management TRM 2022 2022
Treasury Management TRM 2005 2005
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2020 2020
Application Hosting and Computing Services IaaS 2019 2019
Content Delivery Network IaaS 2019 2019
Database Management IaaS 2017 2017
Database Management IaaS 2014 2014
IT Decision Makers and Key Stakeholders at Nissan
First Name Last Name Title Function Department Email Phone
No data found
Apps Being Evaluated by Nissan Executives
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD Nissan Technographics

Nissan is a Automotive organization based in Japan, with around 132790 employees and annual revenues of $82.63 billion.

Nissan operates a diverse technology stack with applications such as SAP S/4 HANA, Workday HCM and Senseye PdM, covering areas like ERP Financial, Core HR and Computerized Maintenance Management (CMMS).

Nissan has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as SAP, Workday and Senseye.

Nissan recently adopted applications including Polygon PoS in 2023, MathWorks Simulink in 2022 and MathWorks MATLAB in 2022, highlighting its ongoing modernization strategy.

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

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