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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

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

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

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

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Mercedes-Benz Trucks UK Tech Stack and Enterprise Applications

Mercedes-Benz Trucks UK ERP
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
SAP Legacy SAP ERP ECC 6.0 ERP Financial ERP n/a 2016 2016
In 2016 Mercedes-Benz Trucks UK implemented SAP ERP ECC 6.0 to provide an ERP Financial backbone for sales and finance operations across its UK truck business. The SAP ERP ECC 6.0 deployment, referenced as MySAPERP2005 ECC6 in support documentation, was positioned to support Daimler SAP application landscapes and partner applications for new vehicle sales. The implementation footprint included FI-CO financials, SRM procurement modules, PI for application integration, a VMS identified as CESAR for vendor management, and BI on HANA for operational reporting. Configuration and support activities focused on standard FI-CO ledgers and procurement workflows, with BI on HANA used for sales cycle reporting and operational analytics. Integrations were handled through SAP PI to connect SAP ERP ECC 6.0 with partner sales applications and the VMS CESAR, establishing a data exchange layer to support order processing and vendor interactions. Operational coverage emphasized the sales organisation and their monthly sales cycle, with support responsibilities extending to both in-house teams and partner application owners. Governance work included a formal review of the support organisation in collaboration with the Operational Excellence Team to mature the support model and stabilize the operational application. Process changes introduced super user engagement to surface knowledge gaps, a vendor management cadence of regular meetings, and a support model aligned to stakeholder priorities, with a planned future migration to SAP S4 HANA noted in the program roadmap. Explicit outcomes recorded during the contract period included a reduction in the volume of incoming incidents through targeted mini changes and knowledge transfer activities, improved vendor management relationships via regular collaboration, and closer alignment with senior stakeholders to deliver appropriate levels of support through the monthly sales cycle.
Expense Management ERP 2014 2015
Mercedes-Benz Trucks UK Content Management
Vendor
Previous System
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Category
Market
VAR/SI
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Live
Insight
Adobe Systems Legacy Adobe Experience Manager Digital Asset Management Content Management n/a 2018 2018
In 2018, Mercedes-Benz Trucks UK implemented Adobe Experience Manager. Adobe Experience Manager is used as a Digital Asset Management solution on their public website to centralize brand and product media. The deployment centers on Adobe Experience Manager capabilities common to the Digital Asset Management category, including a centralized asset repository, metadata and taxonomy controls, automated renditions for web delivery, and search and tagging to support editorial workflows. Configuration focuses on asset ingestion, versioning, and publishing pipelines that feed web pages and marketing content, with native authoring tools used by content teams to manage imagery and product media. Adobe Experience Manager is integrated directly with the Mercedes-Benz Trucks UK website infrastructure to serve approved assets into web content and marketing pages, supporting marketing and digital experience functions. Governance is implemented through role based access, approval workflows, and lifecycle policies for asset retention and publishing, aligning content production and web delivery processes across content authors and marketing teams.
Mercedes-Benz Trucks UK Procurement
Vendor
Previous System
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VAR/SI
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Insight
SAP Legacy SAP SRM Supplier Relationship Management Procurement n/a 2016 2016
In 2016 Mercedes-Benz Trucks UK implemented SAP SRM within its MySAPERP2005 ECC6 SAP footprint. SAP SRM was adopted as the Supplier Relationship Management application to centralize vendor management and procurement workflows for the UK truck business. The implementation sat alongside ECC6 FI-CO and used SAP PI middleware for interfaces, with integration points to VMS (CESAR) and BI on Hana noted in the SAP footprint. Configuration work focused on core SRM procurement and vendor collaboration capabilities, supported by application support processes that addressed repeat incident remediation and mini change deployments. Operational coverage included procurement, vendor management, and finance teams, plus close support for partner applications used in new vehicle sales and the monthly sales cycle. The deployment was managed as part of the wider MySAPERP2005 environment, leveraging PI for system-to-system connectivity and BI on Hana for reporting and analytical visibility. Governance and process changes were led through a review of the support organisation in collaboration with the Operational Excellence Team, introducing a more mature support model and structured stakeholder engagement. Reported outcomes from support activities included a reduction in incoming incidents through targeted fixes, improved vendor management relationships via regular coordination, and enhanced operational support for senior stakeholders, with a planned future move to SAP S/4 Hana mentioned for subsequent program phases.
Mercedes-Benz Trucks UK TRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Governance, Risk and Compliance TRM 2021 2021
Mercedes-Benz Trucks UK IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2018 2018
Content Delivery Network IaaS 2019 2019

IT Decision Makers and Key Stakeholders at Mercedes-Benz Trucks UK

First Name Last Name Title Function Department Email Phone
HR Director Director HR
Head of Tax Director Finance
Head of IT Director IT
IT Project Manager Manager IT
Financial Controller Director Finance

Apps Being Evaluated by Mercedes-Benz Trucks UK Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Mercedes-Benz Trucks UK IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Mercedes-Benz Trucks UK digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Mercedes-Benz Trucks UK Technographics
Mercedes-Benz Trucks UK is a Transportation organization based in United Kingdom, with around 3000 employees and annual revenues of $550.0 million.
Mercedes-Benz Trucks UK operates a diverse technology stack with applications such as SAP ERP ECC 6.0, Adobe Experience Manager and SAP SRM, covering areas like ERP Financial, Digital Asset Management and Supplier Relationship Management .
Mercedes-Benz Trucks UK has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as SAP and Adobe Systems.
Mercedes-Benz Trucks UK recently adopted applications including Usercentrics Consent Management Platform (CMP) in 2021, Amazon CloudFront in 2019 and Adobe Experience Manager in 2018, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Mercedes-Benz Trucks UK’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Mercedes-Benz Trucks UK’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
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