AI Buyer Insights:

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

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

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

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

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

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Michelin, an e2open customer evaluated Oracle Transportation Management

Great Wall Motor Tech Stack and Enterprise Applications

Great Wall Motor AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Cerence Legacy Cerence CaLLM Edge Generative AI Platforms AI Development n/a 2025 2025
In 2025 Great Wall Motor demonstrated Cerence CaLLM Edge in a GWM vehicle at Auto Shanghai 2025, using Cerence xUI to showcase multimodal, multi-seat in-car conversational and infotainment interactions in English and Mandarin. The demonstration positioned Cerence CaLLM Edge within the Generative AI Platforms category as an embedded small language model configured for low latency on-device conversational user experience, tied directly to vehicle voice and display surfaces. The implementation signal emphasized embedded on-device inference and multimodal capability, with Cerence CaLLM Edge driving simultaneous conversational channels for multiple seats and coordinating with Cerence xUI to surface voice, text and visual responses in the vehicle infotainment flow. Functional capabilities shown included natural language understanding in English and Mandarin, multi-seat session handling, and low-latency on-device generation to support conversational UX and infotainment workflows. The Auto Shanghai event was an engineering and product demonstration rather than a production launch, with scope limited to a GWM demonstration vehicle and no public production rollout described. Governance and rollout details were not announced, the showcase served as a proof point for embedding Generative AI Platforms into in-vehicle conversational and infotainment systems and for validating on-device LLM architectures in a live automotive context.
Great Wall Motor Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Salesforce Legacy Slack Connect Collaboration Collaboration n/a 2022 2022
In 2022, Great Wall Motor implemented Slack Connect as part of its Collaboration tooling and began surfacing Slack functionality on its public website. The deployment emphasizes Slack Connect as the enterprise communication layer, with the full application name Slack Connect used to enable cross-organization channels and external messaging flows alongside internal team collaboration. Configuration work focused on Collaboration capabilities typical of the category, including shared channels for partners, real time messaging, presence indicators, and file exchange to support supplier and customer interactions. Slack Connect was provisioned as a cloud hosted collaboration platform and configured to present contact and channel access points directly from Great Wall Motor website pages to streamline external engagement. Integrations concentrated on embedding Slack presence and invitation flows into the corporate website, creating a web to channel touchpoint that links external partners and customers into controlled Slack Connect channels. Operational coverage spans customer engagement teams, partner management, and internal product and engineering groups, aligning web interactions with ongoing cross functional communications. Governance and rollout included channel provisioning rules, external access approvals, and administrative controls to manage partner onboarding and information sharing. The implementation reflects a structured approach to Collaboration configuration, emphasizing access governance and workflow alignment across the impacted business functions.
Great Wall Motor CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google Legacy Google Tag Manager Tag Management CRM n/a 2020 2020
In 2020, Great Wall Motor implemented Google Tag Manager on its public website. Google Tag Manager is deployed as a centralized client-side tagging container and is used to govern tag configuration and runtime behavior in support of Tag Management. The implementation is focused on web tagging for the corporate site at https://www.gwm-global.com/ and other web-visible digital touchpoints. Configuration uses standard container constructs such as workspaces, versioning, triggers, variables, and a data layer to capture page events and control tag firing. Operational ownership is oriented to digital marketing and web analytics functions, enabling marketing teams to manage tags and event tracking without direct code changes to the site. Governance is applied through role based access controls, workspace separation, and published container versioning to support controlled rollouts and rollback capability.
Great Wall Motor IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2022 2022
Content Delivery Network IaaS 2022 2022

IT Decision Makers and Key Stakeholders at Great Wall Motor

First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Great Wall Motor Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Great Wall Motor IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Great Wall Motor digital transformation priorities and AI adoption trends.
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FAQ - APPS RUN THE WORLD Great Wall Motor Technographics
Great Wall Motor is a Automotive organization based in China, with around 77934 employees and annual revenues of $19.78 billion.
Great Wall Motor operates a diverse technology stack with applications such as Cerence CaLLM Edge, Slack Connect and Google Tag Manager, covering areas like Generative AI Platforms, Collaboration and Tag Management.
Great Wall Motor has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Cerence, Salesforce and Google.
Great Wall Motor recently adopted applications including Cerence CaLLM Edge in 2025, Slack Connect in 2022 and Huawei Cloud in 2022, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Great Wall Motor’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Great Wall Motor’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 Great Wall Motor technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.