AI Buyer Insights:

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

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

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

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Shanghai Macalline Commercial Real Estate Investment Tech Stack and Enterprise Applications

Shanghai Macalline Commercial Real Estate Investment Analytics and BI
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Alibaba Legacy Alibaba Quick BI Analytics and BI Analytics and BI n/a 2025 2025
In 2025, Shanghai Macalline Commercial Real Estate Investment implemented Alibaba Quick BI as a centralized Analytics and BI platform. The deployment targeted inefficiencies across marketing and operational processes for Red Star Macalline Group, a home improvement and furniture retail operator with a large network of physical stores and online platforms in China. The implementation created a centralized data platform that aggregates sales, customer demographics, and product performance data, and it embedded Alibaba Quick BI capabilities for predictive analytics and real time insights. Configuration emphasized Quick BI auto linkage and drill down capabilities, and the solution enabled automated report generation and configurable dashboards for marketing and operations teams. Alibaba Quick BI was integrated into the company's existing infrastructure to link disparate data sources across retail and ecommerce channels, enabling real time updates and cross system visibility. The platform supported operational coverage across marketing, merchandising, and store operations, providing a unified analytics layer for teams to explore customer segmentation and product performance. The rollout instituted a more centralized reporting cadence and moved decision making toward self service analytics and AI assisted forecasting, reshaping workflows in campaign planning and operational response. Governance focused on the centralized data platform and standardized data models to ensure consistent metrics and drill down paths across departments. As reported, the Quick BI implementation delivered measurable outcomes, lowering operational costs by over 30 percent and increasing advertising revenue by 20 percent, while improving marketing efficiency and customer targeting. Alibaba Quick BI and the centralized Analytics and BI platform strengthened Red Star Macalline's ability to identify market trends and act on customer preferences faster.
Shanghai Macalline Commercial Real Estate Investment Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Salesforce Legacy Slack Connect Collaboration Collaboration n/a 2022 2022
In 2022 Shanghai Macalline Commercial Real Estate Investment deployed Slack Connect as a core Collaboration capability and is using Slack on their website. The deployment signals the company adopted Slack Connect to enable channel based collaboration and external partner messaging while surfacing Slack to website visitors for customer or partner touch points. The Slack Connect deployment emphasizes standard Collaboration modules, including shared channels for external stakeholders, channel collaboration for cross functional teams, threaded conversations and file sharing, and configurable notification and presence settings. Configuration work likely included workspace organization, user role assignment, and channel governance to align Slack Connect with corporate communication patterns. Operational use appears focused on business functions such as property operations, leasing, marketing, and corporate communications, with governance constructs to manage external access and channel lifecycle. Administrative controls and policy driven provisioning are expected components of the rollout to enforce access, naming conventions, and external channel approval workflows, reflecting a Collaboration implementation oriented toward both internal coordination and external partner engagement.
Shanghai Macalline Commercial Real Estate Investment IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Microsoft Legacy Microsoft Azure Cloud Services Application Hosting and Computing Services IaaS n/a 2020 2020
In 2020, Shanghai Macalline Commercial Real Estate Investment deployed Microsoft Azure Cloud Services to host and run its public website infrastructure. This deployment is categorized as Application Hosting and Computing Services and uses Microsoft Azure Cloud Services to provide the company with a cloud-first platform for its customer-facing web presence. The implementation centers on web hosting and cloud compute, leveraging Azure compute, storage, content delivery and identity capabilities to support site delivery, session management and operational monitoring. The Microsoft Azure Cloud Services deployment impacts web operations and digital marketing functions, consolidating hosting, application runtime and monitoring into a single cloud environment while enabling standard cloud workflows for deployment, scaling and availability.

IT Decision Makers and Key Stakeholders at Shanghai Macalline Commercial Real Estate Investment

First Name Last Name Title Function Department Email Phone
No data found

Apps Being Evaluated by Shanghai Macalline Commercial Real Estate Investment Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Shanghai Macalline Commercial Real Estate Investment IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Shanghai Macalline Commercial Real Estate Investment digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD Shanghai Macalline Commercial Real Estate Investment Technographics
Shanghai Macalline Commercial Real Estate Investment is a Construction and Real Estate organization based in China, with around 500 employees and annual revenues of $91.0 million.
Shanghai Macalline Commercial Real Estate Investment operates a diverse technology stack with applications such as Alibaba Quick BI, Slack Connect and Microsoft Azure Cloud Services, covering areas like Analytics and BI, Collaboration and Application Hosting and Computing Services.
Shanghai Macalline Commercial Real Estate Investment has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Alibaba, Salesforce and Microsoft.
Shanghai Macalline Commercial Real Estate Investment recently adopted applications including Alibaba Quick BI in 2025, Slack Connect in 2022 and Microsoft Azure Cloud Services in 2020, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Shanghai Macalline Commercial Real Estate Investment’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Shanghai Macalline Commercial Real Estate Investment’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 Shanghai Macalline Commercial Real Estate Investment technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.