AI Buyer Insights:

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Worldsmart Tech Stack and Enterprise Applications

Worldsmart AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Microsoft Legacy Microsoft SQL Server 2017 Machine Learning Services ML and Data Science Platforms AI Development n/a 2015 2016
In 2015, Worldsmart implemented Microsoft SQL Server 2017 Machine Learning Services as part of its ML and Data Science Platforms stack. The deployment was positioned to host in-database analytic workflows and operational model scoring for the firm’s forecasting use cases. Microsoft SQL Server 2017 Machine Learning Services was configured to execute R-based analytics inside the database, enabling persistent model artifacts and scheduled scoring jobs. The configuration emphasized in-database execution and model operationalization, delivering repeatable inferencing through stored procedures and automated batch scoring pipelines. The SQL Server Machine Learning deployment was integrated with Azure Stream Analytics services for streaming input and with R Server for model training and experimentation, while Power BI was chosen as the presentation layer to reduce the technical burden of visualization and report delivery. The implementation tied data ingestion, model scoring, and interactive reporting together to support Worldsmart’s machine learning forecasts and analysis workflows within its analytics and decision support processes.
Worldsmart CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Zendesk Legacy Zendesk Service Customer Support CRM n/a 2015 2015
In 2015, Worldsmart implemented Zendesk Service as its Customer Support solution on its website. The deployment used Zendesk Service as a cloud hosted SaaS instance embedded into the public site to capture web inquiries and convert them into tracked tickets, centralizing customer requests for the service team. Core capabilities implemented include web ticketing, a customer portal and knowledge base for self service, routing and queue management to assign work to support and service delivery teams in Australia, and standard reporting and workflow automation to enforce case lifecycle stages. Governance emphasized centralized queue ownership, defined escalation rules and agent use of macros and templates to standardize responses, with operational scope covering customer support and service delivery functions. Zendesk Service remains the primary Customer Support platform linking the website front end to back end support operations.
Worldsmart CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Mimecast Legacy Mimecast Email Security Secure Email Gateways (SEGs) CyberSecurity n/a 2021 2021

IT Decision Makers and Key Stakeholders at Worldsmart

First Name Last Name Title Function Department Email Phone
Managing Director Director Finance
General Manager Manager Finance

Apps Being Evaluated by Worldsmart Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Worldsmart IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Worldsmart digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Worldsmart Technographics
Worldsmart is a Professional Services organization based in Australia, with around 100 employees and annual revenues of $10.0 million.
Worldsmart operates a diverse technology stack with applications such as Microsoft SQL Server 2017 Machine Learning Services, Zendesk Service and Mimecast Email Security, covering areas like ML and Data Science Platforms, Customer Support and Secure Email Gateways (SEGs).
Worldsmart has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Microsoft, Zendesk and Mimecast.
Worldsmart recently adopted applications including Mimecast Email Security in 2021, Microsoft SQL Server 2017 Machine Learning Services in 2015 and Zendesk Service in 2015, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Worldsmart’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Worldsmart’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 Worldsmart technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.